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Applied Regression Modeling

Edition of Applied Regression Modeling delivers a concise but comprehensive treatment of the application of statistical regression analysis for;

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Applied Ordinal Logistic Regression Using Stata: From Single-Level to Multilevel Modeling

Provides a unified framework for both single-level and multilevel modeling of ordinal categorical da;...

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Handbook for Applied Modeling

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data;

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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 for Applied Modeling

Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing non-Gaussian and correlated data;

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Statistical Regression Modeling with R

applied regression, as well as for practitioners and researchers in the fields of data science, statistical analytics, public health, and related;

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Statistical Regression Modeling with R

applied regression, as well as for practitioners and researchers in the fields of data science, statistical analytics, public health, and related;

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Correlation And Regression Analysis

It is no exaggeration to say that virtually all quantitative research in the social sciences is done with correlation and regression;

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Applied Linear Regression 4th Ed

Institute The Fourth Edition of Applied Linear Regression provides a thorough update of the basic theory and methodology of linear regression;

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Adaptive Regression for Modeling Nonlinear Relationships

when they are nonlinear. Data analysts will learn how to incorporate nonlinearity in one or more predictor variables into regression models for;

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Introduction to Spatial Econometrics

likelihood and Bayesian estimation, various types of spatial regression specifications, and applied modeling situations involving different;

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Introduction to Spatial Econometrics

likelihood and Bayesian estimation, various types of spatial regression specifications, and applied modeling situations involving different;

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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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MP Applied Linear Regression Models-Revised Edition with Student CD (Int'l Ed)

Kutner, Nachtsheim, Neter, Wasserman, Applied Linear Regression Models, 4/e (ALRM4e) is the long established leading authoritative text and;

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An R Companion to Applied Regression

An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied;

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Applied Logistic Regression

examining the relationship between a dichotomous outcome and a set of covariables. Applied Logistic Regression, Third Edition emphasizes;

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Regression Modeling: Methods, Theory, and Computation with SAS

Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques;

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Regression Modeling: Methods, Theory, and Computation with SAS

Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques;

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Robust Nonlinear Regression

coverage of this field covers a variety of both theoretical and applied topics surrounding robust nonlinear regression Addresses some commonly;

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Applied Predictive Modeling

Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data;

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Nonlinear Regression Modeling

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Modeling in Mathematics

representing noisy sounds with short-time sinusoids, robust Bayesian regularized estimation based on regression model and robust quadratic regression;

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Flexible Bayesian Regression Modelling

Flexible Bayesian Regression Modeling is a step-by-step guide to the Bayesian revolution in regression modeling, for use in advanced;

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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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Building Better Models with JMP Pro

and the methods used. Topics include: regression, logistic regression, classification and regression trees, neural networks, model cross;

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Applied Survival Analysis

available literature to9 guide researchers, practitioners, and students who wish to apply these methods to health-related areas of study. Applied;

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