Understanding regression analysis:

Proceeding on the assumption that it is possible to develop a sufficient understanding of this technique without resorting to mathematical proofs and statistical theory, Understanding Regression Analysis explores Descriptive statistics using vector notation and the components of a simple regression...

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Bibliographische Detailangaben
1. Verfasser: Allen, Michael P. (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: New York [u.a.] Plenum Press 1997
Schlagworte:
Zusammenfassung:Proceeding on the assumption that it is possible to develop a sufficient understanding of this technique without resorting to mathematical proofs and statistical theory, Understanding Regression Analysis explores Descriptive statistics using vector notation and the components of a simple regression model; the logic of sampling distributions and simple hypothesis testing; the basic operations of matrix algebra and the properties of the multiple regression model; the testing of compound hypotheses and the application of the regression model to the analysis of variance and covariance; and structural equation models and influence statistics
This user-friendly text encourages an intuitive grasp of regression analysis by deferring issues of statistical inference until the reader has gained some experience with the purely descriptive properties of the regression model. It is an excellent, practical guide for advanced undergraduate and postgraduate students in social science courses covering sociology, political science, anthropology, and psychology, and a worthwhile primer for researchers and policy analysts with no formal training in statistics
Beschreibung:IX, 216 S. graph. Darst.
ISBN:0306456486
0306484331

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