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Nonparametric Tests for Complete Data

, independence) of complete data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and;

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Nonparametric Statistical Tests

. Numerous real-life data from various areas, including the bible, and their analyses provide for greatly diversified reading. The book covers;

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Nonparametric Statistical Tests

. Numerous real-life data from various areas, including the bible, and their analyses provide for greatly diversified reading. The book covers;

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Nonparametric Statistical Methods For Complete and Censored Data

Balancing the cookbook approach of some texts with the more mathematical approach of others, Nonparametric Statistical Methods for;

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Nonparametric Statistical Methods For Complete and Censored Data

Balancing the cookbook approach of some texts with the more mathematical approach of others, Nonparametric Statistical Methods for;

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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 Statistics in Health Care Research

characteristics of data. She then explores "goodness of fit" tests, tests for two related samples, repeated measures for multiple time periods or matched;

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Nonparametric Tests for Censored Data

truncated data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are;

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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

most frequently used nonparametric methods (that are applicable for most small and large sample sizes). The methods are organized according to;

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Nonparametric Econometrics

scientists deal with categorical data--nominal and ordinal--in applied settings. The conventional nonparametric approach to dealing with the presence;

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Statistical Tests Of Nonparametric Hypotheses

the asymptotic behavior of tests for distribution functions, densities and curves of the nonparametric models defining the distributions;

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Categorical and Nonparametric Data Analysis

Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most;

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Categorical and Nonparametric Data Analysis

Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most;

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Introduction to Nonparametric Item Response Theory

introduction to nonparametric IRT models for the more mathematically sophisticated student or faculty member who will welcome the extensive additional;

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Nonparametric Statistics for Non-Statisticians

skills for the application of nonparametric statistical methods, including how to: Test data for normality and randomness Use the Wilcoxon signed;

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Nonparametrics for Sensory Science

quality of product development and to make the most of market research. Nonparametrics for Sensory Science is written to complement existing;

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Research and Statistics for Social Workers

Using real social work examples written specifically to ally student fears Research and Statistics for Social Workers brings research and;

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Research and Statistics for Social Workers

Using real social work examples written specifically to ally student fears Research and Statistics for Social Workers brings research and;

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Nonparametric Hypothesis Testing

techniques and more recent developments in permutation testing as robust tools for dealing with complex data with low sample size. Key Features;

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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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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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Multivariate Nonparametric Regression And Visualization

when given a set of data. Focusing on nonparametric methods to adapt to the multiple types of data generating mechanisms, the book begins with;

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Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs: Using R and SAS

of the data, or equal variances. The general approach also allows for ordinal and even dichotomous data. The underlying effect size is the;

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Nonparametric Smoothing and Lack-of-Fit Tests

of kernel and Fourier series type, and could be used as the foundation for a graduate level course on nonparametric function estimation. The;

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