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Asymptotic statistical inference : a basic course using R / / Shailaja Deshmukh, Madhuri Kulkarni
| Asymptotic statistical inference : a basic course using R / / Shailaja Deshmukh, Madhuri Kulkarni |
| Autore | Deshmukh Shailaja |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (540 pages) |
| Disciplina | 519.5 |
| Soggetto topico |
Mathematical statistics - Asymptotic theory
R (Computer program language) Estadística matemàtica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-15-9003-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Authors -- List of Figures -- List of Tables -- 1 Introduction -- 1.1 Introduction -- 1.2 Basics of Parametric Inference -- 1.3 Basics of Asymptotic Inference -- 1.4 Introduction to R Software and Language -- 2 Consistency of an Estimator -- 2.1 Introduction -- 2.2 Consistency: Real Parameter Setup -- 2.3 Strong Consistency -- 2.4 Uniform Weak and Strong Consistency -- 2.5 Consistency: Vector Parameter Setup -- 2.6 Performance of a Consistent Estimator -- 2.7 Verification of Consistency Using R -- 2.8 Conceptual Exercises -- 2.9 Computational Exercises -- 3 Consistent and Asymptotically Normal Estimators -- 3.1 Introduction -- 3.2 CAN Estimator: Real Parameter Setup -- 3.3 CAN Estimator: Vector Parameter Setup -- 3.4 Verification of CAN Property Using R -- 3.5 Conceptual Exercises -- 3.6 Computational Exercises -- 4 CAN Estimators in Exponential and Cramér Families -- 4.1 Introduction -- 4.2 Exponential Family -- 4.3 Cramér Family -- 4.4 Iterative Procedures -- 4.5 Maximum Likelihood Estimation Using R -- 4.6 Conceptual Exercises -- 4.7 Computational Exercises -- 5 Large Sample Test Procedures -- 5.1 Introduction -- 5.2 Likelihood Ratio Test Procedure -- 5.3 Large Sample Tests Using R -- 5.4 Conceptual Exercises -- 5.5 Computational Exercises -- 6 Goodness of Fit Test and Tests for Contingency Tables -- 6.1 Introduction -- 6.2 Multinomial Distribution and Associated Tests -- 6.3 Goodness of Fit Test -- 6.4 Score Test and Wald's Test -- 6.5 Tests for Contingency Tables -- 6.6 Consistency of a Test Procedure -- 6.7 Large Sample Tests Using R -- 6.8 Conceptual Exercises -- 6.9 Computational Exercises -- 7 Solutions to Conceptual Exercises -- 7.1 Chapter 2 -- 7.2 Chapter 3 -- 7.3 Chapter 4 -- 7.4 Chapter 5 -- 7.5 Chapter 6 -- 7.6 Multiple Choice Questions -- 7.6.1 Chapter 2: Consistency of an Estimator.
7.6.2 Chapter 3: Consistent and Asymptotically Normal Estimators -- 7.6.3 Chapter 4: CAN Estimators in Exponential and Cramér Families -- 7.6.4 Chapter 5: Large Sample Test Procedures -- 7.6.5 Chapter 6: Goodness of Fit Test and Tests for Contingency Tables -- Appendix *-1.6pcIndex -- Index. |
| Record Nr. | UNISA-996466392603316 |
Deshmukh Shailaja
|
||
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Asymptotic statistical inference : a basic course using R / / Shailaja Deshmukh, Madhuri Kulkarni
| Asymptotic statistical inference : a basic course using R / / Shailaja Deshmukh, Madhuri Kulkarni |
| Autore | Deshmukh Shailaja |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (540 pages) |
| Disciplina | 519.5 |
| Soggetto topico |
Mathematical statistics - Asymptotic theory
R (Computer program language) Estadística matemàtica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-15-9003-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Authors -- List of Figures -- List of Tables -- 1 Introduction -- 1.1 Introduction -- 1.2 Basics of Parametric Inference -- 1.3 Basics of Asymptotic Inference -- 1.4 Introduction to R Software and Language -- 2 Consistency of an Estimator -- 2.1 Introduction -- 2.2 Consistency: Real Parameter Setup -- 2.3 Strong Consistency -- 2.4 Uniform Weak and Strong Consistency -- 2.5 Consistency: Vector Parameter Setup -- 2.6 Performance of a Consistent Estimator -- 2.7 Verification of Consistency Using R -- 2.8 Conceptual Exercises -- 2.9 Computational Exercises -- 3 Consistent and Asymptotically Normal Estimators -- 3.1 Introduction -- 3.2 CAN Estimator: Real Parameter Setup -- 3.3 CAN Estimator: Vector Parameter Setup -- 3.4 Verification of CAN Property Using R -- 3.5 Conceptual Exercises -- 3.6 Computational Exercises -- 4 CAN Estimators in Exponential and Cramér Families -- 4.1 Introduction -- 4.2 Exponential Family -- 4.3 Cramér Family -- 4.4 Iterative Procedures -- 4.5 Maximum Likelihood Estimation Using R -- 4.6 Conceptual Exercises -- 4.7 Computational Exercises -- 5 Large Sample Test Procedures -- 5.1 Introduction -- 5.2 Likelihood Ratio Test Procedure -- 5.3 Large Sample Tests Using R -- 5.4 Conceptual Exercises -- 5.5 Computational Exercises -- 6 Goodness of Fit Test and Tests for Contingency Tables -- 6.1 Introduction -- 6.2 Multinomial Distribution and Associated Tests -- 6.3 Goodness of Fit Test -- 6.4 Score Test and Wald's Test -- 6.5 Tests for Contingency Tables -- 6.6 Consistency of a Test Procedure -- 6.7 Large Sample Tests Using R -- 6.8 Conceptual Exercises -- 6.9 Computational Exercises -- 7 Solutions to Conceptual Exercises -- 7.1 Chapter 2 -- 7.2 Chapter 3 -- 7.3 Chapter 4 -- 7.4 Chapter 5 -- 7.5 Chapter 6 -- 7.6 Multiple Choice Questions -- 7.6.1 Chapter 2: Consistency of an Estimator.
7.6.2 Chapter 3: Consistent and Asymptotically Normal Estimators -- 7.6.3 Chapter 4: CAN Estimators in Exponential and Cramér Families -- 7.6.4 Chapter 5: Large Sample Test Procedures -- 7.6.5 Chapter 6: Goodness of Fit Test and Tests for Contingency Tables -- Appendix *-1.6pcIndex -- Index. |
| Record Nr. | UNINA-9910490026603321 |
|
Deshmukh Shailaja
|
||
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||