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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Allen, Michael Patrick
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York : Plenum Press, �1997.
Θέματα:
Διαθέσιμο Online:http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=34594
Περιγραφή
Περίληψη: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.
Φυσική περιγραφή:1 online resource (ix, 216 pages) : illustrations
Βιβλιογραφία:Includes bibliographical references (pages 210-212) and index.
ISBN:0585256578
9780585256573