Data Driven Statistical Methods

Author:   Peter Sprent ,  Jim Zidek ,  Jim Zidek (University of British Columbia, Vancouver, Canada) ,  Jim Lindsey (University of Liege, Liege, Belgium)
Publisher:   Taylor & Francis Ltd
Volume:   43
ISBN:  

9780412795404


Pages:   416
Publication Date:   01 December 1997
Format:   Hardback
Availability:   In Print   Availability explained
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Data Driven Statistical Methods


Overview

Data Driven Statistical Methods is designed for use either as a text book at the undergraduate level, as a source book providing material and suggestions for teachers wishing to incorporate some of its features into more general courses, and also as a self-instruction manual for applied statisticians seeking a simple introduction to many important practical concepts that use the 'data driven' rather than the 'model driven' approach.

Full Product Details

Author:   Peter Sprent ,  Jim Zidek ,  Jim Zidek (University of British Columbia, Vancouver, Canada) ,  Jim Lindsey (University of Liege, Liege, Belgium)
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Volume:   43
Dimensions:   Width: 15.60cm , Height: 2.50cm , Length: 23.40cm
Weight:   0.657kg
ISBN:  

9780412795404


ISBN 10:   041279540
Pages:   416
Publication Date:   01 December 1997
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Reviews

This scholarly book brings together a vast literature on methods for analyzing and modeling rank data...it is a mathematical statistics book in the best sense of the word... - Short Books Reviews of the ISI


Author Information

Peter Sprent is Emeritus Professor of Statistics at the University of Dundee in Scotland.

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Latest Reading Guide

NOV RG 20252

 

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