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Semiparametric Regression

social scientists, epidemiologists, with a good working knowledge of regression and the desire to begin using more flexible semiparametric models;

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Semiparametric Regression

social scientists, epidemiologists, with a good working knowledge of regression and the desire to begin using more flexible semiparametric models;

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Semiparametric Regression for the Social Sciences

examples drawn from the social and political sciences. Each chapter includes exercises and examples and there is a supplementary website containing;

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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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Regression

The aim of this book is an applied and unified introduction into parametric, non- and semiparametric regression that closes the gap between;

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Spatial Regression Models for the Social Sciences

Focusing on the methods that are commonly used by social scientists, this text introduces the regression methods for analysing spatial data.;

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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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Quantile Regression

connections between this increasingly sought-after tool and research topics in the social sciences. Quantile regression as a method does not rely on;

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Regression And Time Series Model Selection

selection techniques for univariate and multivariate regression models, univariate and multivariate autoregressive models, nonparametric (including;

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Regression Modeling: Methods, Theory, and Computation with SAS

, nonlinear least squares, and time-series regression issues. For most of the regression methods, the author includes SAS procedure code, enabling;

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Regression Modeling: Methods, Theory, and Computation with SAS

, nonlinear least squares, and time-series regression issues. For most of the regression methods, the author includes SAS procedure code, enabling;

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Regression: Models, Methods and Applications

regression that closes the gap between theory and application. The most important models and methods in regression are presented on a solid formal;

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Handbook of Regression Methods

Handbook of Regression Methods concisely covers numerous traditional, contemporary, and nonstandard regression methods. The handbook;

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

, engineering, and the biomedical sciences to illustrate and highlight the methods described within. Linear regression models for doubly truncated;

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Smoothing Splines

regression, and semiparametric mixed-effects models. It also presents methods for model selection and inference. The book provides unified;

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Smoothing Splines

regression, and semiparametric mixed-effects models. It also presents methods for model selection and inference. The book provides unified frameworks;

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Regression Analysis for the Social Sciences

Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic;

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Regression Analysis for the Social Sciences

Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic;

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Applied Regression Analysis and Other Multivariable Methods

An introductory text for undergraduates, graduates, and working professionals; emphasizes applications in public health, biology, and the;

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Time Series Analysis for the Social Sciences

Time series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time series properties;

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Spatial Regression Models

Demonstrating the use of spatial analysis in the social sciences within a regression framework, the second edition of this text employs;

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Meta-Regression Analysis in Economics and Business

state of the art for existing practitioners. Meta-regression analysis addresses the rising Tower of Babel that current economics and business;

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Meta-Regression Analysis in Economics and Business

state of the art for existing practitioners. Meta-regression analysis addresses the rising Tower of Babel that current economics and business;

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Primer of Applied Regression & Analysis of Variance, Third Edition

Primer of Applied Regression & Analysis of Variance is a textbook especially created for medical, public health, and social and environmental;

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Logistic Regression Using The Sas System

implement it using the SAS System. Allison includes several detailed, real-world examples of the social sciences to provide readers with a better;

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Regression With Social Data

An accessible introduction to the use of regression analysis in the social sciences Regression with Social Data: Modeling Continuous and;

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Solutions Manual to accompany Modern Regression Methods, 2e

the appropriate resources for further study An accessible guide to state-of-the-art regression techniques, Modern Regression Methods, Second;

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