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Data Analysis D.S. Sivia

Data Analysis By D.S. Sivia

Data Analysis by D.S. Sivia


$11.99
Condition - Very Good
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Summary

This volume provides a clear explanation for non-statisticians of how the principles of data analysis can be based on probability theory. 'Data Analysis: A Bayesian Tutorial puts emphasis as much on understanding 'why' and 'when' certain statistical procedures should be used as 'how'.

Data Analysis Summary

Data Analysis: A Bayesian Tutorial by D.S. Sivia

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.

Data Analysis 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

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

Additional information

GOR003817400
9780198518891
0198518897
Data Analysis: A Bayesian Tutorial by D.S. Sivia
Used - Very Good
Paperback
Oxford University Press
19960725
189
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

Customer Reviews - Data Analysis