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210123 ||| eng |
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|a 9781118422540
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|a 9781322007595
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|a 1118422546
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|a 1118593375
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|a 1118593367
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|a 1322007594
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|a 9781118593233
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|a 9781118593370
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|a 1118593235
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|a 9781118593363
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| 050 |
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4 |
|a QA280
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| 100 |
1 |
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|a Derryberry, DeWayne R.
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| 245 |
0 |
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|a Basic data analysis for time series with R
|c DeWayne R. Derryberry, Department of Mathematics and Statistics, Idaho State University, Voise, ID.
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| 260 |
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|a Hoboken, New Jersey
|b John Wiley & Sons, Inc.
|c 2014
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| 300 |
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|a 1 online resource
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| 505 |
0 |
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|a Includes bibliographical references and index
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| 653 |
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|a R (Langage de programmation)
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| 653 |
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|a Time-series analysis / Data processing / fast
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| 653 |
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|a Time-series analysis / Data processing
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| 653 |
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|a R (Computer program language) / fast
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| 653 |
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|a Anàlisi de sèries temporals / thub
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| 653 |
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|a MATHEMATICS / Probability & Statistics / General / bisacsh
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| 653 |
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|a R (Llenguatge de programació) / thub
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| 653 |
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|a R (Computer program language) / http://id.loc.gov/authorities/subjects/sh2002004407
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| 653 |
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|a Série chronologique / Informatique
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| 653 |
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|a Processament de dades / thub
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 776 |
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|z 9781118422540
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| 776 |
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|z 1118422546
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| 856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781118593363/?ar
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 510
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| 082 |
0 |
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|a 001.4/2202855133
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| 082 |
0 |
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|a 519.5
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| 520 |
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|a "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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| 520 |
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|a "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"--
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