| 书目名称 | Climate Time Series Analysis |
| 副标题 | Classical Statistica |
| 编辑 | Manfred Mudelsee |
| 视频video | |
| 概述 | Introduces the bootstrap approach, which relies on modern computer power, for extracting quantitative climatological information.Describes software implementation of the methods and supplies real-worl |
| 丛书名称 | Atmospheric and Oceanographic Sciences Library |
| 图书封面 |  |
| 描述 | .Climate is a paradigm of a complex system. Analysing climate data is an exciting challenge, which is increased by non-normal distributional shape, serial dependence, uneven spacing and timescale uncertainties. This book presents bootstrap resampling as a computing-intensive method able to meet the challenge. It shows the bootstrap to perform reliably in the most important statistical estimation techniques: regression, spectral analysis, extreme values and correlation..This book is written for climatologists and applied statisticians. It explains step by step the bootstrap algorithms (including novel adaptions) and methods for confidence interval construction. It tests the accuracy of the algorithms by means of Monte Carlo experiments. It analyses a large array of climate time series, giving a detailed account on the data and the associated climatological questions..“…..comprehensive mathematical and statistical summary of time-series analysis techniques geared towards climate applications…accessible to readers with knowledge of college-level calculus and statistics..” (Computers and Geosciences).“.A key part of the book that separates it from other time series works is the explici |
| 出版日期 | Book 2014Latest edition |
| 关键词 | Atmospheric Sciences; Climatic Regression; Correlation Statistics; Frequency Analysis; Weather and Stati |
| 版次 | 2 |
| doi | https://doi.org/10.1007/978-3-319-04450-7 |
| isbn_softcover | 978-3-319-37448-2 |
| isbn_ebook | 978-3-319-04450-7Series ISSN 1383-8601 Series E-ISSN 2215-162X |
| issn_series | 1383-8601 |
| copyright | Springer International Publishing Switzerland 2014 |
发表于 2025-3-21 19:42:51
