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First Hitting Time Regression Models

first hitting time regression models (or threshold regression) presented here represent observed events as the outcome of an underlying;

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Data Analysis Using Regression & Multi

Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied;

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Regression Models For Time Series Analysis

A thorough review of the most current regression methods in time series analysis Regression methods have been an integral part of time;

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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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Ordered Regression Models

well as variations based on the application of the parallel regression assumption. The authors first introduce the three parallel ordered;

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Ordered Regression Models

well as variations based on the application of the parallel regression assumption. The authors first introduce the three parallel;

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Partially Linear Models

In the last ten years, there has been increasing interest and activity in the general area of partially linear regression smoothing;

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Forecasting with Dynamic Regression Models

This volume presents the basic concepts and practice of building, using and interpreting single equation dynamic regression models (also;

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Data Analysis Using Regression and Multilevel/Hierarchical Models

"Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to;

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SAP Predictive Analytics The Comprehensive Guide Rheinwerk Publishing

Leave your crystal ball behind and peer into the future with SAPPredictive Analytics. Master predictive models-regression, time series;

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Gaussian Process Regression Analysis for Functional Data

and mixed covariates of functional and scalar variables. Covering the basics of Gaussian process regression, the first several chapters;

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Dynamic Regression Models for Survival Data

This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the Cox model and;

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Dynamic Regression Models for Survival Data

This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the Cox model and;

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Simultaneous Inference in Regression

Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods;

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Simultaneous Inference in Regression

Simultaneous confidence bands enable more intuitive and detailed inference of regression analysis than the standard inferential methods;

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Confidence Intervals in Generalized Regression Models

A Cohesive Approach to Regression Models Confidence Intervals in Generalized Regression Models introduces a unified representation-the;

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Confidence Intervals in Generalized Regression Models

A Cohesive Approach to Regression Models Confidence Intervals in Generalized Regression Models introduces a unified representation-the;

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Interpreting and Visualizing Regression Models Using Stata

Interpreting and Visualizing Regression Models Using Stata, Second Edition provides clear and simple examples illustrating how to interpret;

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Survival Analysis Using S

analysis for upper-level or graduate students in statistics, biostatistics, and epidemiology. Prerequisites are a standard pre-calculus first;

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Time Series Analysis for the Social Sciences

-Steffensmeier, John R. Freeman, Jon C. Pevehouse and Matthew P. Hitt cover a wide range of topics including ARIMA models, time series regression, unit;

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Dealing with Endogeneity in Regression Models with Dynamic Coefficients

Dealing with Endogeneity in Regression Models with Dynamic Coefficients presents a unified econometric framework for dealing with the;

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Quantile Regression for Cross-Sectional and Time Series Data: Applications in Energy Markets Using R

This brief addresses the estimation of quantile regression models from a practical perspective, which will support researchers who need to;

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Applied Linear Models with SAS

This textbook for a second course in basic statistics for undergraduates or first-year graduate students introduces linear regression;

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Regression Models as a Tool in Medical Research

While regression models have become standard tools in medical research, understanding how to properly apply the models and interpret the;

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Regression Models As A Tool In Medical Research

While regression models have become standard tools in medical research, understanding how to properly apply the models and interpret the;

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Radiation Risk Estimation

This monograph discusses statistics and risk estimates applied to radiation damage under the presence of measurement errors. The first part;

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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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