Applied Time Series Analysis with R - Woodward, Wayne A. (Southern Methodist University, Dallas, Texas, USA) - 書籍 - Taylor & Francis Inc - 9781498734226 - 2016年12月20日
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Applied Time Series Analysis with R 第2 版

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発送予定日 年10月27日 - 年11月12日
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Virtually any random process developing chronologically can be viewed as a time series. In economics closing prices of stocks, the cost of money, the jobless rate, and retail sales are just a few examples of many. Developed from course notes and extensively classroom-tested, Applied Time Series Analysis with R, Second Edition includes examples across a variety of fields, develops theory, and provides an R-based software package to aid in addressing time series problems in a broad spectrum of fields. The material is organized in an optimal format for graduate students in statistics as well as in the natural and social sciences to learn to use and understand the tools of applied time series analysis.

Features

Gives readers the ability to actually solve significant real-world problems Addresses many types of nonstationary time series and cutting-edge methodologies Promotes understanding of the data and associated models rather than viewing it as the output of a "black box" Provides the R package tswge available on CRAN which contains functions and over 100 real and simulated data sets to accompany the book. Extensive help regarding the use of tswge functions is provided in appendices and on an associated website. Over 150 exercises and extensive support for instructors

The second edition includes additional real-data examples, uses R-based code that helps students easily analyze data, generate realizations from models, and explore the associated characteristics. It also adds discussion of new advances in the analysis of long memory data and data with time-varying frequencies (TVF).


630 pages, 200 black & white illustrations

メディア 書籍     Hardcover Book   (ハードカバー付きの本)
リリース済み 2016年12月20日
ISBN13 9781498734226
出版社 Taylor & Francis Inc
ページ数 618
寸法 320 × 168 × 44 mm   ·   1,03 kg
言語 英語  

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