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The SAGE Handbook of Regression Analysis and Causal Inference

Covering both general and advanced aspects of multivariate methods, this handbook focuses on regression analysis of cross-sectional and;

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Handbook of Regression Analysis With Applications in R

Analysis with Applications in R, Second Edition is a comprehensive and up-to-date guide to conducting complex regressions in the R statistical;

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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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Handbook of Regression Methods

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

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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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A Handbook of Statistical Analyses using R, Third Edition

recursive partitioning to cluster analysis. New to the Third Edition Three new chapters on quantile regression, missing values, and Bayesian;

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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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Handbk Statistical Analyses Using R 3rd

recursive partitioning to cluster analysis. New to the Third Edition Three new chapters on quantile regression, missing values;

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Handbook of Mixture Analysis

The book Handbook of Mixture Analysis is a collection of peer-reviewed articles featuring several statistical data analysis methods based;

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Handbook Of Statistical Analyses Using Stata

, variance analysis, multiple linear regression, logistic regression, generalized linear models, survival analysis, random effects models, and;

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A Handbook of Statistical Analyses Using Stata

, variance analysis, multiple linear regression, logistic regression, generalized linear models, survival analysis, random effects models, and;

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Handbook of Quantile Regression

Quantile regression constitutes an ensemble of statistical techniques intended to estimate and draw inferences about conditional quantile;

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Introduction to Linear Regression Analysis, 6th Edition

INTRODUCTION TO LINEAR REGRESSION ANALYSIS A comprehensive and current introduction to the fundamentals of regression analysis;

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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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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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Classroom Supplement to Regression Analysis and its Application

This book describes a comprehensive regression analysis to the conduct of scientific research. It outlines theoretical principals;

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Applied Regression Analysis

This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data;

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Applied Regression Analysis

This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data;

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Regression Analysis by Example

Praise for the Fourth Edition: This book is ...an excellent source of examples for regression analysis. It has been and still is readily;

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Interaction Effects in Multiple Regression

analyses of interaction effects in the context of multiple regression. The new addition will expand the coverage on the analysis of three way;

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Introductory Regression Analysis

Regression analysis is arguably the single most powerful and widely applicable tool in any effective examination of common business issues;

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Introductory Regression Analysis

Regression analysis is arguably the single most powerful and widely applicable tool in any effective examination of common business issues;

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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 Microsoft Excel

This is today's most complete guide to regression analysis with Microsoft (R) Excel for any business analytics or research task. Drawing on;

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Applying Regression & Correlation

This book takes a fresh look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis;

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Applied Regression and Modeling

The book is divided into three parts - (1) prerequisite to regression analysis followed by a discussion on simple regression, (2) multiple;

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Handbook of Statistical Analyses Using Stata, Fourth Edition

, variance analysis, multiple linear regression, logistic regression, generalized linear models, survival analysis, random effects models, and;

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