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Random Sets in Econometrics by Ilya Molchanov (English) Paperback Book

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ISBN-13
9781107548732
Book Title
Random Sets in Econometrics
ISBN
9781107548732
Publication Year
2018
Type
Textbook
Format
Paperback
Language
English
Publication Name
Random Sets in Econometrics
Item Height
228mm
Author
Francesca Molinari, Ilya Molchanov
Publisher
Cambridge University Press
Item Width
153mm
Subject
Economics, Mathematics
Item Weight
310g
Number of Pages
194 Pages

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Product Information

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.

Product Identifiers

Publisher
Cambridge University Press
ISBN-13
9781107548732
eBay Product ID (ePID)
17046340642

Product Key Features

Author
Francesca Molinari, Ilya Molchanov
Publication Name
Random Sets in Econometrics
Format
Paperback
Language
English
Subject
Economics, Mathematics
Publication Year
2018
Type
Textbook
Number of Pages
194 Pages

Dimensions

Item Height
228mm
Item Width
153mm
Item Weight
310g

Additional Product Features

Title_Author
Francesca Molinari, Ilya Molchanov
Series Title
Econometric Society Monographs
Country/Region of Manufacture
United Kingdom

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增值稅識別編號:
  • AU 82107909133
  • GB 293967539
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