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Applied Regression Analysis - A Research Tool (Paperback, 2nd ed. 1998. Softcover reprint of the original 2nd ed. 1998)
Loot Price: R2,710
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Applied Regression Analysis - A Research Tool (Paperback, 2nd ed. 1998. Softcover reprint of the original 2nd ed. 1998)
Series: Springer Texts in Statistics
Expected to ship within 10 - 15 working days
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Least squares estimation, when used appropriately, is a powerful
research tool. A deeper understanding of the regression concepts is
essential for achieving optimal benefits from a least squares
analysis. This book builds on the fundamentals of statistical
methods and provides appropriate concepts that will allow a
scientist to use least squares as an effective research tool.
Applied Regression Analysis is aimed at the scientist who wishes to
gain a working knowledge of regression analysis. The basic purpose
of this book is to develop an understanding of least squares and
related statistical methods without becoming excessively
mathematical. It is the outgrowth of more than 30 years of
consulting experience with scientists and many years of teaching an
applied regression course to graduate students. Applied Regression
Analysis serves as an excellent text for a service course on
regression for non-statisticians and as a reference for
researchers. It also provides a bridge between a two-semester
introduction to statistical methods and a thoeretical linear models
course.
Applied Regression Analysis emphasizes the concepts and the
analysis of data sets. It provides a review of the key concepts in
simple linear regression, matrix operations, and multiple
regression. Methods and criteria for selecting regression variables
and geometric interpretations are discussed. Polynomial,
trigonometric, analysis of variance, nonlinear, time series,
logistic, random effects, and mixed effects models are also
discussed. Detailed case studies and exercises based on real data
sets are used to reinforce the concepts. The data sets used in the
book are available on the Internet.
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