Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Beyond beta [[electronic resource] ] : other continuous families of distributions with bounded support and applications / / Samuel Kotz, Johan Rene van Dorp
| Beyond beta [[electronic resource] ] : other continuous families of distributions with bounded support and applications / / Samuel Kotz, Johan Rene van Dorp |
| Autore | Kotz Samuel |
| Pubbl/distr/stampa | Singapore ; ; London, : World Scientific, c2004 |
| Descrizione fisica | 1 online resource (307 p.) |
| Disciplina |
515.782
519.5 |
| Altri autori (Persone) | Van DorpJohan René |
| Soggetto topico |
Theory of distributions (Functional analysis)
Multivariate analysis |
| ISBN |
1-281-89702-7
9786611897024 981-270-128-1 |
| Classificazione | 31.73 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contents; Chapter 1 The Triangular Distribution; Chapter 2 Some Early Extensions of the Triangular Distribution; Chapter 3 The Standard Two-Sided Power Distribution; Chapter 4 The Two-Sided Power Distribution; Chapter 5 The Generalized Trapezoidal Distribution; Chapter 6 Uneven Two-Sided Power Distributions; Chapter 7 The Reflected Generalized Topp and Leone Distribution; Chapter 8 A Generalized Framework for Two-Sided Distributions; Epilogue; Appendix A Graphical Overview of Continuous Univariate Families of Distributions possessing a Bounded Domain
Appendix B The Johnson SB DistributionBibliography; Author Index; Subject Index |
| Record Nr. | UNINA-9910783919003321 |
Kotz Samuel
|
||
| Singapore ; ; London, : World Scientific, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Beyond beta [[electronic resource] ] : other continuous families of distributions with bounded support and applications / / Samuel Kotz, Johan Rene van Dorp
| Beyond beta [[electronic resource] ] : other continuous families of distributions with bounded support and applications / / Samuel Kotz, Johan Rene van Dorp |
| Autore | Kotz Samuel |
| Pubbl/distr/stampa | Singapore ; ; London, : World Scientific, c2004 |
| Descrizione fisica | 1 online resource (307 p.) |
| Disciplina |
515.782
519.5 |
| Altri autori (Persone) | Van DorpJohan René |
| Soggetto topico |
Theory of distributions (Functional analysis)
Multivariate analysis |
| ISBN |
1-281-89702-7
9786611897024 981-270-128-1 |
| Classificazione | 31.73 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contents; Chapter 1 The Triangular Distribution; Chapter 2 Some Early Extensions of the Triangular Distribution; Chapter 3 The Standard Two-Sided Power Distribution; Chapter 4 The Two-Sided Power Distribution; Chapter 5 The Generalized Trapezoidal Distribution; Chapter 6 Uneven Two-Sided Power Distributions; Chapter 7 The Reflected Generalized Topp and Leone Distribution; Chapter 8 A Generalized Framework for Two-Sided Distributions; Epilogue; Appendix A Graphical Overview of Continuous Univariate Families of Distributions possessing a Bounded Domain
Appendix B The Johnson SB DistributionBibliography; Author Index; Subject Index |
| Record Nr. | UNINA-9910828691903321 |
|
Kotz Samuel
|
||
| Singapore ; ; London, : World Scientific, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Beyond beta : other continuous families of distributions with bounded support and applications / Samuel Kotz, Johan Renþe van Dorp
| Beyond beta : other continuous families of distributions with bounded support and applications / Samuel Kotz, Johan Renþe van Dorp |
| Autore | Kotz, Samuel |
| Pubbl/distr/stampa | Singapore : World Scientific, c2004 |
| Descrizione fisica | xvi, 289 p. : ill. ; 24 cm |
| Disciplina | 519.2 |
| Altri autori (Persone) | Van Dorp, Johan René |
| Soggetto topico |
Theory of distributions (Functional analysis)
Multivariate analysis |
| ISBN | 9812561153 |
| Classificazione |
AMS 60E
LC QA324.K68 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991000940059707536 |
|
Kotz, Samuel
|
||
| Singapore : World Scientific, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
| ||
Les Cahiers de l'analyse des données
| Les Cahiers de l'analyse des données |
| Pubbl/distr/stampa | Paris, : Dunod |
| Descrizione fisica | 1 online resource |
| Soggetto topico |
Statistics
Multivariate analysis Analyse multivariée Informatique |
| Soggetto genere / forma | Periodicals. |
| ISSN | 2400-4804 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | fre |
| Altri titoli varianti | Analyse des données |
| Record Nr. | UNINA-9910311858903321 |
| Paris, : Dunod | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Caratterizzazione multivariata delle magre del Po. Tesi di laurea in statistica / laureanda Sara Macchia ; relatore Gianfausto Salvadori ; correlatore Carlo De Michele
| Caratterizzazione multivariata delle magre del Po. Tesi di laurea in statistica / laureanda Sara Macchia ; relatore Gianfausto Salvadori ; correlatore Carlo De Michele |
| Autore | Macchia, Sara |
| Pubbl/distr/stampa | Lecce : Università del Salento. Facoltà di Scienze MM. FF. NN. Corso di Laurea Specialistica in Matematica, a.a. 2012-13 |
| Descrizione fisica | 118 p. ; 30 cm |
| Altri autori (Persone) |
Salvadori, Gianfausto
De Michele, Carlo |
| Soggetto topico |
Nonparametric inference
Multivariate analysis |
| Classificazione |
AMS 62G05
AMS 62H12 AMS 62H15 AMS 62P12 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNISALENTO-991002538829707536 |
|
Macchia, Sara
|
||
| Lecce : Università del Salento. Facoltà di Scienze MM. FF. NN. Corso di Laurea Specialistica in Matematica, a.a. 2012-13 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
| ||
Categorical data analysis / / Alan Agresti
| Categorical data analysis / / Alan Agresti |
| Autore | Agresti Alan |
| Edizione | [3rd ed.] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley-Interscience, , 2013 |
| Descrizione fisica | 1 online resource (1581 p.) |
| Disciplina | 519.5/35 |
| Collana | Wiley Series in Probability and Statistics |
| Soggetto topico | Multivariate analysis |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-118-71085-1
1-118-71094-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Half Title page; Title page; Copyright page; Dedication; Preface; Chapter 1: Introduction: Distributions and Inference for Categorical Data; 1.1 Categorical Response Data; 1.2 Distributions for Categorical Data; 1.3 Statistical Inference for Categorical Data; 1.4 Statistical Inference for Binomial Parameters; 1.5 Statistical Inference for Multinomial Parameters; 1.6 Bayesian Inference for Binomial and Multinomial Parameters; Notes; Exercises; Chapter 2: Describing Contingency Tables; 2.1 Probability Structure for Contingency Tables; 2.2 Comparing Two Proportions
Chapter 4: Introduction to Generalized Linear Models4.1 The Generalized Linear Model; 4.2 Generalized Linear Models for Binary Data; 4.3 Generalized Linear Models for Counts and Rates; 4.4 Moments and Likelihood for Generalized Linear Models; 4.5 Inference and Model Checking for Generalized Linear Models; 4.6 Fitting Generalized Linear Models; 4.7 Quasi-Likelihood and Generalized Linear Models; Notes; Exercises; Chapter 5: Logistic Regression; 5.1 Interpreting Parameters in Logistic Regression; 5.2 Inference for Logistic Regression; 5.3 Logistic Models with Categorical Predictors Chapter 9: Loglinear Models for Contingency Tables |
| Record Nr. | UNINA-9910463113103321 |
|
Agresti Alan
|
||
| Hoboken, New Jersey : , : Wiley-Interscience, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Categorical data analysis / / Alan Agresti
| Categorical data analysis / / Alan Agresti |
| Autore | Agresti Alan |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley-Interscience, , 2013 |
| Descrizione fisica | 1 online resource (742 pages) : illustrations, tables |
| Disciplina | 519.5/35 |
| Collana | Wiley Series in Probability and Statistics |
| Soggetto topico | Multivariate analysis |
| ISBN |
9781118710944
1118710940 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910796082003321 |
|
Agresti Alan
|
||
| Hoboken, New Jersey : , : Wiley-Interscience, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Categorical data analysis / / Alan Agresti
| Categorical data analysis / / Alan Agresti |
| Autore | Agresti Alan |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley-Interscience, , 2013 |
| Descrizione fisica | 1 online resource (742 pages) : illustrations, tables |
| Disciplina | 519.5/35 |
| Collana | Wiley Series in Probability and Statistics |
| Soggetto topico | Multivariate analysis |
| ISBN |
9781118710944
1118710940 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910822461403321 |
|
Agresti Alan
|
||
| Hoboken, New Jersey : , : Wiley-Interscience, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Categorical data analysis / / Alan Agresti
| Categorical data analysis / / Alan Agresti |
| Autore | Agresti Alan |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley-Interscience, , 2002 |
| Descrizione fisica | 1 online resource (736 p.) |
| Disciplina | 519.5/35 |
| Collana | Wiley Series in Probability and Statistics |
| Soggetto topico | Multivariate analysis |
| ISBN |
1-280-36629-X
9786610366293 0-471-45876-7 0-471-24968-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Categorical Data Analysis; Contents; Preface; 1. Introduction: Distributions and Inference for Categorical Data; 2. Describing Contingency Tables; 3. Inference for Contingency Tables; 4. Introduction to Generalized Linear Models; 5. Logistic Regression; 6. Building and Applying Logistic Regression Models; 7. Logit Models for Multinomial Responses; 8. Loglinear Models for Contingency Tables; 9. Building and Extending Loglinear/Logit Models; 10. Models for Matched Pairs; 11. Analyzing Repeated Categorical Response Data
12. Random Effects: Generalized Linear Mixed Models for Categorical Responses13. Other Mixture Models for Categorical Data*; 14. Asymptotic Theory for Parametric Models; 15. Alternative Estimation Theory for Parametric Models; 16. Historical Tour of Categorical Data Analysis*; Appendix A. Using Computer Software to Analyze Categorical Data; Appendix B. Chi-Squared Distribution Values; References; Examples Index; Author Index; Subject Index |
| Record Nr. | UNINA-9910143189203321 |
|
Agresti Alan
|
||
| Hoboken, New Jersey : , : Wiley-Interscience, , 2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Categorical Data Analysis by Example
| Categorical Data Analysis by Example |
| Autore | Upton Graham J. G |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2016 |
| Descrizione fisica | 1 online resource (215 pages) |
| Disciplina | 519.535 |
| Soggetto topico | Multivariate analysis |
| Soggetto genere / forma | Electronic books. |
| ISBN |
9781119307914
9781119307860 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- CATEGORICAL DATA ANALYSIS BY EXAMPLE -- Contents -- Preface -- Acknowledgments -- 1 Introduction -- 1.1 What are Categorical Data? -- 1.2 A Typical Data Set -- 1.3 Visualization and Cross-Tabulation -- 1.4 Samples, Populations, and Random Variation -- 1.5 Proportion, Probability, and Conditional Probability -- 1.6 Probability Distributions -- 1.6.1 The Binomial Distribution -- 1.6.2 The Multinomial Distribution -- 1.6.3 The Poisson Distribution -- 1.6.4 The Normal Distribution -- 1.6.5 The Chi-Squared ( 2) Distribution -- 1.7 *The Likelihood -- 2 Estimation and Inference for Categorical Data -- 2.1 Goodness of Fit -- 2.1.1 Pearson's X2 Goodness-of-Fit Statistic -- 2.1.2 *The Link between X2 and the Poisson and 2-Distributions -- 2.1.3 The Likelihood-Ratio Goodness-of-Fit Statistic, G2 -- 2.1.4 *Why the G2 and X2 Statistics Usually have Similar Values -- 2.2 Hypothesis Tests for a Binomial Proportion (Large Sample) -- 2.2.1 The Normal Score Test -- 2.2.2 *Link to Pearson's X2 Goodness-of-Fit Test -- 2.2.3 G2 for a Binomial Proportion -- 2.3 Hypothesis Tests for a Binomial Proportion (Small Sample) -- 2.3.1 One-Tailed Hypothesis Test -- 2.3.2 Two-Tailed Hypothesis Tests -- 2.4 Interval Estimates for a Binomial Proportion -- 2.4.1 Laplace's Method -- 2.4.2 Wilson's Method -- 2.4.3 The Agresti-Coull Method -- 2.4.4 Small Samples and Exact Calculations -- References -- 3 The 2 × 2 Contingency Table -- 3.1 Introduction -- 3.2 Fisher's Exact Test (for Independence) -- 3.2.1 *Derivation of the Exact Test Formula -- 3.3 Testing Independence with Large Cell Frequencies -- 3.3.1 Using Pearson's Goodness-of-Fit Test -- 3.3.2 The Yates Correction -- 3.4 The 2 × 2 Table in a Medical Context -- 3.5 Measuring Lack of Independence (Comparing Proportions) -- 3.5.1 Difference of Proportions -- 3.5.2 Relative Risk -- 3.5.3 Odds-Ratio -- References.
4 The I × J Contingency Table -- 4.1 Notation -- 4.2 Independence in the I × J Contingency Table -- 4.2.1 Estimation and Degrees of Freedom -- 4.2.2 Odds-Ratios and Independence -- 4.2.3 Goodness of Fit and Lack of Fit of the Independence Model -- 4.3 Partitioning -- 4.3.1 *Additivity of G2 -- 4.3.2 Rules for Partitioning -- 4.4 Graphical Displays -- 4.4.1 Mosaic Plots -- 4.4.2 Cobweb Diagrams -- 4.5 Testing Independence with Ordinal Variables -- References -- 5 The Exponential Family -- 5.1 Introduction -- 5.2 The Exponential Family -- 5.2.1 The Exponential Dispersion Family -- 5.3 Components of a General Linear Model -- 5.4 Estimation -- References -- 6 A Model Taxonomy -- 6.1 Underlying Questions -- 6.1.1 Which Variables are of Interest? -- 6.1.2 What Categories should be Used? -- 6.1.3 What is the Type of Each Variable? -- 6.1.4 What is the Nature of Each Variable? -- 6.2 Identifying the Type of Model -- 7 The 2 × J Contingency Table -- 7.1 A Problem with X2 (and G2) -- 7.2 Using the Logit -- 7.2.1 Estimation of the Logit -- 7.2.2 The Null Model -- 7.3 Individual Data and Grouped Data -- 7.4 Precision, Confidence Intervals, and Prediction Intervals -- 7.4.1 Prediction Intervals -- 7.5 Logistic Regression with a Categorical Explanatory Variable -- 7.5.1 Parameter Estimates with Categorical Variables (J > -- 2) -- 7.5.2 The Dummy Variable Representation of a Categorical Variable -- References -- 8 Logistic Regression with Several Explanatory Variables -- 8.1 Degrees of Freedom when there are no Interactions -- 8.2 Getting a Feel for the Data -- 8.3 Models with two-Variable Interactions -- 8.3.1 Link to the Testing of Independence between Two Variables -- 9 Model Selection and Diagnostics -- 9.1 Introduction -- 9.1.1 Ockham's Razor -- 9.2 Notation for Interactions and for Models -- 9.3 Stepwise Methods for Model Selection Using G2. 9.3.1 Forward Selection -- 9.3.2 Backward Elimination -- 9.3.3 Complete Stepwise -- 9.4 AIC and Related Measures -- 9.5 The Problem Caused by Rare Combinations of Events -- 9.5.1 Tackling the Problem -- 9.6 Simplicity Versus Accuracy -- 9.7 DFBETAS -- References -- 10 Multinomial Logistic Regression -- 10.1 A Single Continuous Explanatory Variable -- 10.2 Nominal Categorical Explanatory Variables -- 10.3 Models for an Ordinal Response Variable -- 10.3.1 Cumulative Logits -- 10.3.2 Proportional Odds Models -- 10.3.3 Adjacent-Category Logit Models -- 10.3.4 Continuation-Ratio Logit Models -- References -- 11 Log-Linear Models for I × J Tables -- 11.1 The Saturated Model -- 11.1.1 Cornered Constraints -- 11.1.2 Centered Constraints -- 11.2 The Independence Model for an I × J Table -- 12 Log-Linear Models for I × J × K Tables -- 12.1 Mutual Independence: A∕B∕C -- 12.2 The Model AB∕C -- 12.3 Conditional Independence and Independence -- 12.4 The Model AB∕AC -- 12.5 The Models AB∕AC∕BC and ABC -- 12.6 Simpson's Paradox -- 12.7 Connection between Log-Linear Models and Logistic Regression -- Reference -- 13 Implications and Uses of Birch's Result -- 13.1 Birch's Result -- 13.2 Iterative Scaling -- 13.3 The Hierarchy Constraint -- 13.4 Inclusion of the All-Factor Interaction -- 13.5 Mostellerizing -- References -- 14 Model Selection for Log-Linear Models -- 14.1 Three Variables -- 14.2 More than Three Variables -- Reference -- 15 Incomplete Tables, Dummy Variables, and Outliers -- 15.1 Incomplete Tables -- 15.1.1 Degrees of Freedom -- 15.2 Quasi-independence -- 15.3 Dummy Variables -- 15.4 Detection of Outliers -- 16 Panel Data and Repeated Measures -- 16.1 The Mover-Stayer Model -- 16.2 The Loyalty Model -- 16.3 Symmetry -- 16.4 Quasi-Symmetry -- 16.5 The Loyalty-Distance Model -- References -- Appendix R Code for Cobweb Function -- Index -- Author Index. Index of Examples -- EULA. |
| Record Nr. | UNINA-9910795811003321 |
|
Upton Graham J. G
|
||
| Newark : , : John Wiley & Sons, Incorporated, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Soggetto topico
-
Multivariate analysis
(340)
- Mathematical statistics (25)
- Regression analysis (24)
- Anàlisi multivariable (20)
- Statistics (18)