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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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Survival Analysis in Medicine and Genetics

at how predictors are associated with censored survival time and extracts novel statistical genetic methods for censored survival time;

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Survival Analysis in Medicine and Genetics

at how predictors are associated with censored survival time and extracts novel statistical genetic methods for censored survival time;

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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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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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Nonparametric Statistical Methods Using R

language and basic statistical concepts before discussing nonparametrics. It presents rank-based methods for one- and two-sample problems;

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Nonparametric Statistical Methods Using R

gives an overview of the R language and basic statistical concepts before discussing nonparametrics. It presents rank-based methods for one- and;

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Applied Nonparametric Statistical Methods

giving the proper attention to data collection and the interpretation of analyses, it provides a full introduction to nonparametric methods.;

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Modern Nonparametric, Robust and Multivariate Methods

methods for complex data structures. Some examples from statistical signal processing are also given. The volume is dedicated to Hannu Oja on the;

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Statistical Models and Methods for Reliability and Survival Analysis

interested in statistical methodology and models useful in survival analysis, system reliability and statistical testing for censored and non;

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Nonparametric Statistical Methods

that clearly illustrate how to use nonparametric approaches for handling one- or two-sample location and dispersion problems, dichotomous data;

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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 Analysis of Bivariate Censored Data

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Nonparametric Analysis of Bivariate Censored Data

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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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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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Survival Analysis with Interval-Censored Data

with the emphasis on interval-censored data and classification based on longitudinal data. He is past chair of the Statistical Modelling;

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Survival Analysis with Interval-Censored Data

interval-censored data and classification based on longitudinal data. He is past chair of the Statistical Modelling Society and editor;

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Practical Statistical Methods

an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting;

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Practical Statistical Methods

an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting;

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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 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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Multi-State Survival Models for Interval-Censored Data

of stochastic processes. Multi-State Survival Models for Interval-Censored Data shows that the statistical modelling is versatile and allows for a wide;

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Multi-State Survival Models for Interval-Censored Data

of stochastic processes. Multi-State Survival Models for Interval-Censored Data shows that the statistical modelling is versatile and allows for a wide;

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