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Regression Estimators - A Comparative Study 2e

An examination of mathematical formulations of ridge-regression-type estimators points to a curious observation: estimators can be derived;

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Robust Regression

Robust Regression: Analysis and Applications characterizes robust estimators in terms of how much they weigh. Each observation discusses;

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Functional Estimation For Density, Regression Models And Processes

This book presents a unified approach on nonparametric estimators for models of independent observations, jump processes and continuous;

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An introduction to mathematical statistics

, tests, and confidence regions. The authors illustrate these in many examples, with a separate chapter on regression models, including linear;

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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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Improving Efficiency by Shrinkage

Offers a treatment of different kinds of James-Stein and ridge regression estimators from a frequentist and Bayesian point of view. The;

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Improving Efficiency by Shrinkage

Offers a treatment of different kinds of James-Stein and ridge regression estimators from a frequentist and Bayesian point of view. The;

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An introduction to mathematical statistics

, tests, and confidence regions. The authors illustrate these in many examples, with a separate chapter on regression models, including linear;

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Quantile Regression

Offers a general introduction to linear programming focusing on the simplex method as solving method for the quantile regression problem;

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Adaptive Regression

While there have been a large number of estimation methods proposed and developed for linear regression, none has proved good for all;

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Algorithms for Regression and Classification

The focus of this dissertation is on robust regression and classification in genetic association studies. In the context of robust;

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Russia's Comparative Advantages in Foreign Trade

book. Departing from the theory of comparative advantages and their impact, the author demonstrates that such an approach has to be based on a;

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Asymptotic Theory for Econometricians

This book provides the tools and concepts necessary to study the behavior of econometric estimators and test statistics in large samples;

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Applied Statistical Science III

CONTENTS: Partially Adaptive Rank and Regression Rank Scores Tests in Linear Models; An Analysis of Nonoparametric Smoothers; Supercritical;

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Regression Analysis and Its Application: A Data-Oriented Approach

Regression Analysis and Its Application: A Data-Oriented Approach answers the need for researchers and students who would like a better;

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Regression Analysis and its Application

Regression Analysis and Its Application: A Data-Oriented Approach answers the need for researchers and students who would like a better;

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Solutions Manual to accompany Modern Regression Methods, 2e

methods of parameter estimation A new chapter focusing on additional topics of study in regression, including quantile regression, semiparametric;

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The Statistical Analysis of Doubly Truncated Data - With Applications in R

A thorough treatment of the statistical methods used to analyze doubly truncated data In The Statistical Analysis of Doubly Truncated Data;

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From Statistics to Mathematical Finance

This book, dedicated to Winfried Stute on the occasion of his 70th birthday, presents a unique collection of contributions by leading;

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Radiation Risk Estimation

covers nonlinear measurement error models, with a particular emphasis on efficiency of regression parameter estimators. In the second part, risk;

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Econometrics

, regressions, equations and diagrams to illustrate the analysis.Examine a linear and multiple regression model, ordinary least;

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Nonstationary Panels, Panel Cointegration, and Dynamic Panels

asymptotic distributions of various estimators for the panel cointegrated regression model; propose a unit root test in the presence of structural;

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Bilinear Regression Analysis

This book expands on the classical statistical multivariate analysis theory by focusing on bilinear regression models, a class of models;

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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 High-Dimensional Statistics

sensing, estimation with convex constraints, the slope estimator, simultaneously low rank and row sparse linear regression, or aggregation of a;

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A Posteriori Error Estimation In Finite Element Analysis

includes applications to incompressible flow and nonlinear problems. Recent years have seen an explosion in the study of a posteriori error;

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