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, 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 answers the need for researchers and students who would like a better;
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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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, ANOVA, correlation, linear and multiple regression, analysis of categorical data, logistic regression, nonparametric techniques, and power and;
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, ANOVA, correlation, linear and multiple regression, analysis of categorical data, logistic regression, nonparametric techniques, and power and;
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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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concepts using well known international, comparative, and national examples of spatial regression analysis. Each example is presented alongside;
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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 adopts a data-analysis approach to multiple regression. Pedhazur integrates design and analysis;
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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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and 9780471370383 Applied Statistics: Analysis of Variance and Regression, Third Edition by Ruth M. Mickey, Olive Jean Dunn, Virginia A. Clark.;
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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 exposes the reader to the modern world of regression analysis. The material covered by this book;
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your regressions are really doing, and evaluate analyses performed by others. From simple correlations and t-tests through multiple analysis;
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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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- Coherent and unified treatment of nonlinear regression with R. - Example-based approach. - Wide area of application.;
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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: Theory and Applications aims to present both conventional and fuzzy regression analyses from theoretical;
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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 builds a bridge between the worlds of computer graphics and statistics by addressing both;
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in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression;
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This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data;
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This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data;
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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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Features coverage of regression analysis, with three chapters covering simple regression multiple regression and model building. This work;
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explains core models such as logistic regression, count regression, longitudinal regression, survival analysis, and structural equation modelling;
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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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