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Advances in business statistics, methods and data collection / / edited by Mojca Bavdaž [and six others]
| Advances in business statistics, methods and data collection / / edited by Mojca Bavdaž [and six others] |
| Pubbl/distr/stampa | Hoboken, NJ : , : John Wiley and Sons, Inc., , [2023] |
| Descrizione fisica | 1 online resource (899 pages) |
| Disciplina | 519.5 |
| Soggetto topico |
Commercial statistics - Methodology
Industrial management - Statistical methods Statistical services |
| ISBN |
1-119-67233-3
1-119-67231-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- List of Contributors -- Part 1 Introduction to New Measures/Indicators for the Economy -- Chapter 1 Advances in Business Statistics, Methods and Data Collection: Introduction -- 1.1 The ICES‐VI Edited Volume: A New Book on Establishment Statistics Methodology -- 1.2 The Importance of Establishment Statistics -- 1.3 ICES Trends -- 1.4 Organization of This Book -- 1.4.1 Section 1: Introduction to New Measures/Indicators for the Economy -- 1.4.2 Section 2: Topics in the Production of Official Establishment Statistics and Organizational Frameworks -- 1.4.3 Section 3: Topics in the Use of Administrative Data -- 1.4.4 Section 4: Topics in Business Survey Data Collection -- 1.4.5 Section 5: Topics in the Use of New Data Sources and New Technologies -- 1.4.6 Section 6: Topics in Sampling and Estimation -- 1.4.7 Section 7: Topics in Data Integration, Linking and Matching -- 1.5 To Conclude … -- Disclaimer -- References -- Chapter 2 GDP and the SNA: Past and Present -- 2.1 Introduction -- 2.2 The Origins of National Income Statistics - A Brief History -- 2.2.1 Early Developments -- 2.2.2 Invention of Gross National Product (GNP) -- 2.2.3 The Debate on Including Government -- 2.2.4 Toward a System of National Accounts -- 2.2.5 Global Proliferation of GDP -- 2.3 SNA and GDP Today -- 2.3.1 The System at Large -- 2.3.2 Supply and Use Tables -- 2.3.3 Institutional Sector Accounts -- 2.3.4 The Link Between Supply and Use Tables and the Institutional Sector Accounts -- 2.3.5 Consistency and Coherence -- 2.3.6 The Relationship Between National Accounts and Business Statistics -- 2.3.6.1 Definitional Adjustments -- 2.3.6.2 Adjustments for Exhaustiveness -- 2.3.6.3 Adjustments for Time Consistency -- 2.3.6.4 Balancing Adjustments -- 2.4 Most Recent and Important Revisions to SNA (Implications for Business Statistics).
2.4.1 International Standards Not Set in Stone -- 2.4.2 From SNA 1968 to SNA 1993 -- 2.4.3 From SNA 1993 to SNA 2008 -- 2.4.4 The SNA and Source Statistics for Enterprises -- 2.5 Conclusions and Implications for Business Statistics -- References -- Chapter 3 GDP and the SNA: Future Challenges -- 3.1 Introduction -- 3.2 An Agenda for the Future -- 3.3 The Tangled Web of Globalization -- 3.4 The Digital Revolution -- 3.5 Moving Beyond GDP: GDP Impeached -- 3.6 Including a Measure of Well‐being -- 3.7 Putting a Value on the Environment -- 3.8 Challenges Replacing GDP -- 3.9 Conclusions and Implications for Business Statistics -- References -- Chapter 4 Bridging the Gap Between Business and Macroeconomic Statistics: Methodological Considerations and Practical Solutions -- 4.1 Introduction -- 4.2 Global Production and Statistics -- 4.2.1 Concepts of Nationality and Economic Ownership -- 4.2.2 Case Finland: Global Production in Economic Statistics -- 4.2.2.1 Identification of Enterprises Involved in Global Production -- 4.2.2.2 Case on Automotive Industry -- 4.2.2.3 Foreign Trade of Goods Based on Economic Ownership -- 4.2.2.4 Challenges Related to Global Production Recordings -- 4.3 Co‐operation Between National Statistical Offices and National Central Bank Statistics Functions Tackling Globalization Problems -- 4.3.1 Foreign Direct Investment Network as an Example of Co‐operation -- 4.3.2 Early‐Warning System (EWS) -- 4.3.3 A Roadmap for Solving the Globalization‐Related Issues in Monetary, Financial, and Balance of Payments - Statistics -- 4.4 Bridging the Gap Between Business and Economic Statistics Through Global Data Sharing -- 4.4.1 Product Innovation - One‐Off or Regular Data Sharing for Better Quality -- 4.4.2 Service Innovation - Improving Respondent Service for MNEs -- 4.4.3 Process Innovation to Statistical Production by Data Sharing. 4.4.4 Innovating User Experience - Better Relevance and Consistency for Users -- 4.4.5 Organizational Innovation - Changing the Business Model of Official Statistics -- 4.4.6 Cultural Innovation - Key to Making it Happen -- 4.4.7 Innovation in Other Industries to Learn From -- References -- Chapter 5 Measuring Investment in Intangible Assets -- 5.1 Introduction -- 5.2 Data Sources on Intangibles -- 5.2.1 Past Surveys on Intangibles -- 5.2.2 Comparison of Past Surveys on Intangibles -- 5.3 Measurement Challenges in Surveys -- 5.3.1 Intangibles Are Intangible and Mobile -- 5.3.2 Own‐Account Investment Prevails -- 5.3.3 Pricing of Intangibles Is Difficult -- 5.3.4 In Search of the Most Suitable Respondent for Intangibles -- 5.3.5 Investments in Intangibles Take Time -- 5.3.6 Data Existence Questioned -- 5.3.7 Evidence of Inconsistent Respondent Behavior -- 5.3.8 Summarizing the Challenges in Intangible Surveys: The 4 "F" Words -- 5.4 Intangibles and the Productivity Puzzle -- 5.4.1 Analytical Considerations -- 5.4.2 Role of Global Value Chains -- 5.5 Collecting Data on Intangibles: The Way Ahead -- 5.5.1 Methodological Improvements -- 5.5.2 Data Needs Today and Tomorrow -- 5.5.2.1 Current and Potential Users -- 5.5.2.2 A (Single) IA Survey or a Bundle of Data Sources? -- 5.5.2.3 A Parallel Development Path: Assessing Intangible Asset Stocks -- 5.6 Conclusion -- Acknowledgment -- References -- Chapter 6 Measuring the US Digital Economy -- 6.1 Introduction -- 6.2 Experimental Digital Economy Measures -- 6.2.1 Methodology -- 6.2.1.1 Defining the Digital Economy -- 6.2.1.2 Calculating Results -- 6.2.2 Domestic Trends -- 6.2.2.1 Value Added -- 6.2.2.2 Gross Output -- 6.2.2.3 Prices -- 6.2.3 International Collaboration and Alignment -- 6.2.3.1 The Organization for Economic Co‐operation and Development Working Party on National Accounts. 6.2.3.2 International Comparisons -- 6.2.4 Other Areas of Research -- 6.2.4.1 "Free" Digital Media -- 6.2.4.2 Measurement and Treatment of Data -- 6.2.4.3 Prices -- 6.3 Measuring Digital Services Trade -- 6.3.1 Defining Digital Services for International Trade -- 6.3.2 Trends in ICT and ICT‐enabled Services -- 6.3.3 Areas of Research -- 6.4 Conclusion and Way Forward -- References -- Chapter 7 Establishment Based Informal Sector Statistics: An Endeavor of Measurement from Economic Census 2018 of Nepal -- 7.1 Introduction -- 7.2 Issues of Informal Sector in Legislation and Policies in Nepal -- 7.2.1 Constitution 2015 -- 7.2.2 Labor Act 2017 -- 7.2.3 Contribution Based Social Security Act 2017 -- 7.2.4 Fifteenth Periodic Plan (2019/20-2023/24) -- 7.2.5 National Employment Policy 2014 -- 7.3 Concept and Definition of Informal Sector -- 7.3.1 Definition of Informal Sector from Statistical Perspective -- 7.4 Endeavors of Measuring Informal Economic Activities in Nepal -- 7.4.1 Nepal Labor Force Survey -- 7.4.2 Nepal Living Standard Surveys (NLSS) -- 7.4.3 Population Censuses -- 7.5 Economic Census 2018 -- 7.5.1 Contents of Economic Census 2018 -- 7.6 Status of the Informal Sector Statistics -- 7.6.1 Informal Sector Statistics from Nepal Labor Force Survey 1998 and 2008 -- 7.6.2 Informal Sector Statistics from Nepal Labor Force Survey 2017/18 -- 7.6.3 Informal Sector Statistics from National Population Census 2011 -- 7.6.4 Informal Sector Statistics from National Economic Census 2018 -- 7.6.5 Status of Keeping Accounting Record -- 7.6.6 Informality in Micro Small and Medium Establishments (MSME) -- 7.6.7 Street Business Situation -- 7.7 Annual Revenues/Sales, Operating Expenses in Not‐Registered Establishments -- 7.8 Need of Regular Measurement Informal Sector -- 7.9 Conclusion -- References. Part 2 Topics in the Production of Official Establishment Statistics and Organizational Frameworks -- Chapter 8 Statistical Producers Challenges and Help -- 8.1 Introduction -- 8.2 A Brief Overview of the Evolution of Economic Statistics, and the Establishment of National Statistical Institutes -- 8.3 Our Statistical Ecosystem -- 8.4 Help Available to Us -- 8.4.1 International Governance -- 8.4.2 Statistical Principles to Produce and Disseminate Official Statistics -- 8.4.3 Statistical Production Models and Frameworks -- 8.4.3.1 Quality Assurance Frameworks -- 8.4.4 Statistical Manuals and Handbooks -- 8.4.5 Classifications -- 8.4.5.1 Classifying Businesses -- 8.4.5.2 Classifying Employment and Workers -- 8.4.5.3 Classifications Overview -- 8.4.6 Statistical Tools -- 8.4.7 International Collaboration and Support -- 8.5 Summary Before the Case Study -- 8.6 Standardization Leads to Efficiency: Canada's Integrated Business Statistics Program -- 8.7 IBSP Objectives -- 8.8 Cornerstones of an Integrated Infrastructure System -- 8.9 Metadata‐Driven Model -- 8.10 Integrated Infrastructure -- 8.11 Information Management -- 8.12 Standardization and Cooperation Within IBSP -- 8.13 The Business Register -- 8.13.1 The BR as the Common Frame -- 8.13.2 Allocation Factors on the BR -- 8.13.3 Commodities and Activities on the BR -- 8.13.4 Robust Methodologies and Generalized Systems -- 8.14 Standard Tools for Developing EQ -- 8.15 Developing a Harmonized Content Model -- 8.16 The IBSP Data Mart and Analytical Tools -- 8.17 Managing Response Burden -- 8.18 Electronic Questionnaires -- 8.19 Large and Complex Enterprises -- 8.19.1 EPM/LAOS Programs -- 8.19.2 Customized Collection -- 8.20 Tax Replacement Strategy -- 8.21 Active Collection Management -- 8.22 Rolling Estimate Model -- 8.23 IBSP Growth and Adaptation -- 8.24 Efficiencies Gained and Learned. 8.25 Conclusion. |
| Record Nr. | UNINA-9910677787203321 |
| Hoboken, NJ : , : John Wiley and Sons, Inc., , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big data, big innovation : enabling competitive differentiation through business analytics / / Evan Stubbs
| Big data, big innovation : enabling competitive differentiation through business analytics / / Evan Stubbs |
| Autore | Stubbs Evan |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (253 p.) |
| Disciplina | 658.4/013 |
| Collana | Wiley & SAS Business Series |
| Soggetto topico |
Business planning
Strategic planning Big data Decision making - Statistical methods Industrial management - Statistical methods |
| ISBN |
1-118-92552-1
1-118-91498-8 1-118-92553-X |
| Classificazione | BUS000000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine generated contents note: Preface Acknowledgments PART ONE May You Live in Interesting Times CHAPTER 1 Lead or Get Out of the Way The Future is Now The Secret is Leadership Notes CHAPTER 2 Disruption as a Way of Life The Age of Uncertainty The Emergence of Big Data Rise of the Ronin The Knowledge Rush Systematized Chaos Notes PART TWO Understanding Culture and Capability CHAPTER 3 The Cultural Imperative Level 1: Dazed and Confused Level 2: Activities and Algorithms Level 3: Value and Outcomes Level 4: Functional Innovation Level 5: Revolutionary Disruptor Notes CHAPTER 4 The Intelligent Enterprise Level 1: Unstructured Chaos Level 2: Structured Chaos Levels 3 - 5: The Intelligent Enterprise Notes PART THREE Making It Real CHAPTER 5 Organizational Design What Should It Look Like? What Should It Focus On? What Services Can It Offer? What Data Does It Need? Notes CHAPTER 6 Operating Models What's the Goal? What's the Enabler? How Does It Create Value? The Wheel of Value Ensuring Sustainability Notes CHAPTER 7 Human Capital What Capabilities Do I Need? How Do I Get the Right People? How Do I Keep Them? Notes PART FOUR Making it Happen CHAPTER 8 Innovating with Dynamic Value The Innovation Cycle The Innovation Paradox The Secret to Success: Dynamic Value The Innovation Engine Reinventing the Ronin Notes CHAPTER 9 Creating a Plan Start the Conversation Defining the Vision Identifying Opportunities Mapping Responsibilities Taking to the Next Level Notes CHAPTER 10 The Final Chapter Is Up to You Glossary About the Author Index . |
| Record Nr. | UNINA-9910132172603321 |
Stubbs Evan
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||
| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big data, big innovation : enabling competitive differentiation through business analytics / / Evan Stubbs
| Big data, big innovation : enabling competitive differentiation through business analytics / / Evan Stubbs |
| Autore | Stubbs Evan |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (253 p.) |
| Disciplina | 658.4/013 |
| Collana | Wiley & SAS Business Series |
| Soggetto topico |
Business planning
Strategic planning Big data Decision making - Statistical methods Industrial management - Statistical methods |
| ISBN |
1-118-92552-1
1-118-91498-8 1-118-92553-X |
| Classificazione | BUS000000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine generated contents note: Preface Acknowledgments PART ONE May You Live in Interesting Times CHAPTER 1 Lead or Get Out of the Way The Future is Now The Secret is Leadership Notes CHAPTER 2 Disruption as a Way of Life The Age of Uncertainty The Emergence of Big Data Rise of the Ronin The Knowledge Rush Systematized Chaos Notes PART TWO Understanding Culture and Capability CHAPTER 3 The Cultural Imperative Level 1: Dazed and Confused Level 2: Activities and Algorithms Level 3: Value and Outcomes Level 4: Functional Innovation Level 5: Revolutionary Disruptor Notes CHAPTER 4 The Intelligent Enterprise Level 1: Unstructured Chaos Level 2: Structured Chaos Levels 3 - 5: The Intelligent Enterprise Notes PART THREE Making It Real CHAPTER 5 Organizational Design What Should It Look Like? What Should It Focus On? What Services Can It Offer? What Data Does It Need? Notes CHAPTER 6 Operating Models What's the Goal? What's the Enabler? How Does It Create Value? The Wheel of Value Ensuring Sustainability Notes CHAPTER 7 Human Capital What Capabilities Do I Need? How Do I Get the Right People? How Do I Keep Them? Notes PART FOUR Making it Happen CHAPTER 8 Innovating with Dynamic Value The Innovation Cycle The Innovation Paradox The Secret to Success: Dynamic Value The Innovation Engine Reinventing the Ronin Notes CHAPTER 9 Creating a Plan Start the Conversation Defining the Vision Identifying Opportunities Mapping Responsibilities Taking to the Next Level Notes CHAPTER 10 The Final Chapter Is Up to You Glossary About the Author Index . |
| Record Nr. | UNISA-996204372003316 |
|
Stubbs Evan
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||
| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Big data, big innovation : enabling competitive differentiation through business analytics / / Evan Stubbs
| Big data, big innovation : enabling competitive differentiation through business analytics / / Evan Stubbs |
| Autore | Stubbs Evan |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (253 p.) |
| Disciplina | 658.4/013 |
| Collana | Wiley & SAS Business Series |
| Soggetto topico |
Business planning
Strategic planning Big data Decision making - Statistical methods Industrial management - Statistical methods |
| ISBN |
1-118-92552-1
1-118-91498-8 1-118-92553-X |
| Classificazione | BUS000000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine generated contents note: Preface Acknowledgments PART ONE May You Live in Interesting Times CHAPTER 1 Lead or Get Out of the Way The Future is Now The Secret is Leadership Notes CHAPTER 2 Disruption as a Way of Life The Age of Uncertainty The Emergence of Big Data Rise of the Ronin The Knowledge Rush Systematized Chaos Notes PART TWO Understanding Culture and Capability CHAPTER 3 The Cultural Imperative Level 1: Dazed and Confused Level 2: Activities and Algorithms Level 3: Value and Outcomes Level 4: Functional Innovation Level 5: Revolutionary Disruptor Notes CHAPTER 4 The Intelligent Enterprise Level 1: Unstructured Chaos Level 2: Structured Chaos Levels 3 - 5: The Intelligent Enterprise Notes PART THREE Making It Real CHAPTER 5 Organizational Design What Should It Look Like? What Should It Focus On? What Services Can It Offer? What Data Does It Need? Notes CHAPTER 6 Operating Models What's the Goal? What's the Enabler? How Does It Create Value? The Wheel of Value Ensuring Sustainability Notes CHAPTER 7 Human Capital What Capabilities Do I Need? How Do I Get the Right People? How Do I Keep Them? Notes PART FOUR Making it Happen CHAPTER 8 Innovating with Dynamic Value The Innovation Cycle The Innovation Paradox The Secret to Success: Dynamic Value The Innovation Engine Reinventing the Ronin Notes CHAPTER 9 Creating a Plan Start the Conversation Defining the Vision Identifying Opportunities Mapping Responsibilities Taking to the Next Level Notes CHAPTER 10 The Final Chapter Is Up to You Glossary About the Author Index . |
| Record Nr. | UNINA-9910827865703321 |
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Stubbs Evan
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| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Measurement matters : how effective assessment drives business and safety performance / / Brooks Carder and Patrick Ragan
| Measurement matters : how effective assessment drives business and safety performance / / Brooks Carder and Patrick Ragan |
| Autore | Carder Brooks <1942-> |
| Pubbl/distr/stampa | Milwaukee, Wisconsin : , : ASQ Quality Press, , 2005 |
| Descrizione fisica | 1 online resource (232 p.) |
| Disciplina | 363.11/02 |
| Soggetto topico |
Industrial management - Statistical methods
Industrial safety - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN | 600-00-4762-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910453009403321 |
|
Carder Brooks <1942->
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||
| Milwaukee, Wisconsin : , : ASQ Quality Press, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Measurement matters : how effective assessment drives business and safety performance / / Brooks Carder and Patrick Ragan
| Measurement matters : how effective assessment drives business and safety performance / / Brooks Carder and Patrick Ragan |
| Autore | Carder Brooks <1942-> |
| Pubbl/distr/stampa | Milwaukee, Wisconsin : , : ASQ Quality Press, , 2005 |
| Descrizione fisica | 1 online resource (232 p.) |
| Disciplina | 363.11/02 |
| Soggetto topico |
Industrial management - Statistical methods
Industrial safety - Statistical methods |
| ISBN |
0-87389-568-1
600-00-4762-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | The fundamental principles of Dr. Deming's approach -- Dr. Deming's system of profound knowledge -- Some principles of measurement -- Incident-based measures -- Incident investigation -- Systematic observation of behavior -- Audits -- The safety survey -- Taking action based on the survey -- Leadership. |
| Record Nr. | UNINA-9910779872803321 |
|
Carder Brooks <1942->
|
||
| Milwaukee, Wisconsin : , : ASQ Quality Press, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Measurement matters : how effective assessment drives business and safety performance / / Brooks Carder and Patrick Ragan
| Measurement matters : how effective assessment drives business and safety performance / / Brooks Carder and Patrick Ragan |
| Autore | Carder Brooks <1942-> |
| Pubbl/distr/stampa | Milwaukee, Wisconsin : , : ASQ Quality Press, , 2005 |
| Descrizione fisica | 1 online resource (232 p.) |
| Disciplina | 363.11/02 |
| Soggetto topico |
Industrial management - Statistical methods
Industrial safety - Statistical methods |
| ISBN |
0-87389-568-1
600-00-4762-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | The fundamental principles of Dr. Deming's approach -- Dr. Deming's system of profound knowledge -- Some principles of measurement -- Incident-based measures -- Incident investigation -- Systematic observation of behavior -- Audits -- The safety survey -- Taking action based on the survey -- Leadership. |
| Record Nr. | UNINA-9910818753203321 |
|
Carder Brooks <1942->
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||
| Milwaukee, Wisconsin : , : ASQ Quality Press, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Quantitative methods for business and management / / Stuart Wall, Claire Coday, Chris Mitchell
| Quantitative methods for business and management / / Stuart Wall, Claire Coday, Chris Mitchell |
| Autore | Wall Stuart <1946-> |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Harlow, England : , : Pearson Education Limited, , [2014] |
| Descrizione fisica | 1 online resource (360 pages) : illustrations (some color) |
| Disciplina | 658.5 |
| Collana | Always Learning |
| Soggetto topico |
Industrial management - Statistical methods
Commercial statistics |
| ISBN |
9780273770619
0-273-77061-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- Part One Introduction stage of product life cycle -- Chapter 1 Collecting and presenting data -- Introduction -- Collection of data -- Presenting data using frequency tables -- Presenting data using bar charts and pie charts -- Presenting data using histograms -- Presenting data using frequency polygons and frequency curves -- Presenting data using the Lorenz curve -- Review questions -- Chapter 2 Making sense of data: Central location and dispersion -- Introduction -- Notation -- Measures of central location -- Normal and skewed distribution -- Measures of dispersion -- Coefficient of variation (C of V) -- Review questions -- Chapter 3 Financial decision making: Project appraisal -- Introduction -- Investment and financial decision making -- Interest rates and project appraisal -- Compound factors, discounting and present value -- Cash flow and financial decision making -- Investment appraisal: non-discounting techniques -- Investment appraisal: discounting techniques -- Review questions -- Part Two Growth stage of product life cycle? -- Chapter 4 Regression, correlation and time series -- Introduction -- Regression analysis -- Correlation -- Spearman's coefficient of rank correlation -- Time series and forecasting -- Review questions -- Chapter 5 Probability and probability distributions -- Introduction -- Probability calculations -- Venn diagrams: events not mutually exclusive -- Independent events: AND rule -- Dependent events: conditional probability -- Game theory and expected value -- The normal distribution -- The binomial distribution -- The Poisson distribution -- Review questions -- Chapter 6 Sampling and tests of hypotheses -- Introduction -- Types of sample -- Distribution of sample means -- Confidence intervals -- Tests of hypotheses: principles and practice -- Student t-distribution.
Chi-squared test -- Review questions -- Part Three Maturity stage of product life cycle? -- Chapter 7 Business modelling: Linear relationships -- Introduction -- Break-even analysis -- Linear programming -- Solving the linear programme: maximisation -- Solving the linear programme: minimisation -- Review questions -- Chapter 8 Business modelling: Non-linear relationships -- Introduction -- Differentiation -- Turning points -- Rules of differentiation -- Applications of differentiation -- Partial differentiation -- Integration -- Review questions -- Chapter 9 Project management -- Introduction -- Defining projects -- Planning a project -- Network diagrams -- Critical path analysis -- Gantt charts -- Taking account of uncertainty: PERT -- Project costs and crashing -- Review questions -- Appendix 1 Review of basic mathematics -- Introduction -- Whole numbers, fractions and decimals -- Rounding off -- Percentages and ratios -- Powers and roots -- Simple algebra -- Solving equations -- Simultaneous equations -- Inequalities -- Graphs and functions -- Progressions -- Review questions -- Appendix 2 Probabilities for the normal distribution -- Appendix 3 Cumulative binomial probabilities -- Appendix 4 Cumulative Poisson probabilities -- Appendix 5 Student t critical values -- Appendix 6 x2 critical values -- Appendix 7 Table of random numbers -- Index. |
| Record Nr. | UNINA-9910151655403321 |
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Wall Stuart <1946->
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| Harlow, England : , : Pearson Education Limited, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Ricerca empirica e management : il contributo delle metodologie statistiche / / Luciana Lazzaretti, Giancarla Brusoni [[electronic resource]]
| Ricerca empirica e management : il contributo delle metodologie statistiche / / Luciana Lazzaretti, Giancarla Brusoni [[electronic resource]] |
| Autore | Lazzaretti Luciana |
| Pubbl/distr/stampa | Firenze, : Firenze university press, 2003 |
| Descrizione fisica | 1 online resource (54 p.) |
| Disciplina | 658 |
| Altri autori (Persone) | BrusoniGiancarla |
| Collana | Quaderni per la didattica / Università degli studi di Firenze |
| Soggetto topico |
Industrial management - Statistical methods
Industrial statistics |
| ISBN | 88-8453-091-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Altri titoli varianti | Ricerca empirica e management |
| Record Nr. | UNINA-9910146338003321 |
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Lazzaretti Luciana
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| Firenze, : Firenze university press, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistics, data analysis and decision modeling / / James R. Evans, Ayanendranath Basu
| Statistics, data analysis and decision modeling / / James R. Evans, Ayanendranath Basu |
| Autore | Evans James R. |
| Edizione | [Fifth edition, international edition.] |
| Pubbl/distr/stampa | Boston : , : Pearson, , 2013 |
| Descrizione fisica | 1 online resource (555 pages) |
| Disciplina | 658.4033 |
| Collana | Always learning |
| Soggetto topico |
Industrial management - Statistical methods
Statistical decision |
| ISBN | 0-273-77574-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Contents -- Preface -- Part I: STATISTICS AND DATA ANALYSIS -- Chapter 1 DATA AND BUSINESS DECISIONS -- Introduction -- Data in the Business Environment -- Sources and Types of Data -- Metrics and Data Classification -- Statistical Thinking -- Populations and Samples -- Using Microsoft Excel -- Basic Excel Skills -- Skill-Builder Exercise 1.1 -- Copying Formulas and Cell References -- Skill-Builder Exercise 1.2 -- Functions -- Skill‐Builder Exercise 1.3 -- Other Useful Excel Tips -- Excel Add-Ins -- Skill-Builder Exercise 1.4 -- Displaying Data with Excel Charts -- Column and Bar Charts -- Skill-Builder Exercise 1.5 -- Line Charts -- Skill-Builder Exercise 1.6 -- Pie Charts -- Skill-Builder Exercise 1.7 -- Area Charts -- Scatter Diagrams -- Skill‐Builder Exercise 1.8 -- Miscellaneous Excel Charts -- Ethics and Data Presentation -- Skill-Builder Exercise 1.9 -- Basic Concepts Review Questions -- Problems and Applications -- Case: A Data Collection and Analysis Project -- Chapter 2 DESCRIPTIVE STATISTICS AND DATA ANALYSIS -- Introduction -- Descriptive Statistics -- Frequency Distributions, Histograms, and Data Profiles -- Categorical Data -- Numerical Data -- Skill-Builder Exercise 2.1 -- Skill-Builder Exercise 2.2 -- Data Profiles -- Descriptive Statistics for Numerical Data -- Measures of Location -- Measures of Dispersion -- Skill-Builder Exercise 2.3 -- Measures of Shape -- Excel Descriptive Statistics Tool -- Skill-Builder Exercise 2.4 -- Measures of Association -- Skill-Builder Exercise 2.5 -- Descriptive Statistics for Categorical Data -- Skill-Builder Exercise 2.6 -- Visual Display of Statistical Measures -- Box Plots -- Dot‐Scale Diagrams -- Skill‐Builder Exercise 2.7 -- Outliers -- Data Analysis Using PivotTables -- Skill-Builder Exercise 2.8 -- Skill-Builder Exercise 2.9 -- Basic Concepts Review Questions.
Problems and Applications -- Case: The Malcolm Baldrige Award -- Skill-Builder Exercise 2.10 -- Skill-Builder Exercise 2.11 -- Chapter 3 PROBABILITY CONCEPTS AND DISTRIBUTIONS -- Introduction -- Basic Concepts of Probability -- Basic Probability Rules and Formulas -- Conditional Probability -- Skill-Builder Exercise 3.1 -- Random Variables and Probability Distributions -- Discrete Probability Distributions -- Expected Value and Variance of a Discrete Random Variable -- Skill-Builder Exercise 3.2 -- Bernoulli Distribution -- Binomial Distribution -- Poisson Distribution -- Skill-Builder Exercise 3.3 -- Continuous Probability Distributions -- Uniform Distribution -- Normal Distribution -- Skill-Builder Exercise 3.4 -- Triangular Distribution -- Exponential Distribution -- Probability Distributions in PHStat -- Other Useful Distributions -- Joint and Marginal Probability Distributions -- Basic Concepts Review Questions -- Problems and Applications -- Case: Probability Analysis for Quality Measurements -- Chapter 4 SAMPLING AND ESTIMATION -- Introduction -- Statistical Sampling -- Sample Design -- Sampling Methods -- Errors in Sampling -- Random Sampling From Probability Distributions -- Sampling From Discrete Probability Distributions -- Skill‐Builder Exercise 4.1 -- Sampling From Common Probability Distributions -- A Statistical Sampling Experiment in Finance -- Skill-Builder Exercise 4.2 -- Sampling Distributions and Sampling Error -- Skill-Builder Exercise 4.3 -- Applying the Sampling Distribution of the Mean -- Sampling and Estimation -- Point Estimates -- Unbiased Estimators -- Skill-Builder Exercise 4.4 -- Interval Estimates -- Confidence Intervals: Concepts and Applications -- Confidence Interval for the Mean with Known Population Standard Deviation -- Skill-Builder Exercise 4.5. Confidence Interval for the Mean with Unknown Population Standard Deviation -- Confidence Interval for a Proportion -- Confidence Intervals for the Variance and Standard Deviation -- Confidence Interval for a Population Total -- Using Confidence Intervals for Decision Making -- Confidence Intervals and Sample Size -- Prediction Intervals -- Additional Types of Confidence Intervals -- Differences Between Means, Independent Samples -- Differences Between Means, Paired Samples -- Differences Between Proportions -- Basic Concepts Review Questions -- Problems and Applications -- Case: Analyzing a Customer Survey -- Skill-Builder Exercise 4.6 -- Skill-Builder Exercise 4.7 -- Skill-Builder Exercise 4.8 -- Skill-Builder Exercise 4.9 -- Chapter 5 HYPOTHESIS TESTING AND STATISTICAL INFERENCE -- Introduction -- Basic Concepts of Hypothesis Testing -- Hypothesis Formulation -- Significance Level -- Decision Rules -- Spreadsheet Support for Hypothesis Testing -- One-Sample Hypothesis Tests -- One-Sample Tests for Means -- Using p-Values -- One-Sample Tests for Proportions -- One Sample Test for the Variance -- Type II Errors and the Power of A Test -- Skill-Builder Exercise 5.1 -- Two-Sample Hypothesis Tests -- Two-Sample Tests for Means -- Two-Sample Test for Means with Paired Samples -- Two-Sample Tests for Proportions -- Hypothesis Tests and Confidence Intervals -- Test for Equality of Variances -- Skill-Builder Exercise 5.2 -- Anova: Testing Differences of Several Means -- Assumptions of ANOVA -- Tukey-Kramer Multiple Comparison Procedure -- Chi-Square Test for Independence -- Skill-Builder Exercise 5.3 -- Basic Concepts Review Questions -- Problems and Applications -- Case: HATCO, Inc. -- Skill-Builder Exercise 5.4 -- Chapter 6 REGRESSION ANALYSIS -- Introduction -- Simple Linear Regression -- Skill-Builder Exercise 6.1 -- Least-Squares Regression. Skill-Builder Exercise 6.2 -- A Practical Application of Simple Regression to Investment Risk -- Simple Linear Regression in Excel -- Skill-Builder Exercise 6.3 -- Regression Statistics -- Regression as Analysis of Variance -- Testing Hypotheses for Regression Coefficients -- Confidence Intervals for Regression Coefficients -- Confidence and Prediction Intervals for X-Values -- Residual Analysis and Regression Assumptions -- Standard Residuals -- Skill‐Builder Exercise 6.4 -- Checking Assumptions -- Multiple Linear Regression -- Skill‐Builder Exercise 6.5 -- Interpreting Results from Multiple Linear Regression -- Correlation and Multicollinearity -- Building Good Regression Models -- Stepwise Regression -- Skill-Builder Exercise 6.6 -- Best-Subsets Regression -- The Art of Model Building in Regression -- Regression with Categorical Independent Variables -- Categorical Variables with More Than Two Levels -- Skill-Builder Exercise 6.7 -- Regression Models with Nonlinear Terms -- Skill-Builder Exercise 6.8 -- Basic Concepts Review Questions -- Problems and Applications -- Case: Hatco -- Chapter 7 FORECASTING -- Introduction -- Qualitative and Judgmental Methods -- Historical Analogy -- The Delphi Method -- Indicators and Indexes for Forecasting -- Statistical Forecasting Models -- Forecasting Models for Stationary Time Series -- Moving Average Models -- Error Metrics and Forecast Accuracy -- Skill-Builder Exercise 7.1 -- Exponential Smoothing Models -- Skill-Builder Exercise 7.2 -- Forecasting Models for Time Series with a Linear Trend -- Regression-Based Forecasting -- Advanced Forecasting Models -- Autoregressive Forecasting Models -- Skill-Builder Exercise 7.3 -- Forecasting Models with Seasonality -- Incorporating Seasonality in Regression Models -- Skill-Builder Exercise 7.4 -- Forecasting Models with Trend and Seasonality. Regression Forecasting with Causal Variables -- Choosing and Optimizing Forecasting Models Using CB Predictor -- Skill-Builder Exercise 7.5 -- The Practice of Forecasting -- Basic Concepts Review Questions -- Problems and Applications -- Case: Energy Forecasting -- Chapter 8 INTRODUCTION TO STATISTICAL QUALITY CONTROL -- Introduction -- The Role of Statistics and Data Analysis in Quality Control -- Statistical Process Control -- Control Charts -- x- and R-Charts -- Skill-Builder Exercise 8.1 -- Analyzing Control Charts -- Sudden Shift in the Process Average -- Cycles -- Trends -- Hugging the Center Line -- Hugging the Control Limits -- Skill-Builder Exercise 8.2 -- Skill-Builder Exercise 8.3 -- Control Charts for Attributes -- Variable Sample Size -- Skill-Builder Exercise 8.4 -- Process Capability Analysis -- Skill-Builder Exercise 8.5 -- Basic Concepts Review Questions -- Problems and Applications -- Case: Quality Control Analysis -- Part II: Decision Modeling and Analysis -- Chapter 9 BUILDING AND USING DECISION MODELS -- Introduction -- Decision Models -- Model Analysis -- What-If Analysis -- Skill-Builder Exercise 9.1 -- Skill-Builder Exercise 9.2 -- Skill-Builder Exercise 9.3 -- Model Optimization -- Tools for Model Building -- Logic and Business Principles -- Skill-Builder Exercise 9.4 -- Common Mathematical Functions -- Data Fitting -- Skill-Builder Exercise 9.5 -- Spreadsheet Engineering -- Skill-Builder Exercise 9.6 -- Spreadsheet Modeling Examples -- New Product Development -- Skill-Builder Exercise 9.7 -- Single Period Purchase Decisions -- Overbooking Decisions -- Project Management -- Model Assumptions, Complexity, and Realism -- Skill-Builder Exercise 9.8 -- Basic Concepts Review Questions -- Problems and Applications -- Case: An Inventory Management Decision Model -- Chapter 10 DECISION MODELS WITH UNCERTAINTY AND RISK -- Introduction. Spreadsheet Models with Random Variables. |
| Record Nr. | UNINA-9910150216403321 |
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Evans James R.
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| Boston : , : Pearson, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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