Overview:Applied Regression Analysis: A Research Tool - Springer Texts in Statistics - 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 RegressionAnalysis 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.
This book is on page /88f0ff300130a9332bf7ee8997e69000/book/1603729736-9780387984544. It was written by the following authors: David A. Dickey, Sastry G. Pantula, John O. Rawlings. Book Applied Regression Analysis: A Research Tool - Springer Texts in Statistics, which can be read online, published by the company: Springer-Verlag New York Inc.. Other books on similar topics can be found in sections: Technology, Medicine, Science. The book was published on 2001-04-06 00:00:00. It has 660 pages and is published in Hardback format and weight 3330 g. File for download Applied Regression Analysis: A Research Tool - Springer Texts in Statistics has PDF format and is called applied-regression-analysis-a-research-tool-springer-texts-in-statistics.pdf. Other books you can download below. Our nottedeiricercatoriaq.it site is not responsible for the content of PDF files.
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