| #442884 in Books | McGraw-Hill Irwin | 2004-08-10 | Ingredients: Example Ingredients | Original language:English | PDF # 1 | 9.40 x2.30 x7.80l,5.56 | File Name: 007310874X | 1396 pages
||0 of 0 people found the following review helpful.| The examples in the book are thorough and easy to follow|By zach|This book covers so much knowledge. The book takes an algebraic approach to most topics and shies away from the matrix algebra approach used by so many other books. The examples in the book are thorough and easy to follow. This book is really only about linear regression and ANOVA (one-way, two-way, MANOVA, mixed|About the Author||Michael H. Kutner is a professor at Emory University in Atlanta. |Chris J. Nachtsheim is a professor at the University of Minnesota at Minneapolis. |John Neter is a professor at the University of Georgia in Athens.
Applied Linear Statistical Models 5e is the long established leading authoritative text and reference on statistical modeling, analysis of variance, and the design of experiments. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text proceeds through linear and nonlinear regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are pr...
[PDF.lp28] Applied Linear Statistical Models Rating: 4.91 (565 Votes)
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