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Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis

A New Way of Analyzing Object Data from a Nonparametric Viewpoint Nonparametric Statistics on Manifolds and Their Applications to Object;

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Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis

A New Way of Analyzing Object Data from a Nonparametric Viewpoint Nonparametric Statistics on Manifolds and Their Applications to;

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Nonparametric Inference on Manifolds

statisticians who analyze manifold data and wish to develop their own methodology, this book is also of interest to probabilists, mathematicians;

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Nonparametric Inference On Manifolds

statisticians who analyze manifold data and wish to develop their own methodology, this book is also of interest to probabilists, mathematicians;

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Riemannian Geometric Statistics in Medical Image Analysis

data. Riemannian Geometric Statistics in Medical Image Analysis is a complete reference on statistics on Riemannian manifolds and;

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Functional and High-Dimensional Statistics and Related Fields

This book presents the latest research on the statistical analysis of functional, high-dimensional and other complex data, addressing;

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Applied Nonparametric Statistical Methods

chapter. The text also expands coverage on the analysis of survival data and the bootstrap method. The new final chapter focuses on important;

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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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Algorithmic Advances in Riemannian Geometry and Applications

researchers in the field. These include statistical modeling and analysis on manifolds,optimization on manifolds, Riemannian manifolds and kernel;

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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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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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Data Analysis and Approximate Models

with applications to: Discrete data Location scale Analysis of variance (ANOVA) Nonparametric regression, image analysis, and;

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Basic Statistics and Pharmaceutical Statistical Applications

information on software applications to assist with evaluating data. New to the Third Edition Use of Excel (R) and;

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Basic Statistics and Pharmaceutical Statistical Applications

information on software applications to assist with evaluating data. New to the Third Edition Use of Excel (R) and Minitab (R) for;

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Local Polynomial Modelling and Its Applications

nonparametric methods is to relax assumptions on the form of a regression function and to let data search for a suitable function that describes the;

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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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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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Categorical and Nonparametric Data Analysis

: Unique coverage of categorical and nonparametric statistics better prepares readers to select the best technique for their particular research;

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Categorical and Nonparametric Data Analysis

: Unique coverage of categorical and nonparametric statistics better prepares readers to select the best technique for their particular research;

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Nonparametric Statistics for Social and Behavioral Sciences

a nonmathematical approach to nonparametric data analysis procedures and shows students how they are used in research contexts. Each chapter;

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Nonparametric Statistics for Social and Behavioral Sciences

a nonmathematical approach to nonparametric data analysis procedures and shows students how they are used in research contexts. Each chapter;

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Nonparametric Models for Longitudinal Data

studies in the era of big data and precision medicine. It also provides flexible tools to describe the temporal trends, covariate effects and;

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Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP

. Features two new chapters-one on Data Mining and another on Cluster Analysis Now contains R exhibits including code, graphical display, and some;

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A Primer on Nonparametric Analysis, Volume I

statistics is that it offers analytical methods that are not available otherwise. Nonparametric methods are intuitive and simple to comprehend, which;

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