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Table of contents (7 chapters)
Keywords
About this book
Reviews
From the reviews:
"The book is well written and contains a goodly number of real-data applications." ISI
Short Book Reviews, Vol.23/1, April 2003
"This book offers an extensive view of Growth Curve Models and a wide range of issues related with statistical diagnosis. … Each chapter ends with some bibliographical notes that inform the reader about historical sources as well as about recent developments. The bibliographic list is impressive! … the information given about Growth Curve Models and Statistical Diagnosis is excellent. The book is written very rigorously and precisely and I strongly recommend it for statisticians or for applied scientists with some mathematical and statistical background." (Prof. C. GarcÃa-Olaverri, Kwantitatieve Methoden, Vol. 72B5, 2003)
"The authors have written a basic book on a well developed and important field in multivariate statistical analysis. It will undoubtedly serve as a reference in this field." (Arjun K. Gupta, Zentralblatt MATH, Vol. 1024, 2003)
"This book presents methods for analyzing repeated measures and longitudinal data using the growth curve models (GCMs), with specific focus on the generalized multivariate analysis of variance (GMANOVA) model. … For researchers, the book’s main strength is its level of detail. … Theoreticians in multivariate analysis will find this book to be a good reference for this particular GCM and multivariate regression diagnosis." (Andrew M. Kuhn, Technometrics, Vol. 45 (3), 2003)
"Models are discussed for data variously described as growth curves, longitudinal data, or multilevel data. The text supplements the growing number of references on techniques for longitudinal data by focusing on diagnostics for outliers and influential observations. … the book is well written and does contain a goodly number of real-data applications." (J. O. Ramsey, Short Book Reviews, Vol. 23 (1), 2003)
Authors and Affiliations
Bibliographic Information
Book Title: Growth Curve Models and Statistical Diagnostics
Authors: Jian-Xin Pan, Kai-Tai Fang
Series Title: Springer Series in Statistics
DOI: https://doi.org/10.1007/978-0-387-21812-0
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2002
Hardcover ISBN: 978-0-387-95053-2Published: 21 August 2002
Softcover ISBN: 978-1-4419-2864-1Published: 09 October 2011
eBook ISBN: 978-0-387-21812-0Published: 06 November 2012
Series ISSN: 0172-7397
Series E-ISSN: 2197-568X
Edition Number: 1
Number of Pages: XVII, 388
Additional Information: Jointly published with Science Press, Beijing, China
Topics: Probability Theory and Stochastic Processes, Statistical Theory and Methods, Statistics for Life Sciences, Medicine, Health Sciences