大葉大學圖書館 |

Applying maximum entropy to econometric problems[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	330.015195
書名/作者:	Applying maximum entropy to econometric problems/ edited by R. Carter Hill.
其他作者:	Hill, R. Carter.
出版者:	Bingley, U.K. : : Emerald,, 1997.
面頁冊數:	1 online resource (xii, 358 p.).
標題:	Business & Economics - Econometrics.
標題:	Science - History.
標題:	Econometrics.
ISBN:	9781849508247 (electronic bk.)
ISBN:	9780762301874 (hbk.)
內容註:	Information 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 montecarlo 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 ofentropy 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.
摘要、提要註:	The 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 andinference 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.
電子資源:	http://www.emeraldinsight.com/0731-9053/12

Applying maximum entropy to econometric problems[electronic resource] /
Applying maximum entropy to econometric problems[electronic resource] /edited by R. Carter Hill. - Bingley, U.K. :Emerald,1997. - 1 online resource (xii, 358 p.). - Advances in econometrics,v. 120731-9053 ;. - Advances in econometrics ;v. 12..

Information 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 montecarlo 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 ofentropy 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.

The 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 andinference 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.

ISBN: 9781849508247 (electronic bk.)Subjects--Topical Terms:

400580
Business & Economics
--Econometrics.

LC Class. No.: HB139 / .A67 1997

Dewey Class. No.: 330.015195

Universal Decimal Class. No.: 330.43

Applying maximum entropy to econometric problems[electronic resource] /
LDR:02948nam a2200313Ka 4500 001 350844
003 OrBLW
005 20101115152719.0
006 d
007 un|||||||||
008 111228s1997 enk s 000 0 eng d
020 $a 9781849508247 (electronic bk.)
020 $a 9780762301874 (hbk.)
035 $a 000022
040 $a UtOrBLW $c UtOrBLW
041 0 $a eng
050 4 $a HB139 $b .A67 1997
072 7 $a KCH $2 bicssc
072 7 $a ECO $2 bicssc
072 7 $a BUS021000 $2 bisacsh
072 7 $a SCI034000 $2 bisacsh
080 $a 330.43
082 0 4 $a 330.015195 $2 22
245 0 0 $a Applying maximum entropy to econometric problems $h [electronic resource] / $c edited by R. Carter Hill.
260 $a Bingley, U.K. : $b Emerald, $c 1997.
300 $a 1 online resource (xii, 358 p.).
490 1 $a Advances in econometrics, $x 0731-9053 ; $v v. 12
505 0 $a Information 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 montecarlo 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 ofentropy 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 $a The 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 andinference 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.
650 7 $a Business & Economics $x Econometrics. $2 bisacsh $3 400580
650 7 $a Science $x History. $3 370616
650 7 $a Econometrics. $3 186734
700 1 $a Hill, R. Carter. $3 400741
700 1 $a Fomby, Thomas B. $3 400742
830 0 $a Advances in econometrics ; $v v. 12. $3 400743
856 4 0 $u http://www.emeraldinsight.com/0731-9053/12