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Nonparametric Tests for Complete Data

This book concerns testing hypotheses in non-parametric models. Classical non-parametric tests (goodness-of-fit, homogeneity, randomness;

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Nonparametric Tests for Censored Data

This book concerns testing hypotheses in non-parametric models. Generalizations of many non-parametric tests to the case of censored and;

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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 Methods in Statistics with SAS Applications

apply nonparametric techniques to statistical data. It starts with the tests of hypotheses and moves on to regression modeling, time-to-event;

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Nonparametric Methods In Statistics With Sas Applications

apply nonparametric techniques to statistical data. It starts with the tests of hypotheses and moves on to regression modeling, time-to-event;

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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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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 Statistical Inference

... a good textbook for a beginning graduate-level course in nonparametric statistics. - Journal of the American Statistical Association;

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Nonparametric Statistics for Social and Behavioral Sciences

Incorporating a hands-on pedagogical approach, Nonparametric Statistics for Social and Behavioral Sciences presents the concepts;

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Nonparametric Statistics for Social and Behavioral Sciences

Incorporating a hands-on pedagogical approach, Nonparametric Statistics for Social and Behavioral Sciences presents the concepts;

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Asymptotic Efficiency of Nonparametric Tests

is an indispensable technique for comparing and ordering statistical tests in large samples. It is especially useful in nonparametric statistics;

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Asymptotic Efficiency of Nonparametric Tests

is an indispensable technique for comparing and ordering statistical tests in large samples. It is especially useful in nonparametric statistics;

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Methodology in Robust and Nonparametric Statistics

Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from;

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Methodology in Robust and Nonparametric Statistics

Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from;

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Probability And Statistical Theory For Applied Researchers

to point and interval estimation and tests of parametric hypotheses. The last three chapters cover tests of nonparametric hypotheses;

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Data Analysis in Business Research

Research: A Step by Step Nonparametric Approach brings under one umbrella all the major nonparametric statistical tools that can be used by;

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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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Applied Statistics and Probability for Engineers

hypotheses; simple and multiple linear regression; design of experiments; nonparametric statistics; and statistical quality control.;

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Applied Statistics And Probability For Engineers

hypotheses; simple and multiple linear regression; design of experiments; nonparametric statistics; and statistical quality control.;

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Statistical Inference

Filling a gap in current Bayesian theory, Statistical Inference: An Integrated Bayesian/Likelihood Approach presents a unified Bayesian;

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Statistical Inference

Filling a gap in current Bayesian theory, Statistical Inference: An Integrated Bayesian/Likelihood Approach presents a unified Bayesian;

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Simple Statistical Tests for Geography

teach the mathematics behind statistical tests, but to focus on the logic, so that students can choose the most appropriate tests, apply them;

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Simple Statistical Tests for Geography

teach the mathematics behind statistical tests, but to focus on the logic, so that students can choose the most appropriate tests, apply them;

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Semiparametic Regression for the Applied Econometrician

This book provides an accessible collection of techniques for analyzing nonparametric and semiparametric regression models. Worked examples;

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Themes in Modern Econometrics

This book provides an accessible collection of techniques for analyzing nonparametric and semiparametric regression models. Worked examples;

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