The gradient test : another likelihood-based test /

The Gradient Test: Another Likelihood-Based Test presents the latest on the gradient test, a large-sample test that was introduced in statistics literature by George R. Terrell in 2002. The test has been studied by several authors, is simply computed, and can be an interesting alternative to the cla...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Lemonte, Artur (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam : Academic Press, 2016.
Temas:
Statistics.
MATHEMATICS > Applied.
MATHEMATICS > Probability & Statistics > General.
Statistiques.
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000 i 4500
001 SCIDIR_ocn945766284
003 OCoLC
005 20231120112101.0
006 m o d
007 cr |||||||||||
008 160201s2016 ne o 000 0 eng d
040 |a NLE  |b eng  |e rda  |e pn  |c NLE  |d EBLCP  |d IDEBK  |d N$T  |d YDXCP  |d CDX  |d OCLCF  |d OPELS  |d D6H  |d IDB  |d LVT  |d MERUC  |d VGM  |d OCLCQ  |d ESU  |d OCLCQ  |d DEBBG  |d B3G  |d I9W  |d I8H  |d BRA  |d U3W  |d MERER  |d OCLCQ  |d COS  |d COF  |d WRM  |d OCLCQ  |d AU@  |d OCLCQ  |d UWO  |d LQU  |d DCT  |d ERF  |d UHL  |d S2H  |d UKMGB  |d OCLCQ  |d AUD  |d UAB  |d ZAQ  |d STF  |d VLY  |d BWN  |d LUN  |d OCLCO  |d REDDC  |d LOA  |d OCL  |d UX1  |d TUHNV  |d SFB  |d AAA  |d COM  |d OCLCO  |d OCLCQ 
066 |c Grek  |c (S 
015 |a GBB621794  |2 bnb 
016 7 |a 017738728  |2 Uk 
019 |a 938788682  |a 940438049  |a 1105187567  |a 1105564851  |a 1229516826 
020 |a 9780128036136  |q (electronic bk.) 
020 |a 0128036133  |q (electronic bk.) 
020 |z 9780128035962  |q (pbk.) 
020 |z 012803596X 
024 8 |a 40025831620 
035 |a (OCoLC)945766284  |z (OCoLC)938788682  |z (OCoLC)940438049  |z (OCoLC)1105187567  |z (OCoLC)1105564851  |z (OCoLC)1229516826 
050 4 |a QA277 
072 7 |a MAT  |x 003000  |2 bisacsh 
072 7 |a MAT  |x 029000  |2 bisacsh 
082 0 4 |a 519.5  |2 23 
100 1 |a Lemonte, Artur,  |e author. 
245 1 4 |a The gradient test :  |b another likelihood-based test /  |c Artur Lemonte. 
264 1 |a Amsterdam :  |b Academic Press,  |c 2016. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Preface Chapter 1 The gradient statistic Chapter 2 The local power of the gradient test Chapter 3 The Bartlett-corrected gradient statistic Chapter 4 The gradient statistic under model misspecification Chapter 5 The robust gradient-type bounded-influence test References. 
588 0 |a CIP data; item not viewed. 
505 0 |6 880-01  |a Front Cover; The Gradient Test: Another Likelihood-Based Test; Copyright; Dedication; Contents; List of Figures; List of Tables; Preface; Chapter 1: The Gradient Statistic; 1.1 Background; 1.2 The Gradient Test Statistic; 1.3 Some Properties of the Gradient Statistic; 1.4 Composite Null Hypothesis; 1.5 Birnbaum-Saunders Distribution Under Type II Censoring; 1.5.1 Inference Under Type II Censored Samples; 1.5.2 Numerical Results; 1.5.3 Empirical Applications; 1.6 Censored Exponential Regression Model; 1.6.1 The Regression Model; 1.6.2 Finite-Sample Size Properties. 
505 8 |a 3.6.4 Real Data IllustrationChapter 4: The Gradient Statistic Under Model Misspecification; 4.1 Introduction; 4.2 The Robust Gradient Statistic; 4.3 Examples; 4.4 Numerical Results; Chapter 5: The Robust Gradient-Type Bounded-Influence Test; 5.1 Introduction; 5.2 The Robust Gradient-Type Test; 5.3 Robustness Properties; 5.4 Algorithm to Compute the Gradient-Type Statistic; 5.5 Closing Remarks; Bibliography; Back Cover. 
520 |a The Gradient Test: Another Likelihood-Based Test presents the latest on the gradient test, a large-sample test that was introduced in statistics literature by George R. Terrell in 2002. The test has been studied by several authors, is simply computed, and can be an interesting alternative to the classical large-sample tests, namely, the likelihood ratio (LR), Wald (W), and Rao score (S) tests. Due to the large literature about the LR, W and S tests, the gradient test is not frequently used to test hypothesis. The book covers topics on the local power of the gradient test, the Bartlett-corrected gradient statistic, the gradient statistic under model misspecification, and the robust gradient-type bounded-influence test. 
650 0 |a Statistics. 
650 7 |a MATHEMATICS  |x Applied.  |2 bisacsh 
650 7 |a MATHEMATICS  |x Probability & Statistics  |x General.  |2 bisacsh 
650 7 |a Statistics.  |2 fast  |0 (OCoLC)fst01132103 
655 7 |a Statistics.  |2 fast  |0 (OCoLC)fst01423727 
655 7 |a Statistics.  |2 lcgft 
655 7 |a Statistiques.  |2 rvmgf  |0 (CaQQLa)RVMGF-000001223 
776 0 8 |i Print version:  |z 9780128035962 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780128035962  |z Texto completo 
880 8 |6 505-00/Grek  |a 1.6.3 An Empirical ApplicationChapter 2: The Local Power of the Gradient Test; 2.1 Preliminaries; 2.2 Nonnull Distribution up to Order O(n-1/2); 2.3 Power Comparisons Between the Rival Tests; 2.4 Nonnull Distribution Under Orthogonality; 2.5 One-Parameter Exponential Family; 2.6 Symmetric Linear Regression Models; 2.6.1 The Model, Estimation, and Testing; 2.6.2 Nonnull Distribution and Finite Sample Performance; 2.6.3 Tests for the Parameter ϕ; 2.7 GLM With Dispersion Covariates; 2.7.1 Nonnull Distribution Under Han1:β1=β10+ε1; 2.7.2 Nonnull Distribution Under Han2:γ1=γ10+ε2. 
880 8 |6 505-01/Grek  |a 2.7.3 Power Comparisons2.8 Censored Exponential Regression Model; Chapter 3: The Bartlett-Corrected Gradient Statistic; 3.1 Introduction; 3.2 Null Distribution up to Order O(n-1); 3.3 The One-Parameter Case; 3.4 Models With Two Orthogonal Parameters; 3.5 Birnbaum-Saunders Regression Models; 3.5.1 The sinh-Normal Distribution; 3.5.2 The BS Regression Model; 3.5.3 The Bartlett-Corrected Gradient Statistic; 3.5.4 Numerical Evidence; 3.6 Generalized Linear Models; 3.6.1 The Bartlett-Corrected Gradient Statistic; 3.6.2 Finite-Sample Performance; 3.6.3 Tests on the Parameter ϕ. 

Ejemplares similares