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Statistical Inference for Fractional Diffusion Processes

of the book is to consider parametric and nonparametric inference problems for fractional diffusion processes when a complete path of the process;

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Estimations And Tests In Change-point Models

of estimation and test in a wide range of models with changes. They include parametric and nonparametric models for samples, series, point processes and;

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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

, including diffusion tensor imaging, similarity shape analysis, directional data analysis, and projective shape analysis for machine vision. The book;

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Nonparametric Statistics for Diffusion Processes

Diffusion processes are widely used in many applied disciplines, such as biology, physics and financial mathematics. From the applied;

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Statistical Tests Of Nonparametric Hypotheses

of point processes and diffusions. With many new test statistics developed for smooth curves, the reliance on kernel estimators with bias;

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From Statistics to Mathematical Finance

from nonparametric estimation, regression modelling and asymptotic bounds for estimators, to shot-noise processes in finance, option pricing;

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Nonparametric Statistics for Non-Statisticians

A practical and understandable approach to nonparametric statistics for researchers across diverse areas of study As the importance;

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Mathematical Statistics and Stochastic Processes

-parametric statistics and robustness, second-order processes in discrete and continuous time and diffusion processes, statistics for discrete and;

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All of Nonparametric Statistics

This text provides the reader with a single book where they can find accounts of a number of up-to-date issues in nonparametric inference;

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A Primer on Nonparametric Analysis, Volume I

Nonparametric statistics provide a scientific methodology for cases where customary statistics are not applicable. Nonparametric statistics;

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A Primer on Nonparametric Analysis, Volume II

Nonparametric statistics provide a scientific methodology for cases where customary statistics are not applicable. Nonparametric statistics;

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Parameter Estimation in Fractional Diffusion Models

This book is devoted to parameter estimation in diffusion models involving fractional Brownian motion and related processes. For many years;

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Nonparametric Inference

This book provides a solid foundation on nonparametric inference for students taking a graduate course in nonparametric statistics and;

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Nonparametric Methods in Statistics

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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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Mathematical Statistics

nonparametric techniques. It covers topics in parametric and nonparametric large-sample estimation theory. The exposition is based on a collection;

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Nonparametric Statistics And Mixture Models

in research in nonparametric statistics, rank statistics, robustness, and mixture models during a career that spanned nearly 40 years. It is a broad;

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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 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 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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Theory and Statistical Applications of Stochastic Processes

This book is concerned with the theory of stochastic processes and the theoretical aspects of statistics for stochastic processes. It;

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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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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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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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