Applied Linear Statistical Models Michael H. Kutner [and others.]

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 wo...

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Bibliographic Details
Main Authors: Kutner, Michael H. (Author), Nachtsheim, Christopher J. (Author), Neter, John (Author), Li, William (Author)
Format: Book
Published: Boston, FL McGraw-Hill Irwin 2005
©1974
Edition:Fifth Edition
Series:The McGraw-Hill/Irwin series operations and decision sciences
Subjects:
Online Access:Click Here to View Status and Holdings.
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504 # # |a Includes bibliographical references (p. 1374-1384) and index 
520 # # |a 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 presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Comments" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, projects, and case studies are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and the use of automated software without loss of understanding. 
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700 1 # |a Neter, John  |e author 
700 1 # |a Li, William  |e author 
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