Data Analysis
Author:   D.S. Sivia
Publisher:   Oxford University Press
ISBN:  

9780198518891


Pages:   189
Publication Date:   01 July 1996
Format:   Paperback
Availability:   To order   Availability explained
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Data Analysis


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Overview

Statistics lectures have often been viewed with trepidation by engineering and science students taking an ancillary course in this subject. Whereas there are many texts showing 'how' statistical methods are applied, until now there has been no textbook for non-statisticians providing a clear explanation of the underlying principles of data analysis. Data Analysis: A Bayesian Tutorial provides such a text, putting emphasis as much on understanding 'why' and 'when' certain statistical procedures should be used as 'how'. This difference in approach makes the text ideal as a tutorial guide for senior undergraduates and research students, in science and engineering.

Full Product Details

Author:   D.S. Sivia
Publisher:   Oxford University Press
Imprint:   Clarendon Press
Dimensions:   Width: 15.60cm , Height: 1.10cm , Length: 23.40cm
Weight:   0.307kg
ISBN:  

9780198518891


ISBN 10:   0198518897
Pages:   189
Publication Date:   01 July 1996
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

1. The basics; 2. Parameter Estimation I; 3. Parameter Estimation II; 4. Model Selection; 5. Assigning Probabilities; 6. Non-parametric Estimation; 7. Experimental Design; Appendix

Reviews

""" ... this book takes the mystery out of statistics by providing a clear rationale for some of the most widely-used procedures."" Zeitscrift fur Kristallographie"


... this book takes the mystery out of statistics by providing a clear rationale for some of the most widely-used procedures. Zeitscrift fur Kristallographie


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