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Semiparametric Theory and Missing Data

This book summarizes current knowledge regarding the theory of estimation for semiparametric models with missing data, in an organized and;

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Nonlinear Time Series

Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention;

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Nonlinear Time Series

Useful in the theoretical and empirical analysis of nonlinear time series data, semiparametric methods have received extensive attention;

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Mixed Effects Models for Complex Data

semiparametric and nonparametric mixed effects models. It also includes general approaches for the analysis of complex data with missing values;

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Mixed Effects Models for Complex Data

semiparametric and nonparametric mixed effects models. It also includes general approaches for the analysis of complex data with missing values;

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Life Distributions: Structure of Nonparametric, Semiparametric, and Parametric Families

includes much material from reliability theory in engineering and survival analysis in medicine.;

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Statistical Analysis with Missing Data

of problems based on likelihoods derived from statistical models for the data and the missing data mechanism and apply the theory to a wide range;

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Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life

Parametric and semiparametric models are tools with a wide range of applications to reliability, survival analysis, and quality of life;

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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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Generalized Linear Models

over 1000 references and equations, Generalized Linear Models considers parametric and semiparametric approaches to overdispersed GLMs, presents;

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Nonparametric Econometrics

This book systematically and thoroughly covers the vast literature on the nonparametric and semiparametric statistics and econometrics that;

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Nonparametric Econometrics

This book systematically and thoroughly covers the vast literature on the nonparametric and semiparametric statistics and econometrics that;

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Semiparametric and Nonparametric Methods in Econometrics

semiparametric methods. It is accessible to graduate students and applied researchers who are familiar with econometric and statistical theory at the;

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Selection Models for Nonignorable Missing Data

models for nonignorable missing data. The theory of selection models is described and illustrated by examples. Maximum Likelihood as well as;

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Mathematical Statistics Basic Ideas and Selected Topics, Volume II 119 Chapman HallCRC Texts in Statistical Science

of functions and other complex decision procedures and large-scale data analysis. The book covers asymptotic efficiency in semiparametric models;

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Missing Data

of auxiliary variables, and highly cost-effective planned missing data designs are provided. The author lays out missing data theory in a plain;

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Semiparametric Regression for the Social Sciences

An introductory guide to smoothing techniques, semiparametric estimators, and their related methods, this book describes the methodology;

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Nonparametric Econometrics

up-to-date theory and techniques and presenting them in a remarkably straightforward and accessible format. The empirical tests, data, and;

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Preventing and Treating Missing Data in Longitudinal Clinical Trials

Recent decades have brought advances in statistical theory for missing data, which, combined with advances in computing ability, have;

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Preventing and Treating Missing Data in Longitudinal Clinical Trials

Recent decades have brought advances in statistical theory for missing data, which, combined with advances in computing ability, have;

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Multiple Imputation of Missing Data in Practice

Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction to the multiple;

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Semiparametric Regression

ordinary parametric regression, this user-friendly book explains the techniques and benefits of semiparametric regression in a concise and modular;

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Semiparametric Regression

ordinary parametric regression, this user-friendly book explains the techniques and benefits of semiparametric regression in a concise and modular;

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Bootstrap Methods and their Application

, developed in a coherent way with the necessary theoretical basis. Applications include stratified data; finite populations; censored and missing;

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Applied Categorical and Count Data Analysis

that include models for zero-modified count outcomes, parametric and semiparametric longitudinal data analysis, reliability analysis, and;

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International Symposia in Economic Theory and Econometrics

This collection of papers delivered at the Fifth International Symposium in Economic Theory and Econometrics in 1988 is devoted to the;

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