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Regression Analysis by Example

, empirical rules, and subjective judgment. Regression Analysis by Example, Fifth Edition has been expanded and thoroughly updated to reflect recent;

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Regression Analysis and Its Application: A Data-Oriented Approach

Regression Analysis and Its Application: A Data-Oriented Approach answers the need for researchers and students who would like a better;

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Regression Analysis and its Application

Regression Analysis and Its Application: A Data-Oriented Approach answers the need for researchers and students who would like a better;

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SAS Statistics by Example

, ANOVA, correlation, linear and multiple regression, analysis of categorical data, logistic regression, nonparametric techniques, and power and;

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SAS Statistics by Example

, ANOVA, correlation, linear and multiple regression, analysis of categorical data, logistic regression, nonparametric techniques, and power and;

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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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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 with Python

Learn the art of regression analysis with Python About This Book * Become competent at implementing regression analysis in Python;

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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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Measurement, Regression, and Calibration

continuum regression. Chapter 8 on pattern recognition may also be of us by itself in courses on multivariate analysis and Bayesian Statistics.;

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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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Regression Analysis Microsoft Excel

your regressions are really doing, and evaluate analyses performed by others. From simple correlations and t-tests through multiple analysis;

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Applying Regression & Correlation

This book takes a fresh look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis;

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Nonlinear Regression with R

- Coherent and unified treatment of nonlinear regression with R. - Example-based approach. - Wide area of application.;

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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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Conventional and Fuzzy Regression

Conventional and Fuzzy Regression: Theory and Applications aims to present both conventional and fuzzy regression analyses from theoretical;

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

Regression Analysis solves this issue by breaking down regression to its simplest terms and providing easy-to-read charts and explanations that can;

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Image Processing And Jump Regression Analysis

Image Processing and Jump Regression Analysis builds a bridge between the worlds of computer graphics and statistics by addressing both;

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Applied Statistics

in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression;

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Applied Regression Analysis

This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data;

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Applied Regression Analysis

This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data;

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Introduction to Applied Bayesian Statistics and Estimation for Social Scientists

This book outlines Bayesian statistical analysis in great detail, from the development of a model through the process of making statistical;

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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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Handbook for Applied Modeling

explains core models such as logistic regression, count regression, longitudinal regression, survival analysis, and structural equation modelling;

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Time Series Analysis and Forecasting by Example

An intuition-based approach enables you to master time series analysis with ease Time Series Analysis and Forecasting by Example provides;

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