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Nonparametric Econometric Methods

Conference held on the LSU campus in Baton Rouge, Louisiana during November 14-16, 2008. The theme of the conference was 'Nonparametric Econometric;

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An Information Theoretic Approach to Econometrics

This book is intended to provide the reader with a firm conceptual and empirical understanding of basic information-theoretic econometric;

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An Information Theoretic Approach to Econometrics

This book is intended to provide the reader with a firm conceptual and empirical understanding of basic information-theoretic econometric;

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Semiparametric and Nonparametric Methods in Econometrics

misleading. Nonparametric and semiparametric statistical methods provide a way to reduce the strength of the assumptions required for estimation and;

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Econometric Model Specification

Econometric Model Specification reviews and extends the author's papers on consistent model specification testing and semi-nonparametric;

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Econometric Modelling with Time Series

This book provides a general framework for specifying, estimating and testing time series econometric models. Special emphasis is given to;

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Econometric Modelling with Time Series

This book provides a general framework for specifying, estimating and testing time series econometric models. Special emphasis is given to;

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Multivariate Nonparametric Regression And Visualization

, Multivariate Nonparametric Regression and Visualization provides readers with the core statistical concepts to obtain complete and accurate predictions;

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Applied Nonparametric Statistical Methods

While preserving the clear, accessible style of previous editions, Applied Nonparametric Statistical Methods, Fourth Edition reflects the;

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All of Nonparametric Statistics

This text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference;

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Nonparametric Statistical Methods Using R

A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers traditional;

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Nonparametric Statistical Methods Using R

A Practical Guide to Implementing Nonparametric and Rank-Based Procedures Nonparametric Statistical Methods Using R covers;

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Applied Nonparametric Econometrics

in nonparametric theory ignore the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical;

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Applied Nonparametric Econometrics

in nonparametric theory ignore the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical;

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Nonparametric Statistical Methods

Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical;

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Nonparametric Models for Longitudinal Data

Nonparametric Models for Longitudinal Data with Implementations in R presents a comprehensive summary of major advances in nonparametric;

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Modern Nonparametric, Robust and Multivariate Methods

Written by leading experts in the field, this edited volume brings together the latest findings in the area of nonparametric, robust and;

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Nonparametric Econometrics

Until now, students and researchers in nonparametric and semiparametric statistics and econometrics have had to turn to the latest journal;

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Nonparametric Techniques in Statistical Inference

Nonparametric techniques in statistics are those in which the data are ranked in order according to some particular characteristic. When;

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A Primer on Nonparametric Analysis, Volume I

Nonparametric statistics provide a scientific methodology for cases where customary statistics are not applicable. Nonparametric statistics;

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A Primer on Nonparametric Analysis, Volume II

Nonparametric statistics provide a scientific methodology for cases where customary statistics are not applicable. Nonparametric statistics;

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A Guide to Econometric Methods for the Energy-Growth Nexus

A Guide to Econometric Methods for the Energy-Growth Nexus presents, explains and compares all the available econometrics methods pertinent;

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Nonparametric Methods in Statistics with SAS Applications

Designed for a graduate course in applied statistics, Nonparametric Methods in Statistics with SAS Applications teaches students how to;

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Nonparametric Methods In Statistics With Sas Applications

Designed for a graduate course in applied statistics, Nonparametric Methods in Statistics with SAS Applications teaches students how to;

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Identification and Inference for Econometric Models

significance in econometric theory. The chapters cover four themes: identification and efficient estimation in econometrics, asymptotic approximations;

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