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Regression and Other Stories

Most textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This;

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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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Semiparametric Regression

ordinary parametric regression, this user-friendly book explains the techniques and benefits of semiparametric regression in a concise and modular;

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Semiparametric Regression

ordinary parametric regression, this user-friendly book explains the techniques and benefits of semiparametric regression in a concise and modular;

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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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Applied Linear Models with SAS

models and describes other linear models including Poisson regression, logistic regression, proportional hazards regression, and nonparametric;

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Logistic Regression

13 - Other Approaches for Analysis of Correlated Data. Chapters 9 and 10 extend logistic regression to response variables that have more than;

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Applied Regression Analysis

. Contrary to other textbooks on regression, this book is based on the idea that you do not necessarily need to know much about statistics and;

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Applied Regression Analysis

. Contrary to other textbooks on regression, this book is based on the idea that you do not necessarily need to know much about statistics and;

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Regression Periods in Human infancy

of regression periods as found by Dutch researchers in 1992 be replicated in other countries and cultures? *What environmental conditions have an;

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Unit Root, Cointegration, Granger-Causality, Threshold Regression and Other Econometric Modeling with Economics and Financial Data

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Quantile Regression

Quantile Regression, the first book of Hao and Naiman's two-book series, establishes the seldom recognized link between inequality studies;

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Logistic Regression Using SAS

, ordered logit analysis, discrete-choice analysis, and Poisson regression. Other highlights include discussions on how to use the GENMOD procedure;

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Regression Graphics

An exploration of regression graphics through computer graphics. Recent developments in computer technology have stimulated new and;

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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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Logistic Regression

other logistic regression text. The book keeps mathematical notation to a minimum, making it accessible to those with more limited statistics;

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Valuing Businesses Using Regression Analysis - A Quantitative Approach to the Guideline Company Transaction Method

valuation reports using regression analysis in Excel This book is an excellent choice for valuators and other financial professionals ready to;

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Logistic Regression Using SAS

, ordered logit analysis, discrete-choice analysis, and Poisson regression. Other highlights include discussions on how to use the GENMOD procedure;

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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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Regression Analysis with R

Simple linear regression Deal with interaction, collinearity and other problems using multiple linear regression Understand diagnostics and what;

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Measurement, Regression, and Calibration

specifically developed for spectroscopy. The other chapters are quite general in their applicability. Likelihood and Bayesian inference features;

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Spatial Regression Models

concepts using well known international, comparative, and national examples of spatial regression analysis. Each example is presented alongside;

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Regression Analysis and Linear Models

regression diagnostics, among other important topics. Engaging worked-through examples demonstrate each technique, accompanied by helpful advice and;

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Applied Logistic Regression

A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded;

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