Applied Linear Statistical Models (Int'l Ed)  (English, Book, Kutner Michael)

Applied Linear Statistical Models 5e is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through 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 "Notes" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects 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 where methods can be automated within software without loss of understanding, it is so done.

Salient Features

• A new chapter 15 introduction to the Design of Experiments frames and outlines the organization and concepts of design and ANOVA.
• Updated throughout to include the latest developments and methods in statistics such as: More powerful Levene test, AIC, partial regression plots, partial residual plots, Eicher and White , advanced bootstrapping, spline regression, Neural networks, regression trees, other 'blocking' approaches, and more.
• The 'flow' has been improved by way of editing throughout, combining related chapters and smoothing transitions between concepts. Overall, the text has been reduced from 32 chapters to 30, with one entirely new chapter (15).
• 'Cases' have been added to assignment material, with examples from finance, updated data sets, and large new data sets.
• More integration of computing and automated methods where appropriate, without sacrificing statistical literacy.
• Thorough, comprehensive coverage, -the 'bible' of statistics.
• Straightforward writing style, notation, and format for students in a wide range of disciplines.
• Clean and reliable for teaching and reference.