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.
Time Series Analysis: With Applications in R (Springer Texts in Statistics)
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Book Details
Author(s)Jonathan D. Cryer, Kung-Sik Chan,
PublisherSpringer
ISBN / ASIN1441926135
ISBN-139781441926135
Sales Rank661,569
CategoryMathematics
MarketplaceUnited States 🇺🇸
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