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Analysis of Longitudinal Data

Analysis of Longitudinal Data BOOK REVIEWS 181 chemists. Commenting on th e ne w material in t he sec ond ed ition (2E ), wh ich only 4 y ears after its i nitial p ublication. Abo ut 4 0% of th e ad ditional pag es are was published i n 19 91, Bl ackwood (19 94) no ted t he pred ominance o f c ita- spread ac ross the o riginal se ven chap ters. Th ere also i s a new 85-page c hapter, tions fr om th e chemo metrics literature and comment ed that “ references from “Ad vanced I ssues and Deeper Insights.” Th is c hapter in cludes se ctions that other st atistical sources are sparse.” Chemo metrics had ce rtainly a rrived in a give an overv iew of mo del selec tion criteria, contrast th e Ak aike inf ormation big w ay by 1 991, a nd t here had n ot b een much imp act from the statisti cal criterion (A IC) and t he Ba yes information criterio n, p rovide a lot o f a dditional community. information a bout A IC, a nd ill ustrate mo http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Technometrics Taylor & Francis

Analysis of Longitudinal Data

Technometrics , Volume 45 (2): 1 – May 1, 2003

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References (4)

Publisher
Taylor & Francis
Copyright
© American Statistical Association and the American Society for Quality
ISSN
1537-2723
eISSN
0040-1706
DOI
10.1198/tech.2003.s147
Publisher site
See Article on Publisher Site

Abstract

BOOK REVIEWS 181 chemists. Commenting on th e ne w material in t he sec ond ed ition (2E ), wh ich only 4 y ears after its i nitial p ublication. Abo ut 4 0% of th e ad ditional pag es are was published i n 19 91, Bl ackwood (19 94) no ted t he pred ominance o f c ita- spread ac ross the o riginal se ven chap ters. Th ere also i s a new 85-page c hapter, tions fr om th e chemo metrics literature and comment ed that “ references from “Ad vanced I ssues and Deeper Insights.” Th is c hapter in cludes se ctions that other st atistical sources are sparse.” Chemo metrics had ce rtainly a rrived in a give an overv iew of mo del selec tion criteria, contrast th e Ak aike inf ormation big w ay by 1 991, a nd t here had n ot b een much imp act from the statisti cal criterion (A IC) and t he Ba yes information criterio n, p rovide a lot o f a dditional community. information a bout A IC, a nd ill ustrate mo

Journal

TechnometricsTaylor & Francis

Published: May 1, 2003

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