Basic data analysis for time series with R /
"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...
Κύριος συγγραφέας: | |
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Μορφή: | Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Hoboken, New Jersey :
John Wiley & Sons, Inc.,
[2014]
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Περίληψη: | "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"-- "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"-- |
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Φυσική περιγραφή: | 1 online resource |
Βιβλιογραφία: | Includes bibliographical references and index. |
ISBN: | 9781118593370 1118593375 9781118593363 1118593367 9781118593233 1118593235 1118422546 9781118422540 9781322007595 1322007594 |
DOI: | 10.1002/9781118593233 |