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عنوان
Random sets in econometrics /

پدید آورنده
Ilya Molchanov, Francesca Molinari.

موضوع
Econometrics.,Random sets.,Econometrics.,Random sets.

رده
HB139
.
M64
2018

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
1107121205
(Number (ISBN
110754873X
(Number (ISBN
9781107121201
(Number (ISBN
9781107548732
Erroneous ISBN
9781108650748 (PDF ebook)

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Random sets in econometrics /
General Material Designation
[Book]
First Statement of Responsibility
Ilya Molchanov, Francesca Molinari.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
New York, NY :
Name of Publisher, Distributor, etc.
Cambridge University Press,
Date of Publication, Distribution, etc.
2018.
Date of Publication, Distribution, etc.
©2018

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
xvii, 178 pages :
Other Physical Details
illlustrations ;
Dimensions
23 cm.

SERIES

Series Title
Econometric Society monographic series ;
Volume Designation
60

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references and index.

CONTENTS NOTE

Text of Note
1. Basic concepts of random sets -- Random closed sets -- Hitting probabilities and the capacity functional -- Other functionals generated by random sets -- Capacities in game theory and economics -- 2. Selections -- Selections and measurability -- Characterization of selections -- Selections in econometrics: basic applications -- Adding extra structures to selections in econometrics -- 3. Expectation of random sets -- Selection expectation -- Support function and expectation -- Existence of selections with given moments -- Selection expectation in partial identification -- Other definitions of expectations -- 4. Limit theorems for Minkowski sums -- Minkowski addition -- Law of large numbers -- Central limit theorem -- Interference for the selection expectation -- Applications in partial identification -- Heavy tails -- 5. Estimation and inference -- Analysis basd on the empirical capacity functional -- Analysis based on inequalities involving other functionals -- Applications in partial identification -- Stationary random sets.
0

SUMMARY OR ABSTRACT

Text of Note
Random set theory is a fascinating branch of mathematics that amalgamates techniques from topology, convex geometry, and probability theory. Social scientists routinely conduct empirical work with data and modelling assumptions that reveal a set to which the parameter of interest belongs, but not its exact value. Random set theory provides a coherent mathematical framework to conduct identification analysis and statistical inference in this setting and has become a fundamental tool in econometrics and finance. This is the first book dedicated to the use of the theory in econometrics, written to be accessible for readers without a background in pure mathematics. Molchanov and Molinari define the basics of the theory and illustrate the mathematical concepts by their application in the analysis of econometric models. The book includes sets of exercises to accompany each chapter as well as examples to help readers apply the theory effectively.

OTHER EDITION IN ANOTHER MEDIUM

International Standard Book Number
9781108650748

TOPICAL NAME USED AS SUBJECT

Econometrics.
Random sets.
Econometrics.
Random sets.

DEWEY DECIMAL CLASSIFICATION

Number
330
.
01/5192
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
HB139
Book number
.
M64
2018

PERSONAL NAME - PRIMARY RESPONSIBILITY

Molchanov, Ilya S.,1962-

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Molinari, Francesca

ORIGINATING SOURCE

Date of Transaction
20200822145934.0
Cataloguing Rules (Descriptive Conventions))
rda

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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