Springer Series in Statistics

Growth Curve Models and Statistical Diagnostics

Authors: Pan, Jian-Xin, Fang, Kai-Tai

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eBook $149.00
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  • ISBN 978-0-387-21812-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
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  • Immediate eBook download after purchase
Hardcover $189.00
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  • ISBN 978-0-387-95053-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $189.00
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  • ISBN 978-1-4419-2864-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Growth-curve models are generalized multivariate analysis-of-variance models. These models are especially useful for investigating growth problems on short times in economics, biology, medical research, and epidemiology. This book systematically introduces the theory of the GCM with particular emphasis on their multivariate statistical diagnostics, which are based mainly on recent developments made by the authors and their collaborators. The authors provide complete proofs of theorems as well as practical data sets and MATLAB code.

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. García-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)


Table of contents (7 chapters)

  • Introduction

    Pan, Jian-Xin (et al.)

    Pages 1-37

  • Generalized Least Square Estimation

    Pan, Jian-Xin (et al.)

    Pages 38-76

  • Maximum Likelihood Estimation

    Pan, Jian-Xin (et al.)

    Pages 77-158

  • Discordant Outlier And Influential Observation

    Pan, Jian-Xin (et al.)

    Pages 159-223

  • Likelihood-Based Local Influence

    Pan, Jian-Xin (et al.)

    Pages 224-263

Buy this book

eBook $149.00
price for USA (gross)
  • ISBN 978-0-387-21812-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $189.00
price for USA
  • ISBN 978-0-387-95053-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $189.00
price for USA
  • ISBN 978-1-4419-2864-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Growth Curve Models and Statistical Diagnostics
Authors
Series Title
Springer Series in Statistics
Copyright
2002
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
Distribution Rights
Distribution rights for China: Science Press, Beijing, China
eBook ISBN
978-0-387-21812-0
DOI
10.1007/978-0-387-21812-0
Hardcover ISBN
978-0-387-95053-2
Softcover ISBN
978-1-4419-2864-1
Series ISSN
0172-7397
Edition Number
1
Number of Pages
XVII, 388
Additional Information
Jointly published with Science Press, Beijing, China
Topics