Authors | |
Publisher | Springer, Berlin |
Year | |
Pages | 491 |
Version | paperback |
Language | English |
ISBN | 9781441926135 |
Categories | Probability & statistics |
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. Script files of R commands for each chapter are available for download