25 results
Preface
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- 12 December 2011, pp xv-xvi
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Eight - Cressie-Read-MPD-Type Estimators in Practice
- from Part III - A Family of Minimum Discrepancy Estimators
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- 12 December 2011, pp 153-166
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One - Econometric Information Recovery
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- 12 December 2011, pp 1-4
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Part IV - Binary–Discrete Choice Minimum Power Divergence (MPD) Measures
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- 12 December 2011, pp 167-168
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Eleven - Choosing the Optimal Divergence under Quadratic Loss
- from Part V - Optimal Convex Divergence
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- 12 December 2011, pp 207-220
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Frontmatter
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- 12 December 2011, pp i-v
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Part I - Traditional Parametric and Semiparametric Econometric Models: Estimation and Inference
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- 12 December 2011, pp 5-6
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An Information Theoretic Approach to Econometrics
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Seven - The Cressie-Read Family of Divergence Measures and Empirical Maximum Likelihood Functions
- from Part III - A Family of Minimum Discrepancy Estimators
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- 12 December 2011, pp 135-152
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Four - A Stochastic-Empirical Likelihood Inverse Problem
- from Part II - Formulation and Solution of Stochastic Inverse Problems
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- 12 December 2011, pp 69-89
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Abbreviations
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- 12 December 2011, pp 223-226
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Three - Method of Moments, Generalized Method of Moments, and Estimating Equations
- from Part I - Traditional Parametric and Semiparametric Econometric Models: Estimation and Inference
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- 12 December 2011, pp 36-66
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Two - Formulation and Analysis of Parametric and Semiparametric Linear Models
- from Part I - Traditional Parametric and Semiparametric Econometric Models: Estimation and Inference
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- 12 December 2011, pp 7-35
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Ten - Estimation and Inference for the Binary Response Model Based on the MPD Family of Distributions
- from Part IV - Binary–Discrete Choice Minimum Power Divergence (MPD) Measures
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- 12 December 2011, pp 187-204
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Nine - Family of MPD Distribution Functions for the Binary Response-Choice Model
- from Part IV - Binary–Discrete Choice Minimum Power Divergence (MPD) Measures
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- 12 December 2011, pp 169-186
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Six - Kullback-Leibler Information and the Maximum Empirical Exponential Likelihood
- from Part II - Formulation and Solution of Stochastic Inverse Problems
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- 12 December 2011, pp 104-132
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Index
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- 12 December 2011, pp 227-232
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Part V - Optimal Convex Divergence
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- 12 December 2011, pp 205-206
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Part II - Formulation and Solution of Stochastic Inverse Problems
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- 12 December 2011, pp 67-68
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Five - A Stochastic Empirical Likelihood Inverse Problem
- from Part II - Formulation and Solution of Stochastic Inverse Problems
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- 12 December 2011, pp 90-103
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