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A First Course in Business Statistics

Features coverage of regression analysis, with three chapters covering simple regression multiple regression and model building. This work;

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Business Applications of Multiple Regression

A basic understanding of multiple regression is helpful in carrying out good business practices-specifically in the areas of demand;

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Applied Regression and Modeling

The book is divided into three parts - (1) prerequisite to regression analysis followed by a discussion on simple regression, (2) multiple;

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Applied Multiple Regression/Correlation Analysis For The Beh

This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its;

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Regression and Analysis of Variance

This book provides an in-depth overview of simple and multiple linear regression analysis, one-way and multi-way analysis of variance, and;

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Applied Regression Analysis for Business

regression. The authors discuss commonly applied econometric procedures, which are useful in building regression models for economic forecasting and;

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Interaction Effects in Multiple Regression

Interaction Effects in Multiple Regression has provided students and researchers with a readable and practical introduction to conducting;

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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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Multiple-Regression in Behavioral Research

Multiple Regression in Behavioral Research adopts a data-analysis approach to multiple regression. Pedhazur integrates design and analysis;

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Understanding Regression Assumptions

Through the use of careful explanations and examples, Berry shows the reader how to consider whether the assumptions of multiple regression;

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Introductory Statistics for Business and Economics

the use of computers. The regression model is well covered, including both nonlinear and multiple regression. The chapters contain many real;

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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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Business Statistics

. Business Statistics II includes analysis of variance, simple linear regression, correlation analysis, multiple regression analysis, non parametric;

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Computer Software Applications In Chemistry

multiple linear regression using MREG, principal-components analysis, Monte Carlo integration, parameterization of the force field, and molecular;

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Student Workbook to accompany Introductory Statistics for Business and Economics 4e and Introductory Statistics 5e

the use of computers. The regression model is well covered, including both nonlinear and multiple regression. The chapters contain many real;

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Regression Analysis Microsoft Excel

This is today's most complete guide to regression analysis with Microsoft (R) Excel for any business analytics or research task. Drawing on;

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Multiple Regression and Beyond

This book is designed to provide a conceptually-oriented introduction to multiple regression. It is divided into two main parts: the author;

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Multiple Regression

Multiple regression is at the heart of social science data analysis, because it deals with explanations and correlations. This book is a;

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Statistics at Square Two 3e

, including the different types of data, statistical models, and computer-intensive methods Comprehensive explorations of multiple linear regression;

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Correlation and Regression Analysis

Correlation and Regression Analysis: Applications for Industrial Organizations book discusses the important theoretical concepts such as;

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Theory Of Preliminary Test And Stein-Type Estimation With Applications

various topics, including: Simple linear model; ANOVA; parallelism model; multiple regression model with non-stochastic and stochastic;

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Univariate and Multivariate General Linear Models

unrestricted GLMs to analyze multiple regression and ANOVA designs as well as restricted GLMs to study ANCOVA designs and repeated measurement designs;

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Univariate and Multivariate General Linear Models

unrestricted GLMs to analyze multiple regression and ANOVA designs as well as restricted GLMs to study ANCOVA designs and repeated measurement designs;

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Multiple Regression And Beyond

Multiple Regression and Beyond offers a conceptually oriented introduction to multiple regression (MR) analysis, along with more complex;

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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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