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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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Dynamic Regression Models for Survival Data

This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the Cox model and;

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Dynamic Regression Models for Survival Data

This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the Cox model and;

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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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Introduction to Spatial Econometrics

Although interest in spatial regression models has surged in recent years, a comprehensive, up-to-date text on these approaches does not;

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Introduction to Spatial Econometrics

Although interest in spatial regression models has surged in recent years, a comprehensive, up-to-date text on these approaches does not;

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Attachment Disorganization

Regression toward the mean is a complex statistical principle that plays a crucial role in any research involving the measurement of change;

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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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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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Kernel Ridge Regression in Clinical Research

IBM (international business machines) has published in its SPSS statistical software 2022 update a very important novel regression method;

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Statistical Methods for Geographers

displaying and describing distributions, and covers a range of working methods including probability and sampling, simple linear regression;

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Regression Methods for Medical Research

Regression Methods for Medical Research provides medical researchers with the skills they need to critically read and interpret research;

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Alternative Regression Therapy .. Therapy. Spoon Fazer, CD

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The Multiple Facets of Partial Least Squares Methods

, and recent advances in regression and multi-block approaches. The rest of the volume comprises selected, reviewed contributions from the 8th;

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The Multiple Facets of Partial Least Squares and Related Methods

, and recent advances in regression and multi-block approaches. The rest of the volume comprises selected, reviewed contributions from the 8th;

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Multivariate Nonparametric Regression And Visualization

, Multivariate Nonparametric Regression and Visualization provides readers with the core statistical concepts to obtain complete and accurate predictions;

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Regression Analysis

devoted to the practical aspects of regression analysis and how to recognize the most common pitfalls. By doing so, the book will better;

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Regression Analysis

devoted to the practical aspects of regression analysis and how to recognize the most common pitfalls. By doing so, the book will better prepare;

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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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Advanced Statistics in Criminology and Criminal Justice

used to understand what influences outcomes in crime and justice. It presents a series of approaches from OLS multivariate regression, through;

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Alternative Methods of Regression

Of related interest. Nonlinear Regression Analysis and its Applications Douglas M. Bates and Donald G. Watts .an extraordinary;

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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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Robust Nonlinear Regression

The first book to discuss robust aspects of nonlinear regression-with applications using R software Robust Nonlinear Regression: with;

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Handbook of Regression Analysis With Applications in R

Handbook and reference guide for students and practitioners of statistical regression-based analyses in R Handbook of Regression;

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Modern Regression Methods

This set contains ISBN 978-0-470-08186-0 Modern Regression Methods, 2nd Edition and the Solutions Manual 978-0-470-09606-2.;

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