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Regression Models for Categorical and Count Data

regression analysis on categorical and count data. The author covers both the theory and application of statistical models, with the help;

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Regression Analysis of Count Data

doctor, auto accidents or job hiring. This analysis provides a comprehensive account of models and methods to interpret such data. The authors;

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Handbook for Applied Modeling

explains core models such as logistic regression, count regression, longitudinal regression, survival analysis, and structural equation modelling;

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Statistical Analysis of Categorical Data

of topics necessary to develop a well-rounded understanding of modern categorical data analysis, including: Logistic regression and log-linear;

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Applied Categorical and Count Data Analysis

Developed from the authors' graduate-level biostatistics course, Applied Categorical and Count Data Analysis explains how to perform the;

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Handbook for Applied Modeling

explains core models such as logistic regression, count regression, longitudinal regression, survival analysis, and structural equation modelling;

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Regression Models For Time Series Analysis

models (GLM) which provides, under some conditions, a unified regression theory suitable for continuous, categorical, and count data. The authors;

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Categorical Data Analysis and Multilevel Modeling Using R

Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal;

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Regression With Social Data

response models* Poisson, negative binomial, and other regression models for event-count data* Survival analysis using multistate, multiepisode;

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Statistical Regression Modeling with R

regression for count data. It then progresses to these regression models that work with longitudinal and multi-level data structures. The volume;

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Statistical Regression Modeling with R

regression for count data. It then progresses to these regression models that work with longitudinal and multi-level data structures. The volume;

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Cambridge Series in Statistical and Probabilistic Mathematics

data analysis are treated here, such as nonparametric regression; selection of predictors by regularized estimation procedures; ternative;

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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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Handbook of Regression Analysis

A Comprehensive Account for Data Analysts of the Methods and Applications of Regression Analysis. Written by two established experts in the;

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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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Gaussian Process Regression Analysis for Functional Data

Gaussian Process Regression Analysis for Functional Data presents nonparametric statistical methods for functional regression analysis;

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Regression Analysis of Survival Data in Cancer Chemotherapy

This book presents ideas and procedures for regression analysis of survival data in cancer chemotherapy based on regression-based;

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Regression Models for Categorical, Count, and Related Variables

Social science and behavioral science students and researchers are often confronted with data that are categorical, count a phenomenon, or;

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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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Advanced Regression Models with SAS and R

for each regression. Discusses data that are categorical, count, proportions, right-skewed, longitudinal and hierarchical;

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Advanced Regression Models with SAS and R

framework for each regression. Discusses data that are categorical, count, proportions, right-skewed, longitudinal and hierarchical;

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Classroom Supplement to Regression Analysis and its Application

underlying the techniques utilized in regression analysis and illustrates their application on a variety of data sets.;

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Handbook of Regression Analysis With Applications in R

and regression, the Handbook of Regression Analysis will also be invaluable to practicing data scientists and statisticians.;

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QUANTILE REGRESSION - Applications on Experimental and Cross Section Data Using EVIEWS

, and healthcare, particularly those specializing in regression and quantitative data analysis.;

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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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Econometric Society Monographs

of time series, multivariate and panel data, expanded treatment of endogenous regressors, coverage of quantile count regression, and a new chapter;

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Econometric Society Monographs

of time series, multivariate and panel data, expanded treatment of endogenous regressors, coverage of quantile count regression, and a new chapter;

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