Prescriptions for Working Statisticians (Paperback, Softcover reprint of the original 1st ed. 1988)

The first course in statistics, no matter how "good" or "long" it is, typically covers inferential procedures which are valid only if a number of preconditions are satisfied by the data. For example, students are taught about regression procedures valid only if the true residuals are independent, homoscedastic, and normally distributed. But they do not learn how to check for indepen dence, homoscedasticity, or normality, and certainly do not learn how to adjust their data and/or model so that these assumptions are met. To help this student out I designed a second course, containing a collec tion of statistical diagnostics and prescriptions necessary for the applied statistician so that he can deal with the realities of inference from data, and not merely with the kind of classroom problems where all the data satisfy the assumptions associated with the technique to be taught. At the same time I realized that I was writing a book for a wider audience, namely all those away from the classroom whose formal statistics education ended with such a course and who apply statistical techniques to data."

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Texts in Statistics
Release date:	2012
First published:	1988
Authors:	Albert Madansky
Dimensions:	235 x 155 x 17mm (L x W x T)
Format:	Paperback
Pages:	295
Edition:	Softcover reprint of the original 1st ed. 1988
ISBN-13:	978-1-4612-8354-6
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > General Promotions
LSN:	1-4612-8354-X
Barcode:	9781461283546

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