| 书目名称 | Probability and Statistics in Experimental Physics |
| 编辑 | Byron P. Roe |
| 视频video | |
| 丛书名称 | Undergraduate Texts in Contemporary Physics |
| 图书封面 |  |
| 描述 | Intended for advanced undergraduates and graduate students, this book is a practical guide to the use of probability and statistics in experimental physics. The emphasis is on applications and understanding, on theorems and techniques actually used in research. The text is not a comprehensive text in probability and statistics; proofs are sometimes omitted if they do not contribute to intuition in understanding the theorem. The problems, some with worked solutions, introduce the student to the use of computers; occasional reference is made to routines available in the CERN library, but other systems, such as Maple, can also be used. Topics covered include: basic concepts; definitions; some simple results independent of specific distributions; discrete distributions; the normal and other continuous distributions; generating and characteristic functions; the Monte Carlo method and computer simulations; multi-dimensional distributions; the central limit theorem; inverse probability and confidence belts; estimation methods; curve fitting and likelihood ratios; interpolating functions; fitting data with constraints; robust estimation methods. This second edition introduces a new method |
| 出版日期 | Textbook 2001Latest edition |
| 关键词 | Binomial distribution; Curve fitting; Experiment; Experimental Physics; Fitting; Maple; Measure; Monte Carl |
| 版次 | 2 |
| doi | https://doi.org/10.1007/978-1-4684-9296-5 |
| isbn_softcover | 978-1-4419-2895-5 |
| isbn_ebook | 978-1-4684-9296-5 |
| copyright | Springer-Verlag New York 2001 |
发表于 2025-3-21 17:47:12
