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The advanced theory of statistics / Maurice G. Kendall and Alan Stuart
| The advanced theory of statistics / Maurice G. Kendall and Alan Stuart |
| Autore | Kendall, Maurice G. |
| Edizione | [3rd ed] |
| Pubbl/distr/stampa | London : Griffin, 1967-69 |
| Descrizione fisica | 3 v. ; 26 cm. |
| Disciplina | 519.5 |
| Altri autori (Persone) | Stuart, Alanauthor |
| Soggetto topico |
Distribution theory
Mathematical statistics Statistics |
| ISBN |
0852640692 (v.3)
0852641419 (v.1) 0852642156 (v.2) |
| Classificazione |
AMS 62-02
AMS 62-XX AMS 62E |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991000647059707536 |
Kendall, Maurice G.
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| London : Griffin, 1967-69 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data [[electronic resource] ] : Proceedings of the 2015 International Symposium in Statistics / / edited by Brajendra C. Sutradhar
| Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data [[electronic resource] ] : Proceedings of the 2015 International Symposium in Statistics / / edited by Brajendra C. Sutradhar |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIX, 256 p. 12 illus., 6 illus. in color.) |
| Disciplina | 519.5 |
| Collana | Lecture Notes in Statistics - Proceedings |
| Soggetto topico |
Statistics
Statistical Theory and Methods Statistics and Computing/Statistics Programs |
| ISBN | 3-319-31260-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910254077003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances and Innovations in Statistics and Data Science [[electronic resource] /] / edited by Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin
| Advances and Innovations in Statistics and Data Science [[electronic resource] /] / edited by Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (338 pages) |
| Disciplina | 519.5 |
| Collana | ICSA Book Series in Statistics |
| Soggetto topico |
Biometry
Statistics Artificial intelligence - Data processing Machine learning Biostatistics Applied Statistics Data Science Machine Learning Estadística matemàtica Processament de dades |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-031-08329-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. MiRNA-Gene Activity Interaction Networks (miGAIn): Integrated joint models of miRNA-gene targeting and disturbance in signal processing -- 2. Feature Screening for Ultrahigh-Dimensional Regression with Error-Prone Varables -- 3. Cosine Distribution in the Post-selection Inference of Least Angle Regression -- 4. Learning Finite Gaussian Mixture via Wasserstein Distance -- 5. An Entropy-based Method with Word Embedding Clustering for Comment Ranking -- 6. Estimation in Functional Linear Model with Incomplete Functional Observations -- 7. A Flexible Linear Single Index Proportional Hazards Regression Model for Multivariate Survival Data -- 8. Efficient Estimation of Semiparametric Linear Transformation Model with Left-Truncated and Current Status Data -- 9. Flexible Transformations for Modeling Compositional Data -- 10. Identifiability and Estimation of Autoregressive ARCH Models with Measurement Error -- 11. Modal Regression for Skewed, Truncated, or Contaminated Data with Outliers -- 12. Spatial Multilevel Modeling in the Galveston Bay Recovery Study Survey -- 13. Efficient Experimental Design for Regularized Linear Models -- 14. A Selective Overview of Statistical Models for Identification of Treatment-sensitive Subset -- 15. Analysis of Discrete Compositional Series While Accounting for Informative Time-dependent Cluster Sizes with Application to Air Pollution Related Emergency Room Visits. |
| Record Nr. | UNINA-9910624380703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances and Innovations in Statistics and Data Science [[electronic resource] /] / edited by Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin
| Advances and Innovations in Statistics and Data Science [[electronic resource] /] / edited by Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (338 pages) |
| Disciplina | 519.5 |
| Collana | ICSA Book Series in Statistics |
| Soggetto topico |
Biometry
Statistics Artificial intelligence - Data processing Machine learning Biostatistics Applied Statistics Data Science Machine Learning Estadística matemàtica Processament de dades |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-031-08329-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. MiRNA-Gene Activity Interaction Networks (miGAIn): Integrated joint models of miRNA-gene targeting and disturbance in signal processing -- 2. Feature Screening for Ultrahigh-Dimensional Regression with Error-Prone Varables -- 3. Cosine Distribution in the Post-selection Inference of Least Angle Regression -- 4. Learning Finite Gaussian Mixture via Wasserstein Distance -- 5. An Entropy-based Method with Word Embedding Clustering for Comment Ranking -- 6. Estimation in Functional Linear Model with Incomplete Functional Observations -- 7. A Flexible Linear Single Index Proportional Hazards Regression Model for Multivariate Survival Data -- 8. Efficient Estimation of Semiparametric Linear Transformation Model with Left-Truncated and Current Status Data -- 9. Flexible Transformations for Modeling Compositional Data -- 10. Identifiability and Estimation of Autoregressive ARCH Models with Measurement Error -- 11. Modal Regression for Skewed, Truncated, or Contaminated Data with Outliers -- 12. Spatial Multilevel Modeling in the Galveston Bay Recovery Study Survey -- 13. Efficient Experimental Design for Regularized Linear Models -- 14. A Selective Overview of Statistical Models for Identification of Treatment-sensitive Subset -- 15. Analysis of Discrete Compositional Series While Accounting for Informative Time-dependent Cluster Sizes with Application to Air Pollution Related Emergency Room Visits. |
| Record Nr. | UNISA-996495167803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advances in Analytics and Applications [[electronic resource] /] / edited by Arnab Kumar Laha
| Advances in Analytics and Applications [[electronic resource] /] / edited by Arnab Kumar Laha |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (289 pages) |
| Disciplina | 519.5 |
| Collana | Springer Proceedings in Business and Economics |
| Soggetto topico |
Big data
Business enterprises-Finance Management Big Data/Analytics Business Finance |
| ISBN | 981-13-1208-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Overviews -- Chapter 1. Machine Learning -- Chapter 2. Regression Methods -- Chapter 3. Functional Data Analysis -- Chapter 4. Directional Data Analysis -- Chapter 5.Branching Processes -- Part II: Predictive Analysis Applications -- Chapter 6. Click-Through Rate Estimation using CHAID Classification Tree Model -- Chapter 7 . Predicting Success Probability in Professional Tennis Tournaments: Using a Logistic Regression Model -- Chapter 8. Hausdorff Path Clustering and Hidden Markov Model Applied to Person Movement Prediction in Retail Spaces -- Chapter 9. Improving Email Marketing Campaign Success Rate Using Personalization -- etc. |
| Record Nr. | UNINA-9910350214203321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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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Advances in Complex Data Modeling and Computational Methods in Statistics [[electronic resource] /] / edited by Anna Maria Paganoni, Piercesare Secchi
| Advances in Complex Data Modeling and Computational Methods in Statistics [[electronic resource] /] / edited by Anna Maria Paganoni, Piercesare Secchi |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (210 p.) |
| Disciplina |
005.1
519 519.5 570.15195 620 |
| Collana | Contributions to Statistics |
| Soggetto topico |
Statistics
Applied mathematics Engineering mathematics Biostatistics Computational complexity Software engineering Statistical Theory and Methods Applications of Mathematics Complexity Software Engineering/Programming and Operating Systems |
| ISBN | 3-319-11149-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Antonino Abbruzzo, Angelo M. Mineo: Inferring networks from high-dimensional data with mixed variables -- 2 Federico Andreis, Fulvia Mecatti: Rounding Non-integer Weights in Bootstrapping Non-iid Samples: actual problem or harmless practice? -- 3 Marika Arena, Giovanni Azzone, Antonio Conte, Piercesare Secchi, Simone Vantini: Measuring downsize reputational risk in the Oil & Gas industry -- 4 Laura Azzimonti, Marzia A. Cremona, Andrea Ghiglietti, Francesca Ieva, Alessandra Menafoglio, Alessia Pini, Paolo Zanini: BARCAMP Technology Foresight and Statistics for the Future -- 5 Francesca Chiaromonte, Kateryna D. Makova: Using statistics to shed light on the dynamics of the human genome: A review -- 6 Nader Ebrahimi, Ehsan S. Soofi and Refik Soyer: Information Theory and Bayesian Reliability Analysis: Recent Advances -- 7 Stephan F. Huckemann: (Semi-) Intrinsic Statistical Analysis on non-Euclidean Spaces -- 8 John T. Kent: An investigation of projective shape space -- 9 Fabio Manfredini, Paola Pucci, Piercesare Secchi, Paolo Tagliolato, Simone Vantini, Valeria Vitelli: Treelet Decomposition of Mobile Phone Data for Deriving City Usage and Mobility Pattern in the Milan Urban Region -- 10 Cristina Mazzali, Mauro Maistriello, Francesca Ieva, Pietro Barbieri: Methodological issues in the use of administrative databases to study heart failure -- 11 Andrea Mercatant: Bayesian inference for randomized experiments with noncompliance and nonignorable missing data -- 12 Antonio Pulcini, Brunero Liseo: Approximate Bayesian Quantile Regression for Panel Data -- 13 Laura M. Sangalli: Estimating surfaces and spatial fields via regression models with differential regularization. . |
| Record Nr. | UNINA-9910299763803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in compositional data analysis : festschrift in honour of Vera Pawlowsky-Glahn / / Peter Filzmoser, Karel Hron, Josep Antoni Martín-Fernández, Javier Palarea-Albaladejo, editors
| Advances in compositional data analysis : festschrift in honour of Vera Pawlowsky-Glahn / / Peter Filzmoser, Karel Hron, Josep Antoni Martín-Fernández, Javier Palarea-Albaladejo, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XVIII, 404 p. 113 illus., 91 illus. in color.) |
| Disciplina | 519.5 |
| Altri autori (Persone) | Pawlowsky-GlahnVera |
| Soggetto topico |
Estadística matemàtica
Investigació quantitativa Mathematical statistics Quantitative research |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-71175-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- J.J. Egozcue and W.L. Maldonado: An interpretable orthogonal decomposition of positive square matrices -- Part I Fundamentals -- I. Erb and N. Ay: The information-geometric perspective of compositional data analysis -- D.R. Lovell: Log-ratio analysis of finite precision data: caveats, and connections to digital lines and number theory -- G. Mateu-Figueras, G.S. Monti and J.J. Egozcue: Distributions on the simplex revisited -- J. Graffelman: Compositional biplots: a story of false leads and hidden features revealed by the last dimensions -- Part II Statistical Methodology -- K. Fačevicová, P. Kynčlová and K. Macků: Geographically weighted regression analysis for two-factorial compositional data -- C. Barceló-Vidal and J.A. Martín-Fernández: Factor analysis of compositional data with a total -- M. Gallo, V. Simonacci and V. Todorov: A compositional three-way approach for student satisfaction analysis -- M. Templ: Artificial neural networks to impute rounded zeros in compositional data -- E. Saus–Sala, À. Farreras–Noguer, N. Arimany–Serrat, and G. Coenders: Compositional du pont analysis. A visual tool for strategic financial performance assessment -- A. Menafoglio: Spatial statistics for distributional data in Bayes spaces: from object-oriented kriging to the analysis of warping functions -- C. Thomas-Agnan, T. Laurent, A. Ruiz-Gazen, N. Thi Huong An, R. Chakir and A. Lungarska: Spatial simultaneous autoregressive models for compositional data: application to land use -- Part III Applications -- A. Buccianti, C. Gozzi: The whole versus the parts: the challenge of compositional data analysis (CoDA) methods for geochemistry -- M.A. Engle and J.A. Chaput: Groundwater origin determination in historic chemical datasets through supervised compositional data analysis: Brines of the Permian Basin, USA -- J.M. McKinley, U. Mueller, P.M. Atkinson, U. Ofterdinger, S.F. Cox, R. Doherty, D. Fogarty and J.J. Egozcue -- Chronic kidney disease of uncertain aetiology and its relation with waterborne environmental toxins: An investigation via compositional balances -- R.A. Olea, J.A. Martín-Fernández and W.H. Craddock: Multivariate classification of the crude oil petroleum systems in southeast Texas, USA, using conventional and compositional data analysis of biomarkers -- J.R. Wu, J.M. Macklaim, B.L. Genge and G.B. Gloor: Finding the centre: compositional asymmetry in high-throughput sequencing datasets -- L. Huang and H. Li: Bayesian balance-regression in microbiome studies using stochastic search -- D.E. McGregor, P.M. Dall, J. Palarea-Albaladejo and S.F.M. Chastin: Compositional data analysis in physical activity and health research. Looking for the right balance -- D. Dumuid, Ž. Pedišić, J. Palarea-Albaladejo, J.A. Martín-Fernández, K. Hron and T. Olds: Compositional data analysis in time-use epidemiology. |
| Record Nr. | UNISA-996466397003316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advances in compositional data analysis : festschrift in honour of Vera Pawlowsky-Glahn / / Peter Filzmoser, Karel Hron, Josep Antoni Martín-Fernández, Javier Palarea-Albaladejo, editors
| Advances in compositional data analysis : festschrift in honour of Vera Pawlowsky-Glahn / / Peter Filzmoser, Karel Hron, Josep Antoni Martín-Fernández, Javier Palarea-Albaladejo, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XVIII, 404 p. 113 illus., 91 illus. in color.) |
| Disciplina | 519.5 |
| Altri autori (Persone) | Pawlowsky-GlahnVera |
| Soggetto topico |
Estadística matemàtica
Investigació quantitativa Mathematical statistics Quantitative research |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-71175-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- J.J. Egozcue and W.L. Maldonado: An interpretable orthogonal decomposition of positive square matrices -- Part I Fundamentals -- I. Erb and N. Ay: The information-geometric perspective of compositional data analysis -- D.R. Lovell: Log-ratio analysis of finite precision data: caveats, and connections to digital lines and number theory -- G. Mateu-Figueras, G.S. Monti and J.J. Egozcue: Distributions on the simplex revisited -- J. Graffelman: Compositional biplots: a story of false leads and hidden features revealed by the last dimensions -- Part II Statistical Methodology -- K. Fačevicová, P. Kynčlová and K. Macků: Geographically weighted regression analysis for two-factorial compositional data -- C. Barceló-Vidal and J.A. Martín-Fernández: Factor analysis of compositional data with a total -- M. Gallo, V. Simonacci and V. Todorov: A compositional three-way approach for student satisfaction analysis -- M. Templ: Artificial neural networks to impute rounded zeros in compositional data -- E. Saus–Sala, À. Farreras–Noguer, N. Arimany–Serrat, and G. Coenders: Compositional du pont analysis. A visual tool for strategic financial performance assessment -- A. Menafoglio: Spatial statistics for distributional data in Bayes spaces: from object-oriented kriging to the analysis of warping functions -- C. Thomas-Agnan, T. Laurent, A. Ruiz-Gazen, N. Thi Huong An, R. Chakir and A. Lungarska: Spatial simultaneous autoregressive models for compositional data: application to land use -- Part III Applications -- A. Buccianti, C. Gozzi: The whole versus the parts: the challenge of compositional data analysis (CoDA) methods for geochemistry -- M.A. Engle and J.A. Chaput: Groundwater origin determination in historic chemical datasets through supervised compositional data analysis: Brines of the Permian Basin, USA -- J.M. McKinley, U. Mueller, P.M. Atkinson, U. Ofterdinger, S.F. Cox, R. Doherty, D. Fogarty and J.J. Egozcue -- Chronic kidney disease of uncertain aetiology and its relation with waterborne environmental toxins: An investigation via compositional balances -- R.A. Olea, J.A. Martín-Fernández and W.H. Craddock: Multivariate classification of the crude oil petroleum systems in southeast Texas, USA, using conventional and compositional data analysis of biomarkers -- J.R. Wu, J.M. Macklaim, B.L. Genge and G.B. Gloor: Finding the centre: compositional asymmetry in high-throughput sequencing datasets -- L. Huang and H. Li: Bayesian balance-regression in microbiome studies using stochastic search -- D.E. McGregor, P.M. Dall, J. Palarea-Albaladejo and S.F.M. Chastin: Compositional data analysis in physical activity and health research. Looking for the right balance -- D. Dumuid, Ž. Pedišić, J. Palarea-Albaladejo, J.A. Martín-Fernández, K. Hron and T. Olds: Compositional data analysis in time-use epidemiology. |
| Record Nr. | UNINA-9910484712403321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in contemporary statistics and econometrics : festschrift in honor of Christine Thomas-Agnan / Abdelaati Daouia / Anne Ruiz-Gazen
| Advances in contemporary statistics and econometrics : festschrift in honor of Christine Thomas-Agnan / Abdelaati Daouia / Anne Ruiz-Gazen |
| Autore | Daouia, Abdelaati |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2021 |
| Descrizione fisica | XXIII, 710 p. : ill. ; 24 cm |
| Disciplina | 519.5 |
| Altri autori (Persone) | Ruiz-Gazen, Anne |
| Soggetto non controllato | Statistica - Matematica |
| ISBN | 978-3-030-73248-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNIPARTHENOPE-000034440 |
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Daouia, Abdelaati
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| Cham, : Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Parthenope | ||
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