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Applied statistical science research.


Applied statistical science research.

Ed. by Mohammad Ahsanullah.

Nova Science Publishers


141 pages




This work collects recent international research in applied statistics. Some areas explored include robust estimation in calibration models using the student-t distribution, classification of multivariate repeated measures data with temporal autocorrelation, local influence for measurement error regression models for the analysis of pretest/posttest data, and a transition model for an ordered cluster of mixed continuous and discrete response with non-monotone missingness. Other subjects are Bayesian modeling for recurrent lifetime data with a non-homogeneous Poisson process, and a nonbinary S-optimal design over a class of minimally connected binary row-column designs. Information on the editor is not included.

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Publication:SciTech Book News
Article Type:Book review
Date:Mar 1, 2009
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