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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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Nonparametric Statistical Methods For Complete and Censored Data

Complete and Censored Data introduces commonly used non-parametric methods for complete data and extends those methods to right censored data;

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Nonparametric Statistical Methods For Complete and Censored Data

Complete and Censored Data introduces commonly used non-parametric methods for complete data and extends those methods to right censored data;

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Interval-Censored Time-to-Event Data

Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for;

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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 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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Bootstrap Methods and their Application

, developed in a coherent way with the necessary theoretical basis. Applications include stratified data; finite populations; censored and missing;

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Chi-squared Goodness-of-fit Tests for Censored Data

This book is devoted to the problems of construction and application of chi-squared goodness-of-fit tests for complete and censored data;

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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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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 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 Econometrics

models, logit-probit and censored models. Nonparametric and semiparametric methods potentially offer considerable reward to applied researchers;

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Nonparametric Econometrics

models, logit-probit and censored models. Nonparametric and semiparametric methods potentially offer considerable reward to applied researchers;

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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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Empirical Likelihood Method in Survival Analysis

empirical likelihood method for right censored survival data. The author uses R for calculating empirical likelihood and includes many worked out;

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Empirical Likelihood Method in Survival Analysis

empirical likelihood method for right censored survival data. The author uses R for calculating empirical likelihood and includes many worked out;

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Survival Analysis in Medicine and Genetics

Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional;

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Survival Analysis in Medicine and Genetics

Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional;

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Survival Analysis Using S

Survival Analysis Using S: Analysis of Time-to-Event Data is designed as a text for a one-semester or one-quarter course in survival;

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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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