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Prescriptions for Working Statisticians

  • Textbook
  • © 1988

Overview

Part of the book series: Springer Texts in Statistics (STS)

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Table of contents (9 chapters)

Keywords

About this book

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.

Authors and Affiliations

  • Graduate School of Business, University of Chicago, Chicago, USA

    Albert Madansky

Bibliographic Information

  • Book Title: Prescriptions for Working Statisticians

  • Authors: Albert Madansky

  • Series Title: Springer Texts in Statistics

  • DOI: https://doi.org/10.1007/978-1-4612-3794-5

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York Inc. 1988

  • Softcover ISBN: 978-1-4612-8354-6Published: 22 January 2012

  • eBook ISBN: 978-1-4612-3794-5Published: 06 December 2012

  • Series ISSN: 1431-875X

  • Series E-ISSN: 2197-4136

  • Edition Number: 1

  • Number of Pages: XIX, 295

  • Topics: Applications of Mathematics

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