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Mathematics for Econometrics

Overview of attention for book
Mathematics for Econometrics
Springer New York

Table of Contents

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    Book Overview
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    Chapter 1 Vectors and Vector Spaces
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    Chapter 2 Matrix Algebra
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    Chapter 3 Systems of Linear Equations
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    Chapter 4 Matrix Vectorization
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    Chapter 5 Vector and Matrix Differentiation
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    Chapter 6 DE Lag Operators GLSEM and Time Series
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    Chapter 7 Mathematical Underpinnings of Probability Theory
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    Chapter 8 Foundations of Probability
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    Chapter 9 LLN, CLT and Ergodicity
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    Chapter 10 The General Linear Model
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    Chapter 11 Panel Data Models
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    Chapter 12 GLSEM and TS Models
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    Chapter 13 Asymptotic Expansions
Attention for Chapter 9: LLN, CLT and Ergodicity
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Chapter title
LLN, CLT and Ergodicity
Chapter number 9
Book title
Mathematics for Econometrics
Published by
Springer, New York, NY, January 2013
DOI 10.1007/978-1-4614-8145-4_9
Book ISBNs
978-1-4614-8144-7, 978-1-4614-8145-4
Authors

Phoebus J. Dhrymes

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