000 03827cam a2200469Ki 4500
001 ocn951966622
003 OCoLC
005 20190328114815.0
006 m o d
007 cr cnu---unuuu
008 160621s2016 ne a ob 001 0 eng d
010 _a 2017286036
040 _aOPELS
_beng
_erda
_epn
_cOPELS
_dOCLCO
_dVT2
_dWYU
019 _a1005838402
_a1008955023
_a1066580888
020 _a9780128045503
_q(electronic bk.)
020 _a0128045507
_q(electronic bk.)
020 _z9780128044889
020 _z0128044888
035 _a(OCoLC)951966622
_z(OCoLC)1005838402
_z(OCoLC)1008955023
_z(OCoLC)1066580888
050 4 _aGE45.M37
_bM46 2016eb
082 0 4 _a363.7/0015118
_223
100 1 _aMenke, William,
_eauthor.
245 1 0 _aEnvironmental data analysis with MatLab /
_h[electronic resource]
_cWilliam Menke, Joshua Menke.
250 _a2nd ed.
264 1 _aAmsterdam :
_bElsevier Academic Press,
_c[2016].
300 _a1 online resource (xvii, 321 pages) :
_billustrations.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
504 _aIncludes bibliographical references and index
520 _aEnvironmental Data Analysis with MatLab is a new edition that expands fundamentally on the original with an expanded tutorial approach, 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. Since publication of the bestselling Environmental Data Analysis with MATLAB�i�A�, many advances have been made in environmental data analysis. One only has to consider the global warming debate to realize how critically important it is to be able to derive clear conclusions from often noisy data drawn from a broad range of sources. The work teaches the basics of the underlying theory of data analysis and then reinforces that knowledge with carefully chosen, realistic scenarios. MATLAB�i�A�, a commercial data processing environment, is used in these scenarios. Significant content is devoted to teaching how it can be effectively used in an environmental data analysis setting. This new edition, though written in a self-contained way, is supplemented with data and MATLAB�i�A� scripts that can be used as a data analysis tutorial. New features include boxed crib sheets to help identify major results and important formulas and give brief advice on how and when they should be used. Numerical derivatives and integrals are derived and illustrated. Includes log-log plots with further examples of their use. Discusses new datasets on precipitation and stream flow. Topical enhancement applies the chi-squared test to the results of the generalized least squares method. New coverage of cluster analysis and approximation techniques that are widely applied in data analysis, including Taylor Series and low-order polynomial approximations; non-linear least-squares with Newton's method;and pre-calculation and updating techniques applicable to real time data acquisition.
588 0 _aPrint version record.
650 0 _aEnvironmental sciences
_xMathematical models.
650 0 _aEnvironmental sciences
_xData processing.
650 7 _aEnvironmental sciences
_xData processing.
_2fast
_0(OCoLC)fst00913482
650 7 _aEnvironmental sciences
_xMathematical models.
_2fast
_0(OCoLC)fst00913495
655 4 _aElectronic books.
655 0 _aElectronic book.
700 1 _aMenke, Joshua E.
_q(Joshua Ephraim),
_d1976-
_eauthor.
776 0 8 _iPrint version:
_aMenke, William.
_tEnvironmental data analysis with MatLab.
_bSecond Edition.
_dAmsterdam : Elsevier Academic Press, [2016]
_z9780128044889
_w(OCoLC)944467274
856 4 0 _3ScienceDirect
_uhttp://www.sciencedirect.com/science/book/9780128044889
999 _c247353
_d247353