Data Analysis
Seiten
1996
Clarendon Press (Verlag)
978-0-19-851889-1 (ISBN)
Clarendon Press (Verlag)
978-0-19-851889-1 (ISBN)
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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'.
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.
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.
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
| Erscheint lt. Verlag | 25.7.1996 |
|---|---|
| Zusatzinfo | halftones, line figures, tables |
| Verlagsort | Oxford |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Analysis |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| ISBN-10 | 0-19-851889-7 / 0198518897 |
| ISBN-13 | 978-0-19-851889-1 / 9780198518891 |
| Zustand | Neuware |
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