TY - JOUR
AU1 - Hadi, Ali S.
AB - BOOK REVIEWS Chapter 3, “Foundations of Partial Least Squares” (92 pp.), data at hand, and disappointed by the unavailability of computer defines conditional expectation, linear expectation, eigenvalue programs that implement many of the proposed clustering meth- problem, and power method. The author claims that the PLS ods, especially the more recent ones. This book addresses these technique of model building implies only very general, soft dis- issues. tributional assumptions but does not present any testing methods, One of the nice features of the book, at least from the practi- confidence regions, or inferences. This chapter gives calculation tioner’s point of view, is that the authors select and recommend formulas for deriving solutions and covariance matrices for a num- a few clustering methods and provide interactive computer pro- ber of models-aggregate, factor, and component models, and grams to implement them. (Although this review contains some principal-component models. Factor models (mode A, mode B, comments about the computer programs, it is mainly a review of and mode B reestimated), predictive two-block models (canonical the book, not of the programs.) correlation model, principal predictor model, interbattery factor Another nice feature is the emphasis on graphical displays (sil- model, Forter’s simultaneous prediction model, 
TI - Finding Groups in Data: An Introduction to Chster Analysis
JF - Technometrics
DO - 10.1080/00401706.1992.10485257
DA - 1992-02-01
UR - https://www.deepdyve.com/lp/taylor-francis/finding-groups-in-data-an-introduction-to-chster-analysis-HtI0J3c0sV
SP - 111
EP - 112
VL - 34
IS - 1
DP - DeepDyve
ER -