Зарегистрироваться
Восстановить пароль
FAQ по входу

Coghlan A. A Little Book of R for Time Series

  • Файл формата pdf
  • размером 388,43 КБ
  • Добавлен пользователем
  • Описание отредактировано
Coghlan A. A Little Book of R for Time Series
University College Cork – 2011, Release 0.1, 75 pages
This is a simple introduction to time series analysis using the R statistics software.
How to install R
Introduction to R
Installing R
Installing R packages
Running R
A brief introduction to R
Links and Further Reading
Acknowledgements
Contact
License
Using R for Time Series Analysis
Time Series Analysis
Reading Time Series Data
Plotting Time Series
Decomposing Time Series
Forecasts using Exponential Smoothing
ARIMA Models
Links and Further Reading
Acknowledgements
Contact
License
Acknowledgements
Contact
License
  • Чтобы скачать этот файл зарегистрируйтесь и/или войдите на сайт используя форму сверху.
  • Регистрация

Смотри также

Подробнее

Adler J. R in a Nutshell

  • pdf
2nd edition. — O’Reilly Media, 2012. — 724 p. — ISBN: 144931208X, 9781449312084. If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare,...
  • 13,81 МБ
  • добавлен
  • описание отредактировано
Подробнее

Chan N.H. Time Series: Applications to Finance with R and S-Plus

  • pdf
Publisher: Wiley | 2010 | ISBN10: 0470583622 | 316 pages A new edition of the comprehensive, hands-on guide to financial time series, now featuring S-Plus and R software. Time Series: Applications to Finance with R and S-Plus, Second Edition is designed to present an in-depth introduction to the conceptual underpinnings and modern ideas of time series analysis. Utilizing...
  • 11,08 МБ
  • добавлен
  • описание отредактировано
Подробнее

Chang W. R Graphics Cookbook

  • pdf
O’Reilly Media – 2013, 416 pages ISBN: 1449316956, 9781449316952 This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe...
  • 62,85 МБ
  • добавлен
  • описание отредактировано
Подробнее

Cowpertwait P.S.P., Metcalfe A. Introductory Time Series with R

  • pdf
Springer, 2009. — 262 p. — ISBN 978-0-387-88697-8 This book gives you a step-by-step introduction to analysing time series using the open source software R. Once the model has been introduced it is used to generate synthetic data, using R code, and these generated data are then used to estimate its parameters. This sequence confirms understanding of both the model and the R...
  • 5,74 МБ
  • добавлен
  • описание отредактировано
Подробнее

Cryer J.D., Chan Kung-Sik. Time Series Analysis: With Applications in R (+Solutions Manual)

  • pdf
Second Edition. — Springer, 2008. — (501 + 305) p. — ISBN 0387759586. The book was developed for a one-semester course usually attended by students in statistics, economics, business, engineering, and quantitative social sciences. Basic applied statistics through multiple linear regression is assumed. Calculus is assumed only to the extent of minimizing sums of squares, but a...
  • 8,10 МБ
  • дата добавления неизвестна
  • описание отредактировано
Подробнее

Tufféry S. Data Mining and Statistics for Decision Making

  • pdf
Wiley – 2011, 704 pages ISBN: 0470688297, 9780470688298 Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need...
  • 6,18 МБ
  • добавлен
  • описание отредактировано
Наверх