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Meta-Regression Analysis in Economics and Business

The purpose of this book is to introduce novice researchers to the tools of meta-analysis and meta-regression analysis and to summarize the;

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Meta-Regression Analysis in Economics and Business

The purpose of this book is to introduce novice researchers to the tools of meta-analysis and meta-regression analysis and to summarize the;

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Meta-Regression Analysis

This volume celebrates the innovative and rapidly growing area of economic research known as meta-regression analysis (MRA). * Shows how;

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Doing Meta-Analysis with R

This book serves as an accessible introduction into how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered;

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Regression Analysis

The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for;

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Statistical Meta-Analysis With Applications

covered include: Meta-analysis regression procedures Multiple-endpoint and multiple-treatment studies The Bayesian approach to meta-analysis;

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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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Meta-Analytics

Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use;

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Applied Regression and Modeling

regression analysis with applications, and (3) regression and modeling including the second order models, nonlinear regression, and interaction;

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Meta Analysis

meta-regression, dose-response meta-analysis, and publication bias. The main attraction for readers is the book's simplicity and;

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Meta Analysis

meta-regression, dose-response meta-analysis, and publication bias. The main attraction for readers is the book's simplicity and;

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Applied Regression Analysis for Business

supporting business decisions. A significant part of the book is devoted to traps and pitfalls in implementing regression analysis in real-world;

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Applied Linear Regression 4th Ed

Institute The Fourth Edition of Applied Linear Regression provides a thorough update of the basic theory and methodology of linear regression;

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Introductory Regression Analysis

Regression analysis is arguably the single most powerful and widely applicable tool in any effective examination of common business issues;

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Introductory Regression Analysis

Regression analysis is arguably the single most powerful and widely applicable tool in any effective examination of common business issues;

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Handbook of Meta-Analysis

Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and;

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Applied Meta-Analysis with R and Stata

-analysis... A useful hands-on guide for practitioners who want to familiarize themselves with the fundamentals of meta-analysis and get started;

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Applied Meta-Analysis with R and Stata

-analysis... A useful hands-on guide for practitioners who want to familiarize themselves with the fundamentals of meta-analysis and get started;

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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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Correlation And Regression Analysis

and Concomitants Volume Two: Factor Analysis, Regression Diagnostics, and Model Building Volume Three: Data Transformations;

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Data Analysis for Business, Economics, and Policy

wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the;

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Data Analysis for Business, Economics, and Policy

wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the;

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Introductory Statistics

literature) to support the theoretical discussion. Emphasizes the regression model, including nonlinear and multiple regression. Topics covered;

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Business Applications of Multiple Regression

management and data analysis. This book on correlation and regression analysis will have a non-mathematical, applied, data-analytic approach. Readers;

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Applied Statistics for Business and Economics

regression). The final chapter introduces classical time-series analysis and how it applies to business and economics. This text provides a;

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Predictive Analytics

regression, logistic regression (binary and multinomial), discriminant analysis, Bayesian classification, generalized linear models and Cox;

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