國立高雄大學圖資館 |

Language: English

Back

Time series data analysis in oceanographyapplications using MATLAB /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Time series data analysis in oceanographyChunyan Li.
Reminder of title:	applications using MATLAB /
Author:	Li, Chunyan.
Published:	Cambridge :Cambridge University Press,2022.
Description:	xv, 465 p. :ill., digital ;25 cm.
Notes:	Title from publisher's bibliographic system (viewed on 07 Apr 2022).
Subject:	OceanographyStatistical methods.
Online resource:	https://doi.org/10.1017/9781108697101
ISBN:	9781108697101$q(electronic bk.)

Time series data analysis in oceanographyapplications using MATLAB /
Li, Chunyan.

Time series data analysis in oceanographyapplications using MATLAB /[electronic resource] :Chunyan Li. - Cambridge :Cambridge University Press,2022. - xv, 465 p. :ill., digital ;25 cm.

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$q(electronic bk.)Subjects--Uniform Titles:

MATLAB
--Textbooks.Subjects--Topical Terms:

280998
Oceanography
--Statistical methods.

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

Dewey Class. No.: 551.460727

Time series data analysis in oceanographyapplications using MATLAB /
LDR:01847nmm a2200241 a 4500 001 626825
003 UkCbUP
005 20220504172826.0
006 m d
007 cr nn 008maaau
008 230118s2022 enk o 1 0 eng d
020 $a 9781108697101$q(electronic bk.)
020 $a 9781108474276$q(hardback)
035 $a CR9781108697101
040 $a UkCbUP $b eng $c UkCbUP $d GP
050 0 0 $a GC10.4.S7 $b L5 2022
082 0 0 $a 551.460727 $2 23
090 $a GC10.4.S7 $b L693 2022
100 1 $a Li, Chunyan. $3 906985
245 1 0 $a Time series data analysis in oceanography $h [electronic resource] : $b applications using MATLAB / $c Chunyan Li.
260 $a Cambridge : $b Cambridge University Press, $c 2022.
300 $a xv, 465 p. : $b ill., digital ; $c 25 cm.
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 436925
650 0 $a Oceanography $x Statistical methods. $3 280998
650 0 $a Time-series analysis. $3 181890
856 4 0 $u https://doi.org/10.1017/9781108697101