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Nonparametric Smoothing and Lack-of-Fit Tests

problems. As such, the book is of interest to practitioners of statistics and researchers investigating either lack-of-fit tests or nonparametric;

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Nonparametric Regression and Spline Smoothing

Provides a unified account of the most popular approaches to nonparametric regression smoothing. This edition contains discussions;

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Nonparametric Regression and Spline Smoothing

Provides a unified account of the most popular approaches to nonparametric regression smoothing. This edition contains discussions;

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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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Nonparametric Tests for Complete Data

This book concerns testing hypotheses in non-parametric models. Classical non-parametric tests (goodness-of-fit, homogeneity, randomness;

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Nonparametric Methods in Statistics with SAS Applications

Fisher exact tests. It then discusses smoothing techniques (loess and thin-plate splines) for classical nonparametric regression as well as;

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Nonparametric Methods In Statistics With Sas Applications

Fisher exact tests. It then discusses smoothing techniques (loess and thin-plate splines) for classical nonparametric regression as well as;

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Nonparametric Models for Longitudinal Data

. Features: * Provides an overview of parametric and semiparametric methods * Shows smoothing methods for unstructured nonparametric models;

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Smoothing Splines

smoothing spline ANOVA, extended and generalized smoothing spline ANOVA, vector spline, nonparametric nonlinear regression, semiparametric;

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Smoothing Splines

smoothing spline ANOVA, extended and generalized smoothing spline ANOVA, vector spline, nonparametric nonlinear regression, semiparametric;

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Kernel Smoothing

Comprehensive theoretical overview of kernel smoothing methods with motivating examples Kernel smoothing is a flexible nonparametric curve;

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Nonparametric Econometric Methods

Methods', and the papers selected for inclusion in this Volume span a range of nonparametric techniques including kernel smoothing, empirical;

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Modeling Energy Demand using Nonparametric and Extreme Value Theory

Modeling demand and price data using nonparametric methods and extreme value theory provides an up-to-date picture on how extreme events;

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Nonparametric Statistical Tests

Nonparametric Statistical Tests: A Computational Approach describes classical nonparametric tests, as well as novel and little-known;

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Nonparametric Statistical Tests

Nonparametric Statistical Tests: A Computational Approach describes classical nonparametric tests, as well as novel and little-known;

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Semiparametic Regression for the Applied Econometrician

This book provides an accessible collection of techniques for analyzing nonparametric and semiparametric regression models. Worked examples;

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Themes in Modern Econometrics

This book provides an accessible collection of techniques for analyzing nonparametric and semiparametric regression models. Worked examples;

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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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Kernel Smoothing

nonparametric regression. They pay particular attention to the problem of choosing the smoothing parameter of a kernel smoother, and also treat the;

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Smoothing Methods in Statistics

, nonparametric regression estimation, categorical data smoothing, and applications of smoothing to other areas of statistics. It will thus be;

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Nonparametric Models for Longitudinal Data

models and smoothing methods with longitudinal data. It covers methods, theories, and applications that are particularly useful for biomedical;

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Asymmetric Kernel Smoothing

This is the first book to provide an accessible and comprehensive introduction to a newly developed smoothing technique using asymmetric;

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Econometric Society Monographs

Applied Nonparametric Regression is the first book to bring together in one place the techniques for regression curve smoothing involving;

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Generalized Additive Models

This book describes an array of power tools for data analysis that are based on nonparametric regression and smoothing techniques. These;

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Nonparametric Regression and Generalized Linear Models

In recent years, there has been a great deal of interest and activity in the general area of nonparametric smoothing in statistics. This;

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Recent Advances and Trends in Nonparametric Statistics

. Classical nonparametric procedures, such as function smoothing, suddenly lost their abstract flavour as they became practically implementable;

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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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