Statistical data analysis for the physical sciences (Record no. 1162)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02063 a2200205 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250416173132.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240426b2013|||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781107670341 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | English |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.50245 B48 |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Bevan, Adrian |
| Relator term | Author |
| 245 ## - TITLE STATEMENT | |
| Title | Statistical data analysis for the physical sciences |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher | Cambridge University Press, |
| Year of publication | 2013. |
| Place of publication | United Kingdom: |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xi, 220p.; 23cms. |
| 500 ## - GENERAL NOTE | |
| General note | Data analysis lies at the heart of every experimental science. Providing a modern introduction to statistics, this book is ideal for undergraduates in physics. It introduces the necessary tools required to analyse data from experiments across a range of areas, making it a valuable resource for students. In addition to covering the basic topics, the book also takes in advanced and modern subjects, such as neural networks, decision trees, fitting techniques and issues concerning limit or interval setting. Worked examples and case studies illustrate the techniques presented, and end-of-chapter exercises help test the reader's understanding of the material.<br/><br/>Combines formal descriptions of methods with examples and case studies to illustrate how those methods may be used<br/>Includes a chapter on multivariate analysis to introduce the concept of data mining in terms of cut-based analysis, Bayesian classifiers, the Fisher discriminant, neural networks and decision trees<br/>Over 130 exercises, with solutions provided, help readers test their understanding of the subject and understand the material covered<br/><br/>Table of contents:<br/><br/>Preface<br/>1. Introduction<br/>2. Sets<br/>3. Probability<br/>4. Visualising and quantifying the properties of data<br/>5. Useful distributions<br/>6. Uncertainty and errors<br/>7. Confidence intervals<br/>8. Hypothesis testing<br/>9. Fitting<br/>10. Multivariate analysis<br/>Appendixes<br/>References<br/>Index |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Statistical data analysis |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Physical sciences |
| General subdivision | Multivariate analysis |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Visualising and quantifying the properties of data |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Full call number | Accession Number | Koha item type |
|---|---|---|---|---|---|---|---|---|---|
| Dr. S. R. Ranganathan Library | Dr. S. R. Ranganathan Library | General Stacks | 519.50245 B48 | 3183 | Books |