國立虎尾科技大學 |

Time series data analysis in oceanography : = applications using MATLAB /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Time series data analysis in oceanography :/ Chunyan Li.
其他題名:	applications using MATLAB /
作者:	Li, Chunyan
面頁冊數:	1 online resource (xv, 465 pages) :digital, PDF file(s). :
附註:	Title from publisher's bibliographic system (viewed on 07 Apr 2022).
標題:	Time-series analysis. -
電子資源:	https://doi.org/10.1017/9781108697101
ISBN:	9781108697101 (ebook)

Time series data analysis in oceanography : = applications using MATLAB /
Li, Chunyan(Oceanographer),

Time series data analysis in oceanography :applications using MATLAB /Chunyan Li. - 1 online resource (xv, 465 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 07 Apr 2022).

Chunyan Li is a course instructor with many years of experience in teaching about time series analysis. His book is essential for students and researchers in oceanography and other subjects in the Earth sciences, looking for a complete coverage of the theory and practice of time series data analysis using MATLAB. This textbook covers the topic's core theory in depth, and provides numerous instructional examples, many drawn directly from the author's own teaching experience, using data files, examples, and exercises. The book explores many concepts, including time; distance on Earth; wind, current, and wave data formats; finding a subset of ship-based data along planned or random transects; error propagation; Taylor series expansion for error estimates; the least squares method; base functions and linear independence of base functions; tidal harmonic analysis; Fourier series and the generalized Fourier transform; filtering techniques: sampling theorems: finite sampling effects; wavelet analysis; and EOF analysis.

ISBN: 9781108697101 (ebook)Subjects--Uniform Titles:

MATLAB
--Textbooks.Subjects--Topical Terms:

528412
Time-series analysis.

LC Class. No.: GC10.4.S7 / L5 2022

Dewey Class. No.: 551.46072/7

Time series data analysis in oceanography : = applications using MATLAB /
LDR:01999nam a2200277 i 4500 001 1125391
003 UkCbUP
005 20220504172826.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 240926s2022||||enk o ||1 0|eng|d
020 $a 9781108697101 (ebook)
020 $z 9781108474276 (hardback)
035 $a CR9781108697101
040 $a UkCbUP $b eng $e rda $c UkCbUP
050 0 0 $a GC10.4.S7 $b L5 2022
082 0 0 $a 551.46072/7 $2 23
100 1 $a Li, Chunyan $c (Oceanographer), $e author. $3 1443579
245 1 0 $a Time series data analysis in oceanography : $b applications using MATLAB / $c Chunyan Li.
264 1 $a Cambridge : $b Cambridge University Press, $c 2022.
300 $a 1 online resource (xv, 465 pages) : $b digital, PDF file(s).
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Title from publisher's bibliographic system (viewed on 07 Apr 2022).
520 $a Chunyan Li is a course instructor with many years of experience in teaching about time series analysis. His book is essential for students and researchers in oceanography and other subjects in the Earth sciences, looking for a complete coverage of the theory and practice of time series data analysis using MATLAB. This textbook covers the topic's core theory in depth, and provides numerous instructional examples, many drawn directly from the author's own teaching experience, using data files, examples, and exercises. The book explores many concepts, including time; distance on Earth; wind, current, and wave data formats; finding a subset of ship-based data along planned or random transects; error propagation; Taylor series expansion for error estimates; the least squares method; base functions and linear independence of base functions; tidal harmonic analysis; Fourier series and the generalized Fourier transform; filtering techniques: sampling theorems: finite sampling effects; wavelet analysis; and EOF analysis.
630 0 0 $a MATLAB $v Textbooks. $3 839477
650 0 $a Time-series analysis. $3 528412
650 0 $a Oceanography $x Statistical methods. $3 1404998
776 0 8 $i Print version: $z 9781108474276
856 4 0 $u https://doi.org/10.1017/9781108697101