000			a
999			_c32183 _d32183
008			231009b xxu||||| |||| 00| 0 eng d
020			_a9780323955768
082			_a363.70015118 _bMEN
100			_aMenke, William
245			_aEnvironmental data analysis with MATLAB or Python : principles, applications, and prospects
250			_a3rd ed.
260			_b Academic Press, _c2022 _aAmsterdam :
300			_axix, 444 p. ; _bill., _c25 cm.
365			_b120.00 _cUSD _d86.10
504			_aIncludes bibliographical references and index.
520			_aEnvironmental Data Analysis with MATLAB, Third Edition, is a new edition that expands fundamentally on the original with an expanded tutorial approach, more clear organization, new crib sheets, and problem sets providing a clear learning path for students and researchers working to analyze real data sets in the environmental sciences. The work teaches the basics of the underlying theory of data analysis and then reinforces that knowledge with carefully chosen, realistic scenarios, including case studies in each chapter. The new edition is expanded to include applications to Python, an open source software environment.
650			_aWindow function
650			_aProbability density function
650			_aPower spectral density
650			_aGaussian process regression
650			_aFourier transform
650			_aNull Hypothesis
650			_aNeuse River
650			_aModel parameters
650			_aData analysis
650			_aCovariance matrix
650			_aColumn-vector
942			_2ddc _cBK