Verfügbarkeit: Introduction to the mathematical and statistical foundations of econometrics /

Introduction to the mathematical and statistical foundations of econometrics /:

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...

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Bibliographische Detailangaben
1. Verfasser:	Bierens, Herman J., 1943-
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Cambridge, UK ; New York : Cambridge University Press, 2005.
Schriftenreihe:	Themes in modern econometrics.
Schlagworte:	Econometrics. Économétrie. BUSINESS & ECONOMICS > Econometrics. BUSINESS & ECONOMICS > Statistics. Econometrics Electronic books.
Online-Zugang:	Volltext
Zusammenfassung:	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.
Beschreibung:	1 online resource (xvii, 323 pages) : illustrations
Bibliographie:	Includes bibliographical references (pages 315-316) and index.
ISBN:	0511080417 9780511080418 0511121695 9780511121692 0511079656 9780511079658 9780511754012 0511754019 9780521834315 0521834317 1280163445 9781280163449

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spelling	Bierens, Herman J., 1943- https://id.oclc.org/worldcat/entity/E39PBJwRVvvPVct4cQGktvw3cP http://id.loc.gov/authorities/names/n81051440 Introduction to the mathematical and statistical foundations of econometrics / Herman J. Bierens. Cambridge, UK ; New York : Cambridge University Press, 2005. 1 online resource (xvii, 323 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Themes in modern econometrics Includes bibliographical references (pages 315-316) and index. Probability and measure -- Borel measurability, integration, and mathematical expectations -- Conditional expectations -- Distributions and transformations -- The multivariate normal distribution and its application to statistical inference -- Modes of convergence -- Dependent laws of large numbers and central limit theorems -- Maximum likelihood theory. Print version record. 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. Econometrics. http://id.loc.gov/authorities/subjects/sh85040763 Économétrie. BUSINESS & ECONOMICS Econometrics. bisacsh BUSINESS & ECONOMICS Statistics. bisacsh Econometrics fast Electronic books. has work: Introduction to the mathematical and statistical foundations of econometrics (Text) https://id.oclc.org/worldcat/entity/E39PD39bwtGCxc7fhPTRwCvtfC https://id.oclc.org/worldcat/ontology/hasWork Print version: Bierens, Herman J., 1943- Introduction to the mathematical and statistical foundations of econometrics. Cambridge, UK ; New York : Cambridge University Press, 2005 0521834317 0521542243 (DLC) 2004040792 (OCoLC)54066673 Themes in modern econometrics. http://id.loc.gov/authorities/names/n96000346 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=131395 Volltext
spellingShingle	Bierens, Herman J., 1943- Introduction to the mathematical and statistical foundations of econometrics / Themes in modern econometrics. Probability and measure -- Borel measurability, integration, and mathematical expectations -- Conditional expectations -- Distributions and transformations -- The multivariate normal distribution and its application to statistical inference -- Modes of convergence -- Dependent laws of large numbers and central limit theorems -- Maximum likelihood theory. Econometrics. http://id.loc.gov/authorities/subjects/sh85040763 Économétrie. BUSINESS & ECONOMICS Econometrics. bisacsh BUSINESS & ECONOMICS Statistics. bisacsh Econometrics fast
subject_GND	http://id.loc.gov/authorities/subjects/sh85040763
title	Introduction to the mathematical and statistical foundations of econometrics /
title_auth	Introduction to the mathematical and statistical foundations of econometrics /
title_exact_search	Introduction to the mathematical and statistical foundations of econometrics /
title_full	Introduction to the mathematical and statistical foundations of econometrics / Herman J. Bierens.
title_fullStr	Introduction to the mathematical and statistical foundations of econometrics / Herman J. Bierens.
title_full_unstemmed	Introduction to the mathematical and statistical foundations of econometrics / Herman J. Bierens.
title_short	Introduction to the mathematical and statistical foundations of econometrics /
title_sort	introduction to the mathematical and statistical foundations of econometrics
topic	Econometrics. http://id.loc.gov/authorities/subjects/sh85040763 Économétrie. BUSINESS & ECONOMICS Econometrics. bisacsh BUSINESS & ECONOMICS Statistics. bisacsh Econometrics fast
topic_facet	Econometrics. Économétrie. BUSINESS & ECONOMICS Econometrics. BUSINESS & ECONOMICS Statistics. Econometrics Electronic books.
url	https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=131395
work_keys_str_mv	AT bierenshermanj introductiontothemathematicalandstatisticalfoundationsofeconometrics

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