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008 110328s2011 njua sb 001 0 eng d
010 _z 2011013569
020 _z9780470467039
020 _z9781118109625 (e-book)
035 _a(CaPaEBR)ebr10521333
035 _a(NNC)10139589
040 _aCaPaEBR
_cCaPaEBR
050 1 4 _aQA279
_b.T49 2011eb
082 0 4 _a519.57
_223
100 1 _aThompson, James R.
_q(James Robert),
_d1938-
245 1 0 _aEmpirical model building: data, models, and reality
_bdata, models, and reality
_cJames R. Thompson
250 _a2nd ed.
260 _aHoboken, N.J. :
_bJohn Wiley & Sons,
_cc2011.
300 _axvii, 430 p. :
_bill.
_c25 cm.
490 1 _aWiley series in probability and statistics ;
_v794
500 _a1. Experimental design. 2. Mathematical models. 3. Mathematical statistics.
504 _aIncludes bibliographical references and index.
520 _a"This book presents a hands-on approach to the basic principles of empirical model building through the shrewd mixture of differential equations, computer-intensive methods, and data in a single-volume. It includes a series of real-world statistical problems illustrating modeling skills and techniques that are applicable to a broad range of audiences from applied statisticians to practicing MBAs. It covers models of growth and decay, systems where competition and interaction add to the complexity of the model, and discusses both classical and non-classical data analysis methods, alongside an extended list of more than twenty essential topics. The author also includes numerous exercises, an emphasis on computational finance and Bayesian techniques, and timely discussions of epidemics, quality control, and chaos in a dynamic world"--
533 _aElectronic reproduction.
_bPalo Alto, Calif. :
_cebrary,
_d2012.
_nAvailable via World Wide Web.
_nAccess may be limited to ebrary affiliated libraries.
650 0 _aExperimental design.
650 0 _aMathematical models.
650 0 _aMathematical statistics.
655 7 _aElectronic books.
_2local
710 2 _aebrary, Inc.
830 0 _aWiley series in probability and statistics ;
_v794.
856 4 0 _uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio10139589
_zClick here for full text.
942 _2ddc
_cBK
999 _c11933
_d11933