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First publish date: 2009
Authors: Paul S. P. Cowpertwait
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Introductory time series with R by Paul S. P. Cowpertwait

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Books similar to Introductory time series with R (4 similar books)

Time series analysis by 11607455|Jonathan D. Cryer book cover

📘 Time series analysis
 by Jonathan D. Cryer

This book has been developed for a one-semester course usually attended by students in statistics, economics, business, engineering, and quantitative social sciences. A unique feature of this edition is its integration with the R computing environment. Basic applied statistics is assumed through multiple regression. Calculus is assumed only to the extent of minimizing sums of squares but a calculus-based introduction to statistics is necessary for a thorough understanding of some of the theory. Actual time series data drawn from various disciplines are used throughout the book to illustrate the methodology.

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All of Statistics by 6970343|Larry Wasserman book cover

📘 All of Statistics
 by Larry Wasserman


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Introduction to time series and forecasting by 8010556|Peter J. Brockwell book cover

📘 Introduction to time series and forecasting
 by Peter J. Brockwell

A practical guide to time‑series theory and forecasting, emphasizing model construction and data analysis for readers with a foundation in calculus, matrix algebra, and elementary statistics.

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Time series models by 11636495|A. C. Harvey book cover

📘 Time series models
 by A. C. Harvey


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Some Other Similar Books

Time Series Analysis and Its Applications: With R Examples by Robert H. Shumway, David S. Stoffer
Forecasting: principles and practice by Rob J. Hyndman, George Athanasopoulos
Applied Time Series Analysis by Walter Enders
Time Series Analysis: With Applications in R by Jonathan D. Cryer, Kung-Sik Chan
The Analysis of Time Series: An Introduction by Chris Chatfield
Time Series Econometrics: A Concise Introduction by Terence C. Mills
Practical Time Series Forecasting with R: A Hands-On Guide by Galit Shmueli, Kenneth C. Lichtendahl Jr.
Bayesian Methods for the Analysis of Time Series by Andrew P. Pitt, Mitchell H. Osborne
Time Series Analysis and Forecasting by Example by Steve Millross

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