Applied Linear Statistical Models by John Neter, Michael H. Kutner and...

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Item specifics

Condition
Very Good: A book that has been read but is in excellent condition. No obvious damage to the cover, ...
ISBN
9780256083385
Category

About this product

Product Identifiers

Publisher
McGraw-Hill Higher Education
ISBN-10
025608338X
ISBN-13
9780256083385
eBay Product ID (ePID)
6038280087

Product Key Features

Number of Pages
1184 Pages
Publication Name
Applied Linear Statistical Models
Language
English
Publication Year
1990
Subject
System Theory, Research & Methodology
Type
Textbook
Author
John Neter, Michael H. Kutner, William Wasserman
Subject Area
Science
Format
Hardcover

Dimensions

Item Weight
70.5 Oz

Additional Product Features

Edition Number
3
Intended Audience
College Audience
LCCN
89-049309
Dewey Edition
20
Dewey Decimal
519.5
Synopsis
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.
LC Classification Number
QA278.2.N47 1990

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Hi and welcome to Wamul's Treasures! Wamul is named after my late wife Wanda. I donate a small percentage to the Brain Tumor association on most items in Wanda's honor. We have a large quantity of ...
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