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Linear Models with Multiple Linear Regression
by E.T. Noone
357 pages; Spiral coil; catalogue #01-0165; ISBN 1-55212-765-6; US$30.50, C$35.00, EUR25.50, £18.00
Text book based on statistical linear modeling.
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About the Book
"Statistics, the science of data, has blossomed from roots in agriculture and genetics into a rich mathematical science that provides essential tools both for analyses of uncertainty and for forecasts of future events. From clinical research to market survey, from enhancement of digital photographs to stock market models, statistical methods permeate policy analysis in every area of human affairs." (Everybody Counts: A Report to the Nation on the Future Mathematics Education, National Research Council, page 5).
"There are many approaches to the formulation and analysis of research problems. In some situations an informal, nonmathematical approach may be most appropriate while in others it is desirable to develop a more formal model of the problem to be studied. One effective approach in many situations is a general linear mathematical model, a direct and powerful approach to the effective formulation and solution of a wide variety of research problems. Certain widely used procedures such as an analysis of variance and analysis of covariance are special cases of the general approach." (Introduction of Linear Models, Ward and Jennings: Preface, page iv).
Linear modeling using multiple linear regression makes the application of analysis of variance, analysis of covariance other advanced statistical methods feasible at the introductory level. The purpose of this text is to introduce the technique of linear modeling to test research hypotheses at the college sophomore level. The students need only a basic knowledge of statistical concepts to be successful. Furthermore, the book is written to provide for the utilization of any statistical software that has multiple linear regression analysis.
About the Author
B.S. and M.S. Degrees in Mathematics from Northwestern State University of Louisiana Ed.D. from University of Southern Mississipi. Teaches mathematics at Longwood College.
Table of Contents
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Catalogue Information
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