Metrics and Models in Software Quality Engineering

Edition: 2
Release: 2002-09-26
Publisher: Addison-Wesley Professional
Binding: Hardcover
ISBN/ASIN: 0201729156



Metrics and Models in Software Quality Engineering (2nd Edition)

Our society has become increasingly reliant on software in the past decade; businesses have learned that measuring the effectiveness of software projects can impact the bottom line; and quality is no longer an advantage in the software marketplace (it is a necessity). Free download Metrics and Models in Software Quality Engineering books collection in PDF, EPUB, FB2, MOBI, and TXT formats. For these reasons, the demand for quality in software engineering has taken center stage in the twenty-first century. In this new edition, Stephen Kan presents a thoroughly updated overview and implementation guide for software engineers faced with the challenge of ensuring quality. The book balances theory, techniques, and real-life examples to provide practical guidelines in the practice of quality. Although there are equations and formulas presented, the book's focus remains on helping the reader understand and apply the metrics and models. Best deals ebooks download Metrics and Models in Software Quality Engineering on amazon.With this book as a map, readers can navigate through the complex field of quality, and benefit their organization by improving their processes and products. Metrics and Models in Software Quality Engineering (2nd Edition) with free ebook downloads available via rapidshare, mediafire, 4shared, and hotfile.

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SAS for Mixed Models, Second Edition

Edition: 2nd
Release: 2006-02-21
Publisher: SAS Institute
Binding: Paperback
ISBN/ASIN: 1590475003



SAS for Mixed Models, Second Edition

The indispensable, up-to-date guide to mixed models using SAS. Free download SAS for Mixed Models, Second Edition books collection in PDF, EPUB, FB2, MOBI, and TXT formats. D Best deals ebooks download SAS for Mixed Models, Second Edition on amazon.scover the latest capabilities available for a variety of applications featuring the MIXED, GLIMMIX, and NLMIXED procedures in SAS for Mixed Models, Second Edition, the comprehensive mixed models guide for data analysis, completely revised and updated for SAS 9 by authors Ramon Littell, George Milliken, Walter Stroup, Russell Wolfinger, and Oliver Schabenberger. The theory underlying the models, the forms of the models for various applications, and a wealth of examples from different fields of study are integrated in the discussions of these models: random effect only and random coefficients models; split-plot, multilocation, and repeated measures models; hierarchical models with nested random effects; analysis of covariance models; spatial correlation models; generalized linear mixed models; and nonlinear mixed models. Professionals and students with a background in two-way ANOVA and regression and a basic knowledge of linear models and matrix algebra will benefit from the topics covered. SAS for Mixed Models, Second Edition with free ebook downloads available via rapidshare, mediafire, 4shared, and hotfile.

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