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Regression . THEORIES, CD

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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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Robust Nonlinear Regression

Applications using R covers a variety of theories and applications of nonlinear robust regression. It discusses both parts of the classic and robust;

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Past Life Regression .. Regression. Papercuts, CD

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Understanding Regression Analysis

By assuming it is possible to understand regression analysis without fully comprehending all its underlying proofs and theories, this;

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Understanding Regression Analysis

By assuming it is possible to understand regression analysis without fully comprehending all its underlying proofs and theories, this;

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Natural Regression . SUKILOVE, CD

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Alternative Regression Therapy .. Therapy. Spoon Fazer, CD

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Spiritual Regression Methodology CD Set

Lives: Hypnotherapy for Spiritual Regression , and Destiny of Souls . Approximate running time: 90 minutes.;

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Correlation and Regression Analysis

Correlation and Regression Analysis: Applications for Industrial Organizations book discusses the important theoretical concepts such as;

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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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Advanced Linear Models

prediction. The authors discuss the application of statistical theories and methodologies to various linear models such as the linear regression;

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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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Statistical Regression Modeling with R

This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear;

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Statistical Regression Modeling with R

This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear;

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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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Handbook of Regression Methods

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

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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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Applied Regression Modeling

Master the fundamentals of regression without learning calculus with this one-stop resource The newly and thoroughly revised 3rd;

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Semiparametric Regression

Semiparametric regression is concerned with the flexible incorporation of non-linear functional relationships in regression analyses. Any;

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Semiparametric Regression

Semiparametric regression is concerned with the flexible incorporation of non-linear functional relationships in regression analyses. Any;

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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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Best Practices in Logistic Regression

This book explores the fun things researchers can do with logistic regression, explicates and simplifies the confounding complexities;

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