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XploRe® — Application Guide

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Cover of 'XploRe® — Application Guide'

Table of Contents

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    Book Overview
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    Chapter 1 Quantile Regression
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    Chapter 2 Least Trimmed Squares
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    Chapter 3 Errors-in-Variables Models
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    Chapter 4 Simultaneuos-Equations Models
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    Chapter 5 Hazard Regression
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    Chapter 6 Generalized Partial Linear Models
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    Chapter 7 Generalized Additive Models
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    Chapter 8 Growth Regression and Counterfactual Income Dynamics
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    Chapter 9 Cluster Analysis
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    Chapter 10 Classification and Regression Trees
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    Chapter 11 DPLS—Partial Least Squares Program for Dynamic Path Models
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    Chapter 12 Uncovered Interest Parity What can we learn from panel data?
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    Chapter 13 Correspondence Analysis
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    Chapter 14 Long-Memory Analysis
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    Chapter 15 ExploRing Persistence in Financial Time Series
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    Chapter 16 Flexible Time Series Analysis
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    Chapter 17 Multiple Time Series Analysis
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    Chapter 18 Robust Kalman Filtering
Attention for Chapter 8: Growth Regression and Counterfactual Income Dynamics
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