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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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Solutions Manual to accompany Modern Regression Methods, 2e

. ( Computing Reviews ) Modern Regression Methods, Second Edition maintains the accessible organization, breadth of coverage, and cutting-edge appeal;

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Applied Regression Analysis and Generalized Linear Models

Providing a modern treatment of regression analysis, linear models and closely related methods, this book introduces students to one of the;

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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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Multivariate Nonparametric Regression And Visualization

A modern approach to statistical learning and its applications through visualization methods With a unique and innovative presentation;

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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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Mostly Harmless Econometrics

The core methods in today's econometric toolkit are linear regression for statistical control, instrumental variables methods for the;

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Applied Linear Regression 4th Ed

variance assumptions * Updated methodology, such as bootstrapping, cross-validation binomial and Poisson regression, and modern model selection;

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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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Spatial Regression Models for the Social Sciences

Focusing on the methods that are commonly used by social scientists, this text introduces the regression methods for analysing spatial data.;

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Introduction to Robust Estimation and Hypothesis Testing

-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used;

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Modern Epidemiology

, sensitivity analysis, and bias analysis, with an extensive overview of modern regression methods including logistic and survival regression, splines;

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Student Solutions Manual for Kleinbaum's Applied Regression Analysis and Other Multivariable Methods, 5th

The SSM features worked solutions to select problems in Applied Regression Analysis and Other Multivariable Methods, 5e.;

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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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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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Regression Models For Time Series Analysis

. Accessible to anyone who is familiar with the basic modern concepts of statistical inference, Regression Models for Time Series Analysis provides a;

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Introduction to Robust Estimation and Hypothesis Testing

easy-to-use software. This trusted resource provides an overview of modern robust methods, including improved techniques for dealing with;

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Modern Epidemiology

The thoroughly revised and updated Third Edition of the acclaimed Modern Epidemiology reflects both the conceptual development of this;

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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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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 Including Computing and Graphics

graphics, computing, and regression models; and wind up with a modern, fully integrated approach to one of the most important tools of data;

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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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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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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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