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Introduction to the Mathematical and...

Bierens, Herman J.

Introduction to the Mathematical and Statistical Foundations of Econometrics.[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:	Introduction to the Mathematical and Statistical Foundations of Econometrics.
作者:	Bierens, Herman J.
其他作者:	Gourieroux, Christian.
出版者:	Cambridge : : Cambridge University Press,, 2004.
面頁冊數:	345 p.
標題:	Econometrics.
ISBN:	9780511754012 (electronic bk.)
ISBN:	9780521834315 (print)
內容註:	Cover; Half-title; Series-title; Title; Copyright; Contents; Preface; 1 Probability and Measure; 2 Borel Measurability, Integration, and Mathematical Expectations; 3 Conditional Expectations; 4 Distributions and Transformations; 5 The Multivariate Normal Distribution and Its Application to Statistical Inference; 6 Modes of Convergence; 7 Dependent Laws of Large Numbers and Central Limit Theorems; 8 Maximum Likelihood Theory; Appendix I – Review of Linear Algebr; Appendix II – Miscellaneous Mathematics; Appendix III – A Brief Review of Complex Analysis; Appendix IV – Tables of Critical Values
摘要、提要註:	Intended for use in a rigorous introductory PhD level course in econometrics, or a field course in econometric theory, this book covers the measure-theoretical foundation of probability theory, the multivariate normal distribution with its application to classical linear regression analysis, various laws of large numbers, and more.
電子資源:	Click here to view book

Introduction to the Mathematical and Statistical Foundations of Econometrics.[electronic resource].
Bierens, Herman J.

Introduction to the Mathematical and Statistical Foundations of Econometrics.[electronic resource]. - Cambridge :Cambridge University Press,2004. - 345 p.

Cover; Half-title; Series-title; Title; Copyright; Contents; Preface; 1 Probability and Measure; 2 Borel Measurability, Integration, and Mathematical Expectations; 3 Conditional Expectations; 4 Distributions and Transformations; 5 The Multivariate Normal Distribution and Its Application to Statistical Inference; 6 Modes of Convergence; 7 Dependent Laws of Large Numbers and Central Limit Theorems; 8 Maximum Likelihood Theory; Appendix I – Review of Linear Algebr; Appendix II – Miscellaneous Mathematics; Appendix III – A Brief Review of Complex Analysis; Appendix IV – Tables of Critical Values

Intended for use in a rigorous introductory PhD level course in econometrics, or a field course in econometric theory, this book covers the measure-theoretical foundation of probability theory, the multivariate normal distribution with its application to classical linear regression analysis, various laws of large numbers, and more.

Electronic reproduction.

Available via World Wide Web.

Mode of access: World Wide Web.

ISBN: 9780511754012 (electronic bk.)Subjects--Topical Terms:

186734
Econometrics.
Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: HB139 .B527 2004eb

Dewey Class. No.: 330.015195

Introduction to the Mathematical and Statistical Foundations of Econometrics.[electronic resource].
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100 1 $a Bierens, Herman J. $3 567762
245 1 0 $a Introduction to the Mathematical and Statistical Foundations of Econometrics. $h [electronic resource].
260 $a Cambridge : $b Cambridge University Press, $c 2004.
300 $a 345 p.
505 0 $a Cover; Half-title; Series-title; Title; Copyright; Contents; Preface; 1 Probability and Measure; 2 Borel Measurability, Integration, and Mathematical Expectations; 3 Conditional Expectations; 4 Distributions and Transformations; 5 The Multivariate Normal Distribution and Its Application to Statistical Inference; 6 Modes of Convergence; 7 Dependent Laws of Large Numbers and Central Limit Theorems; 8 Maximum Likelihood Theory; Appendix I – Review of Linear Algebr; Appendix II – Miscellaneous Mathematics; Appendix III – A Brief Review of Complex Analysis; Appendix IV – Tables of Critical Values
505 8 $a ReferencesIndex
520 $a Intended for use in a rigorous introductory PhD level course in econometrics, or a field course in econometric theory, this book covers the measure-theoretical foundation of probability theory, the multivariate normal distribution with its application to classical linear regression analysis, various laws of large numbers, and more.
533 $a Electronic reproduction. $n Available via World Wide Web.
538 $a Mode of access: World Wide Web.
650 4 $a Econometrics. $3 186734
655 7 $a Electronic books. $2 local $3 336502
700 1 $a Gourieroux, Christian. $3 567763
700 1 $a Phillips, Peter C. B. $3 566410
700 1 $a Wickens, Michael. $3 567764
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