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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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Gaussian Process Regression Analysis for Functional Data

discuss functional data analysis, theoretical aspects based on the asymptotic properties of Gaussian process regression models, and new;

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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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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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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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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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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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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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Regression Analysis with Python

, who want to learn how to do regression analysis on a dataset. It is beneficial if you have some knowledge of statistics and data science;

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Bayesian Ideas And Data Analysis

regression, analysis of variance, and Poisson regression, before extending these methods to handle correlated data. The authors also examine survival;

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Business Applications of Multiple Regression

management and data analysis. This book on correlation and regression analysis will have a non-mathematical, applied, data-analytic approach. Readers;

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Nonparametric Regression Methods For Longitudinal Data Analysis

nonparametric regression techniques for longitudinal data analysis and systematically investigates the incorporation of mixed-effects modeling;

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Data Analysis and Regression

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Introductory Statistics with R

methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way;

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Regression Analysis with R

want to implement regression analysis techniques using R. If you are interested in statistics, data science, machine learning and wants to get an;

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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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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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Multivariate Analysis for the Behavioral Sciences, Second Edition

, logistic regression, and survival analysis. There are further chapters covering longitudinal data and missing values, before the last seven;

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Multivariate Analysis for the Behavioral Sciences, Second Edition

, logistic regression, and survival analysis. There are further chapters covering longitudinal data and missing values, before the last seven;

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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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Linear Regression Analysis

This volume presents in detail the fundamental theories of linear regression analysis and diagnosis, as well as the relevant statistical;

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Analysis of Variance, Design, and Regression

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling;

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Analysis of Variance, Design, and Regression

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling;

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Regression Models For Time Series Analysis

is not appropriate. This book introduces the reader to newer developments and more diverse regression models and methods for time series analysis;

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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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