Cover image for Basic data analysis for time series with R
Title:
Basic data analysis for time series with R
Author:
Derryberry, DeWayne R., author.
ISBN:
9781118593233

9781118593370

9781118422540

9781322007595
Physical Description:
1 online resource (587 pages) : illustrations
Abstract:
"This book emphasizes the collaborative analysis of data that is used to collect increments of time or space. Written at a readily accessible level, but with the necessary theory in mind, the author uses frequency- and time-domain and trigonometric regression as themes throughout the book. The content includes modern topics such as wavelets, Fourier series, and Akaike's Information Criterion (AIC), which is not typical of current-day "classics." Applications to a variety of scientific fields are showcased. Exercise sets are well crafted with the express intent of supporting pedagogy through recognition and repetition. R subroutines are employed as the software and graphics tool of choice. Brevity is a key component to the retention of the subject matter. The book presumes knowledge of linear algebra, probability, data analysis, and basic computer programming"-- Provided by publisher.
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