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Basic data analysis for time series ...

Derryberry, DeWayne R.,

Basic data analysis for time series with R[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	001.4/2202855133
書名/作者:	Basic data analysis for time series with R/ DeWayne R. Derryberry.
作者:	Derryberry, DeWayne R.,
出版者:	Hoboken, New Jersey : : John Wiley & Sons, Inc.,, 2014.
面頁冊數:	1 online resource.
標題:	Time-series analysis - Data processing.
標題:	R (Computer program language)
ISBN:	9781118593370 (pdf)
ISBN:	1118593375 (pdf)
ISBN:	9781118593363 (epub)
ISBN:	1118593367 (epub)
ISBN:	9781118593233 (electronic bk.)
ISBN:	1118593235
ISBN:	1118422546 (hardback)
ISBN:	9781118422540 (hardback)
ISBN:	9781322007595 (MyiLibrary)
ISBN:	1322007594 (MyiLibrary)
書目註:	Includes bibliographical references and index.
摘要、提要註:	"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"--
電子資源:	http://onlinelibrary.wiley.com/book/10.1002/9781118593233

Basic data analysis for time series with R[electronic resource] /
Derryberry, DeWayne R.,

Basic data analysis for time series with R[electronic resource] /DeWayne R. Derryberry. - Hoboken, New Jersey :John Wiley & Sons, Inc.,2014. - 1 online resource.

Includes bibliographical references and index.

"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"--

ISBN: 9781118593370 (pdf)

LCCN: 2014015482Subjects--Topical Terms:

607096
Time-series analysis
--Data processing.

LC Class. No.: QA280

Dewey Class. No.: 001.4/2202855133

Basic data analysis for time series with R[electronic resource] /
LDR:02582cam a2200385 i 4500 001 437560
003 OCoLC
005 20151014091935.0
006 m o d
007 cr |||||||||||
008 160125s2014 nju ob 001 0 eng
010 $a 2014015482
020 $a 9781118593370 (pdf)
020 $a 1118593375 (pdf)
020 $a 9781118593363 (epub)
020 $a 1118593367 (epub)
020 $z 9781118422540 (hardback)
020 $a 9781118593233 (electronic bk.)
020 $a 1118593235
020 $a 1118422546 (hardback)
020 $a 9781118422540 (hardback)
020 $a 9781322007595 (MyiLibrary)
020 $a 1322007594 (MyiLibrary)
035 $a (OCoLC)877564736 $z (OCoLC)891384241 $z (OCoLC)904769495
035 $a ocn877564736
040 $a DLC $b eng $c DLC $d YDX $d EBLCP $d CUS $d YDXCP $d N $d IDEBK $d DEBSZ $d DG1 $d OCLCF $d CDX $d RECBK $d COO $d B24X7 $d S4S $d E7B $d UMI $d DEBBG
050 0 0 $a QA280
082 0 0 $a 001.4/2202855133 $2 23
100 1 $a Derryberry, DeWayne R., $3 624197
245 1 0 $a Basic data analysis for time series with R $h [electronic resource] / $c DeWayne R. Derryberry.
260 $a Hoboken, New Jersey : $b John Wiley & Sons, Inc., $c 2014.
300 $a 1 online resource.
504 $a Includes bibliographical references and index.
520 $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"-- $c Provided by publisher.
520 $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"-- $c Provided by publisher.
588 $a Description based on print version record and CIP data provided by publisher.
650 0 $a Time-series analysis $x Data processing. $3 607096
650 0 $a R (Computer program language) $3 465792
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9781118593233

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