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The Critique of Regression

The Critique of Regression presents the most in-depth critique of regression available in the psychoanalytic literature, whilst presenting;

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The Critique of Regression

The Critique of Regression presents the most in-depth critique of regression available in the psychoanalytic literature, whilst presenting;

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Regression Modeling: Methods, Theory, and Computation with SAS

using SAS to solve a wide variety of regression problems. The author fully documents the SAS programs and thoroughly explains the output;

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Regression Modeling: Methods, Theory, and Computation with SAS

using SAS to solve a wide variety of regression problems. The author fully documents the SAS programs and thoroughly explains the output;

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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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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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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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Handbook of Regression Methods

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

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Ordered Regression Models

Alternatives presents regression models for ordinal outcomes, which are variables that have ordered categories but unknown spacing between the;

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Ordered Regression Models

Alternatives presents regression models for ordinal outcomes, which are variables that have ordered categories but unknown spacing between the;

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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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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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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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Solutions Manual to accompany Modern Regression Methods, 2e

Over the years, I have had the opportunity to teach several regression courses, and I cannot think of a better undergraduate text than this;

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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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Regression Models as a Tool in Medical Research

While regression models have become standard tools in medical research, understanding how to properly apply the models and interpret the;

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Regression Models As A Tool In Medical Research

While regression models have become standard tools in medical research, understanding how to properly apply the models and interpret the;

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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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Handbook of Quantile Regression

functions. Median regression, as introduced in the 18th century by Boscovich and Laplace, is a special case. In contrast to conventional mean;

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Advanced Regression Models with SAS and R

Advanced Regression Models with SAS and R exposes the reader to the modern world of regression analysis. The material covered by this book;

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Advanced Regression Models with SAS and R

Advanced Regression Models with SAS and R exposes the reader to the modern world of regression analysis. The material covered by this book;

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Sensitivity Analysis in Linear Regression

This volume treats linear regression diagnostics as a tool for the application of linear regression models to real-life data. The;

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