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008			101115s1997 enk o 000 0 eng d
020			_a9781849508247 (electronic bk.) : _c£63.95 ; €92.95 ; $99.95
040			_aUtOrBLW _cUtOrBLW
050		4	_aHB139 _b.A67 1997
072		7	_aKCH _2bicssc
072		7	_aECO _2bicssc
072		7	_aBUS021000 _2bisacsh
072		7	_aSCI034000 _2bisacsh
080			_a330.43
082	0	4	_a330.015195 _222
245	0	0	_aApplying maximum entropy to econometric problems _h[electronic resource] / _cedited by R. Carter Hill.
260			_aBingley, U.K. : _bEmerald, _c1997.
300			_a1 online resource (xii, 358 p.).
490	1		_aAdvances in econometrics, _x0731-9053 ; _vv. 12
505	0		_aInformation theoretic methods for categorical data : dedicated to the memory of Solomon Kullback 1907-1994 / D.V. Gokhale -- Model selection by maximum entropy / Jan G. De Gooijer -- Maximum-entropy acceptable-likelihood estimation of population heterogeneity / Peter S. Faynzilberg -- A monte carlo study of a generalized maximum entropy estimator of the binary choice model / Lee Adkins -- constructing a unimodal bayesian prior distribution from incompletely assessed information / Kwang H. Paick -- Recovering wastewater treatment objectives : an application of entropy estimation for inverse control problems / Linda Fernandez -- Dart boards and asset prices : Introducing the entropy pricing theory / Les Gulko -- Information theoretic regression methods : Dedicated to the memory of Solomon Kullback 1907-1994 / Ehsan S. Soofi -- Maximum entropy and derivative securities / Raymond J. Hawkins -- The maximum entropy approach to estimation and inference : an overview / Douglas Miller -- Forecasting the production benefits and incidence of a public program : an integrated survey and estimation procedure applied to study the california irrigation management information system / David Zilberman -- Another perspective on recent changes in the U.S. income distribution : an index space representation / Daniel J. Slottje -- Omnibus tests for multivariate normality based on a class of maximum entropy distributions / Carlos M. Urzua -- The Bayesian method of moments (BMOM) : theory and applications / Arnold Zellner.
520			_aThe entropy concept was developed and used by Shannon in 1940 as a measure of uncertainty in the context of information theory. In 1957 Jaynes made use of Shannon's entropy concept as a basis for estimation and inference in problems that are ill-suited for traditional statistical procedures. This volume consists of two sections. The first section contains papers developing econometric methods based on the entropy principle. An interesting array of applications is presented in the second section of the volume.
588	0		_aPrint version record
650		7	_aBusiness & Economics _xEconometrics. _2bisacsh
650		7	_aScience _xHistory. _2bisacsh
650		7	_aEconometrics. _2bicssc
650		0	_aEconometrics.
700	1		_aHill, R. Carter.
700	1		_aFomby, Thomas B.
776	1		_z9780762301874
830		0	_aAdvances in econometrics ; _vv. 12.
856	4	0	_uhttps://www.emerald.com/insight/publication/doi/10.1108/S0731-9053(1997)12
913			_1BMEbacklist
999			_c32206 _d32206