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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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Categorical Data Analysis Using SAS

Statisticians and researchers will find Categorical Data Analysis Using SAS, Third Edition, by Maura Stokes, Charles Davis, and Gary Koch;

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Handbook for Applied Modeling

. Many practitioners work with data that fail the assumptions of the common linear regression models, necessitating more advanced modeling;

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Practical Statistical Methods

scores, misclassification errors, interim analysis, conditional power, bootstrap, and jackknife. With SAS code and output integrated;

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Practical Statistical Methods

scores, misclassification errors, interim analysis, conditional power, bootstrap, and jackknife. With SAS code and output integrated;

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Nonparametric Methods in Statistics with SAS Applications

apply nonparametric techniques to statistical data. It starts with the tests of hypotheses and moves on to regression modeling, time-to-event;

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Nonparametric Methods In Statistics With Sas Applications

apply nonparametric techniques to statistical data. It starts with the tests of hypotheses and moves on to regression modeling, time-to-event;

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Adaptive Regression for Modeling Nonlinear Relationships

polynomial modeling in the standard, logistic, and Poisson regression contexts with continuous, discrete, and counts outcomes, respectively, either;

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Design and Analysis of Experiments

Approaches with SAS not only covers classical experimental design theory, it also explores regression approaches. Capitalizing on the availability;

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Design and Analysis of Experiments

Approaches with SAS not only covers classical experimental design theory, it also explores regression approaches. Capitalizing on the availability;

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Logistic Regression Using SAS

Allison's Logistic Regression Using SAS: Theory and Application, Second Edition, is for you! Informal and nontechnical, this book both explains the;

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Linear Models and TimeSeries Analysis

, ARMA and GARCH sets a strong foundation, in terms of distribution theory, for the linear model (regression and ANOVA), univariate time series;

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Bayesian Modeling and Computation in Python

Bayesian Modeling and Computation in Python aims to help beginner Bayesian practitioners to become intermediate modelers. It uses a hands;

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Biostatistics and Computer-based Analysis of Health Data Using SAS

epidemiological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential SAS;

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Modeling Survival Data

, and computation. The book shows how these new methods can be implemented in SAS and S-Plus, including computer code, worked examples, and data;

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Statistical Data Mining Using SAS Applications

fast and effectively. New to the Second Edition-General Features Access to SAS macros directly from desktop Compatible with;

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Logistic Regression Using The Sas System

Written in an informal and non-technical style, this book first explains the theory behind logistic regression and then shows how to;

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Advanced Regression Models with SAS and R

book presents the theory as well as fully worked-out numerical examples with complete SAS and R codes for each regression. The emphasis is on;

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Advanced Regression Models with SAS and R

book presents the theory as well as fully worked-out numerical examples with complete SAS and R codes for each regression. The emphasis is on;

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Logistic Regression Using SAS

Informal and nontechnical, this book both explains the theory behind logistic regression and looks at all the practical details involved;

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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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Statistical Modeling and Computation

Modeling and Computation provides a unique introduction to modern Statistics from both classical and Bayesian perspectives. It also offers an;

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Handbook for Applied Modeling

. Many practitioners work with data that fail the assumptions of the common linear regression models, necessitating more advanced modeling;

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Logistic Regression Using SAS

Allison's Logistic Regression Using SAS: Theory and Application, Second Edition, is for you! Informal and nontechnical, this book both explains the;

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Statistical Data Analysis Using SAS

introduction beyond the basics of SAS, illustrated with non-trivial, real-world, worked examples. It proceeds to SAS programming and applications, SAS;

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Introduction To Computation & Modeling F

Introduction to Computation and Modeling for Differential Equations, Second Edition features the essential principles and applications of problem;

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