Applied Linear Statistical Models
by John Neter, Michael H Kutner, William Wasserman, Christopher J. Nachtsheim
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Book Summary Information
Author: Christopher J. Nachtsheim, John Neter, Michael H Kutner, William WassermanEdition: Hardcover
Audio: English (Original Language); English (Unknown); English (Published)
Published: 1996-02-01
ISBN: 0256117365
Number of pages: 1408
Publisher: McGraw-Hill/Irwin
Book Reviews of Applied Linear Statistical Models
Book Review: this explains everything...
Summary: 5 Stars
It's the only book in our library that (a) doesn't assume that you know everything already, and (b) doesn't assume that you want to skip over any of the details. Adding in an excess of examples it makes for a very long book, but when you find yourself needing to decypher someone else's statistical software (like I did) it's a life-saver.
Summary of Applied Linear Statistical Models
There are two approaches to undergraduate and graduate courses in linear statistical models and experimental design in applied statistics. One is a two-term sequence focusing on regression followed by ANOVA/Experimental design. Applied Linear Statistical Models serves that market. It is offered in business, economics, statistics, industrial engineering, public health, medicine, and psychology departments in four-year colleges and universities, and graduate schools. Applied Linear Statistical Models is the leading text in the market. It is noted for its quality and clarity, and its authorship is first-rate. The approach used in the text is an applied one, with an emphasis on understanding of concepts and exposition by means of examples. Sufficient theoretical foundations are provided so that applications of regression analysis can be carried out comfortably. The fourth edition has been updated to keep it current with important new developments in regression analysis.Statistics Books
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