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Computation of the estimated parameters and wald statistic for the generalized growth curve model

 

作者: Neil C. Sehwertman,   John R. Huseby,   David M. Allen,  

 

期刊: Communications in Statistics - Simulation and Computation  （Taylor Available online 1980）
卷期: Volume 9, issue 6  

页码: 675-693

 

ISSN:0361-0918

 

年代: 1980

 

DOI:10.1080/03610918008812185

 

出版商: Taylor & Francis Group

 

关键词: growth curve;repeated measures;missing data;multivariate;wald statistics;generalized growth curve model

 

数据来源: Taylor

 

摘要:

Multivariate analysis is difficult when there are missing observations in the response vectors. Kleinbaum (1973) proposed a Wald statistic useful in the analysis of incomplete multivariate data. SUBROUTINE C0EF calculates the estimated parameter matrix g in the generalization of the Potthoff-Roy (1964) growth curve model proposed by Kleinbaum (1973). SUBROUTINE WALD calculates the Wald statistic for hypotheses of the form Hn: H 5 D = 0 as proposed by Kleinbaum (1973).

 

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