Graphical Tools for Detecting Departures from Linear Mixed Model Assumptions and Some Remedial Measures-Reference-Cited by-同舟云学术

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Graphical Tools for Detecting Departures from Linear Mixed Model Assumptions and Some Remedial Measures

Published:2016-06-30 Issue:2 Volume:85 Page:290-324
ISSN:0306-7734
Container-title:International Statistical Review
language:en
Short-container-title:International Statistical Review

Author:

Singer Julio M.¹,Rocha Francisco M.M.²,Nobre Juvêncio S.³

Affiliation:

1. Departamento de Estatística; Universidade de São Paulo; São Paulo Brazil

2. Escola Paulista de Política, Economia e Negócios; Universidade Federal de São Paulo; São Paulo Brazil

3. Departamento de Estatística e Matemática Aplicada; Universidade Federal do Ceará; Fortaleza Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/insr.12178/fullpdf

Reference78 articles.

1. Competing regression models for longitudinal data;Alencar;Biom. J.,2012

2. Skew-normal linear mixed models;Arellano-Valle;J. Data Sci.,2005

3. Bayesian inference for skew-normal linear mixed models;Arellano-Valle;J. Appl. Stat.,2007

4. Robust Diagnostic Regression Analysis

5. Influence diagnostics for linear longitudinal models;Banerjee;J. Amer. Statist. Assoc.,1997

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