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Recent advances in robust statistics: theory and applications [[electronic resource] /] / edited by Claudio Agostinelli, Ayanendranath Basu, Peter Filzmoser, Diganta Mukherjee
| Recent advances in robust statistics: theory and applications [[electronic resource] /] / edited by Claudio Agostinelli, Ayanendranath Basu, Peter Filzmoser, Diganta Mukherjee |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | New Delhi : , : Springer India : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (X, 201 p. 31 illus.) |
| Disciplina | 330.015195 |
| Soggetto topico |
Statistics
Biostatistics Statistics for Business, Management, Economics, Finance, Insurance Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics for Life Sciences, Medicine, Health Sciences Statistics for Social Sciences, Humanities, Law Statistics and Computing/Statistics Programs |
| ISBN | 81-322-3643-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910150532003321 |
| New Delhi : , : Springer India : , : Imprint : Springer, , 2016 | ||
| 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 |
Evans James R.
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| Boston : , : Pearson, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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