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Applied Linear Statistical Models by John Neter, Michael H. Kutner and William Wasserman (1990, Hardcover)

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Applied Linear Statistical Models by John Neter, Michael H. Kutner, and William Wasserman is a comprehensive textbook published by McGraw-Hill Higher Education in 1990. With a focus on science, this hardcover book covers a wide range of subjects related to system theory and research methodology. Written in English, it contains 1184 pages filled with valuable insights and explanations for students and professionals in the field. Like new condition with floppy in rear / instructor copy for review

Informazioni su questo prodotto

Product Identifiers

PublisherMcGraw-Hill Higher Education

ISBN-10025608338X

ISBN-139780256083385

eBay Product ID (ePID)6038280087

Product Key Features

Number of Pages1184 Pages

Publication NameApplied Linear Statistical Models

LanguageEnglish

Publication Year1990

SubjectSystem Theory, Research & Methodology

TypeTextbook

AuthorJohn Neter, Michael H. Kutner, William Wasserman

Subject AreaScience

FormatHardcover

Dimensions

Item Weight70.5 Oz

Additional Product Features

Edition Number3

Intended AudienceCollege Audience

LCCN89-049309

Dewey Edition20

Dewey Decimal519.5

SynopsisThere 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 NumberQA278.2.N47 1990