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A Distribution-Free Theory of Nonparametric Regression

This book provides a systematic in-depth analysis of nonparametric regression with random design. It covers almost all known estimates. The;

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Econometric Model Specification

distribution models, including a consistent test of the martingale difference hypothesis for time series regression errors. In the second part, semi;

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Introduction To Nonparametric Regression

mathematics and excessive abstract theory to help readers intuitively grasp the value of nonparametric regression methods; statistical techniques;

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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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Distribution-Free Methods for Statistical Process Monitoring and Control

normality and the independence when a process is statistically monitored, and examines in detail change-point analysis-based distribution-free;

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Distribution-Free Methods for Statistical Process Monitoring and Control

normality and the independence when a process is statistically monitored, and examines in detail change-point analysis-based distribution-free;

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Applied Statistical Science II

Contents: Nonparametric Perspectives in Regression Analysis; Record Values of Univariate Distribution; A Transfer Theorem for Multitype;

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Modeling Energy Demand using Nonparametric and Extreme Value Theory

to model extremes in electricity demand and fuel price data. A combination of nonparametric approach and extreme value theory is used as an;

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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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Image Processing And Jump Regression Analysis

nonparametric jump regression analysis by outlining procedures that are easy to use, simple to compute, and have proven statistical theory behind them;

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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 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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Regression Modeling: Methods, Theory, and Computation with SAS

Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques;

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Regression Modeling: Methods, Theory, and Computation with SAS

Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques;

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Nonparametric Statistical Process Control

limits, and more Focuses on the distribution-free (nonparametric) charts for the cases in which the underlying process distribution is unknown;

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Quantile Regression

Quantile regression is gradually emerging as a unified statistical methodology for estimating models of conditional quantile functions. By;

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Quantile Regression

Quantile regression is gradually emerging as a unified statistical methodology for estimating models of conditional quantile functions. By;

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Nonparametric Regression Methods For Longitudinal Data Analysis

nonparametric regression techniques for longitudinal data analysis and systematically investigates the incorporation of mixed-effects modeling;

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Nonparametric Econometrics

to the topics covered in a first year graduate course in econometrics, e.g. regression function, heteroskedasticity, simultaneous equations;

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Nonparametric Econometrics

to the topics covered in a first year graduate course in econometrics, e.g. regression function, heteroskedasticity, simultaneous equations;

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Partially Linear Models

art of partially linear regression techniques. The emphasis is on methodologies rather than on the theory, with a particular focus on;

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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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Nonparametric Smoothing and Lack-of-Fit Tests

smoothing ideas. The first four chapters introduce the problem of estimating regression functions by nonparametric smoothers, primarily those;

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Nonparametric Inference on Manifolds

This book introduces in a systematic manner a general nonparametric theory of statistics on manifolds, with emphasis on manifolds of shapes;

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Nonparametric Inference On Manifolds

This book introduces in a systematic manner a general nonparametric theory of statistics on manifolds, with emphasis on manifolds of shapes;

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Applied Nonparametric Statistical Methods

of nonparametric or distribution-free methods. Designed experiments, including those with factorial treatment structures, are now the focus of an entire;

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