| 书目名称 | Statistics and Analysis of Scientific Data |
| 编辑 | Massimiliano Bonamente |
| 视频video | |
| 概述 | Includes numerical tables of data for critical distribution functions, making the textbook a self-contained guide for students.Covers the theory and practice of Monte Carlo Markov chains, a leading to |
| 丛书名称 | Graduate Texts in Physics |
| 图书封面 |  |
| 描述 | .Statistics and Analysis of Scientific Data .covers the foundations of probability theory and statistics, and a number of numerical and analytical methods that are essential for the present-day analyst of scientific data. Topics covered include probability theory, distribution functions of statistics, fits to two-dimensional datasheets and parameter estimation, Monte Carlo methods and Markov chains. Equal attention is paid to the theory and its practical application, and results from classic experiments in various fields are used to illustrate the importance of statistics in the analysis of scientific data. .The main pedagogical method is a theory-then-application approach, where emphasis is placed first on a sound understanding of the underlying theory of a topic, which becomes the basis for an efficient and proactive use of the material for practical applications. The level is appropriate for undergraduates and beginning graduate students, and as a reference for the experienced researcher. Basic calculus is used in some of the derivations, and no previous background in probability and statistics is required. The book includes many numerical tables of data, as well as exercises an |
| 出版日期 | Textbook 20131st edition |
| 关键词 | 2-variable dataset; Monte Carlo Markov chain methods; Probability and applied statistics textbook; data |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4614-7984-0 |
| isbn_softcover | 978-1-4899-9480-6 |
| isbn_ebook | 978-1-4614-7984-0Series ISSN 1868-4513 Series E-ISSN 1868-4521 |
| issn_series | 1868-4513 |
| copyright | Springer Science+Busines Media New York 2013 |
发表于 2025-3-21 17:41:25
