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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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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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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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Semiparametric and Nonparametric Methods in Econometrics

misleading. Nonparametric and semiparametric statistical methods provide a way to reduce the strength of the assumptions required for estimation and;

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Semiparametric Structural Equation Models for Causal Discovery

principles, and algorithms. This semiparametric approach is one of the most exciting new topics in the field of causal discovery. The new;

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Nonparametric Models for Longitudinal Data

inferences. Features: Provides an overview of parametric and semiparametric methods Shows smoothing;

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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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The Statistical Analysis of Recurrent Events

also considered, as well as simpler models that focus on rate or mean functions. Parametric, nonparametric and semiparametric methodologies are;

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The Statistical Analysis of Recurrent Events

also considered, as well as simpler models that focus on rate or mean functions. Parametric, nonparametric and semiparametric methodologies are;

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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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International Symposia in Economic Theory and Econometrics

nonparametric and semiparametric models are a preferable alternative. Methods and applications that do not require string parametric assumptions for;

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International Symposia in Economic Theory and Econometrics

nonparametric and semiparametric models are a preferable alternative. Methods and applications that do not require string parametric assumptions for;

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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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Nonparametric System Identification

-parametric regression, approximation, and orthogonal expansions, along with new approaches to system identification (including semiparametric;

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Nonparametric System Identification

-parametric regression, approximation, and orthogonal expansions, along with new approaches to system identification (including semiparametric;

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Multistate Models for the Analysis of Life History Data

, including parametric, nonparametric and semiparametric methods applicable to many types of life history data. Special models such as illness-death;

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Multistate Models for the Analysis of Life History Data

, including parametric, nonparametric and semiparametric methods applicable to many types of life history data. Special models such as illness-death;

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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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Nonlinear Time Series

overview of the latest developments in the field, Nonlinear Time Series: Semiparametric and Nonparametric Methods focuses on various semiparametric;

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Nonlinear Time Series

overview of the latest developments in the field, Nonlinear Time Series: Semiparametric and Nonparametric Methods focuses on various semiparametric;

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Nonparametric Econometrics

Until now, students and researchers in nonparametric and semiparametric statistics and econometrics have had to turn to the latest journal;

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Nonparametric Inference on Manifolds

establishes the effectiveness of the new methods and demonstrates how they outperform their parametric counterparts. Inference is developed for both;

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Nonparametric Inference On Manifolds

establishes the effectiveness of the new methods and demonstrates how they outperform their parametric counterparts. Inference is developed for both;

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