Understanding Regression Analysis / by Michael Patrick Allen

Englisch

New York, NY : Springer US [1997.] ; New York, NY : Imprint: Springer [1997.], 1997

Online-Ressource (ix, 216 p) : ill

978-0-585-25657-3

Weitere Ausgaben: 978-0-306-45648-0 (Druckausgabe)

DOI: 10.1007/b102242

*Social sciences ; Social sciences. ; Public health.

Klassifikation der Library of Congress: H1-970.9

Dewey Dezimal-Klassifikation: 300;

Book Industry Communication: J

Book Industry Communication: JHB

bisacsh: SOC000000

By assuming it is possible to understand regression analysis without fully comprehending all its underlying proofs and theories, this introduction to the widely used statistical technique is accessible to readers who may have only a rudimentary knowledge of mathematics. Chapters discuss: -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; -testing compound hypotheses and the application of the regression model to the analyses of variance and covariance, and -structural equation models and influence statistics

 

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http://dx.doi.org/10.1007/b102242 [Springer EBook]