Comparison of methods of estimation for a goodness of fit test - an analytical and simulation study

被引：2

作者：

Pinto, Vimukthini ^{[1
]}

Sooriyarachchi, Roshini ^{[1
]}

机构：

[1] Univ Colombo, Dept Stat, Colombo 3, Sri Lanka

来源：

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION | 2021年 / 91卷 / 09期

关键词：

Estimation techniques; goodness-of-fit; marginal quasi likelihood (MQL); multilevel modelling; penalized quasi likelihood (PQL); MULTILEVEL MODELS; INFERENCE;

D O I：

10.1080/00949655.2021.1872078

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Multilevel modelling is a novel approach to analyse data which consist of a hierarchical or a nested structure. With advancements in multilevel modelling, there has been an advancement in the estimation techniques and also in goodness-of-fit tests which are vital to assess the fit of a model. However, these goodness-of-fit tests are not as yet tested to be suitable for models estimated using different estimation techniques. This study aims to conduct a comparison of methods of estimations for use in a goodness-of-fit test which is developed for binary response multilevel models. The comparison is based upon the mathematical background, extensive simulations and an application to a real-life dataset.

引用

页码：1846 / 1866

页数：21

共 35 条

[1]

[Anonymous], 2011, MULTILEVEL STAT MODE

[2]

[Anonymous], 2004, KNOX CHONDROS

[3] A goodness of fit test for multilevel survival data [J].

Balakrishnan, Kirushanthini ;

Sooriyarachchi, M. R. .

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2018, 47 (01) :30-47

[4]

BLALOCK HM, 1984, ANNU REV SOCIOL, V10, P353

[5]

BRESLOW NE, 1995, BIOMETRIKA, V82, P81

[6] APPROXIMATE INFERENCE IN GENERALIZED LINEAR MIXED MODELS [J].

BRESLOW, NE ;

CLAYTON, DG .

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1993, 88 (421) :9-25

[7]

Browne W.J., 1998, Applying mcmc methods to multi-level models

[8]

Chen N.W., 2011, THESIS TEXAS A M U

[9]

Entwisle B., 1983, SOCIOLOGICAL METHODO, P72

[10] A goodness of fit test for the multilevel proportional odds model [J].

Epasinghe, Nirodha ;

Sooriyarachchi, Roshini .

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2017, 46 (07) :5610-5626

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