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Asymptotic Efficiency of Nonparametric Tests

Making a substantiated choice of the most efficient statistical test is one of the basic problems of statistics. Asymptotic efficiency;

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Asymptotic Efficiency of Nonparametric Tests

Making a substantiated choice of the most efficient statistical test is one of the basic problems of statistics. Asymptotic efficiency;

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Statistical Tests Of Nonparametric Hypotheses

An overview of the asymptotic theory of optimal nonparametric tests is presented in this book. It covers a wide range of topics: Neyman;

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Nonparametric Statistical Methods And Related Topics

, linear model theory, Bayesian nonparametrics, change point problems, time series analysis and asymptotic theory.This volume presents state-of-the;

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Econometric Model Specification

-nonparametric modeling and inference for duration and auction models are considered, as well as a general theory of the consistency and asymptotic;

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Contributions to Static and Time-Varying Copula-Based Modeling of Multivariate Association

Putting a particular emphasis on nonparametric methods that rely on modern empirical process techniques, the author contributes to the;

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Advanced Robust and Nonparametric Methods in Efficiency Analysis: Methodology and Applications

Providing a systematic and comprehensive treatment of recent developments in efficiency analysis, this book makes available an intuitive;

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Nonparametric Statistical Tests

Nonparametric Statistical Tests: A Computational Approach describes classical nonparametric tests, as well as novel and little-known;

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Nonparametric Statistical Tests

Nonparametric Statistical Tests: A Computational Approach describes classical nonparametric tests, as well as novel and little-known;

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Nonparametric Regression and Spline Smoothing

Provides a unified account of the most popular approaches to nonparametric regression smoothing. This edition contains discussions;

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Nonparametric Regression and Spline Smoothing

Provides a unified account of the most popular approaches to nonparametric regression smoothing. This edition contains discussions;

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Nonparametric Statistics in Health Care Research

particular intervention. Beginning with a general overview of nonparametric statistics, Majorie A Pett reviews statistical hypothesis testing and the;

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The Refinement of Econometric Estimation and Test Procedures

is therefore developed for very large or asymptotic samples where it is assumed that the behaviour of estimators and tests will adequately represent;

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The Refinement of Econometric Estimation and Test Procedures

is therefore developed for very large or asymptotic samples where it is assumed that the behaviour of estimators and tests will adequately represent;

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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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Nonparametric Smoothing and Lack-of-Fit Tests

problems. As such, the book is of interest to practitioners of statistics and researchers investigating either lack-of-fit tests or nonparametric;

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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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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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Data Analysis in Business Research

While there are books focusing on parametric tests, the domain of nonparametric tests is mostly unexplored. Data Analysis in Business;

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Nonparametric Statistics

Nonparametric Statistics is a short and sweet introduction to the five most familiar nonparametric location tests and associated confidence;

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Estimations And Tests In Change-point Models

of estimation and test in a wide range of models with changes. They include parametric and nonparametric models for samples, series, point processes and;

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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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Nonparametric Tests for Complete Data

This book concerns testing hypotheses in non-parametric models. Classical non-parametric tests (good;...

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Nonparametric Tests for Censored Data

This book concerns testing hypotheses in non-parametric models. Generalizations of many non-parametr;...

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Observed Confidence Levels

in statistical inference. It focuses on the modern nonparametric framework of bootstrap-based estimates, allowing for substantial theoretical development;

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Observed Confidence Levels

in statistical inference. It focuses on the modern nonparametric framework of bootstrap-based estimates, allowing for substantial theoretical development;

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