Robustness Tests for Quantitative Research - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Robustness Tests for Quantitative Research write by Eric Neumayer. This book was released on 2017-08-17. Robustness Tests for Quantitative Research available in PDF, EPUB and Kindle. This highly accessible book presents robustness testing as the methodology for conducting quantitative analyses in the presence of model uncertainty.
Robustness Tests for Quantitative Research
Robustness Tests for Quantitative Research - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Robustness Tests for Quantitative Research write by Eric Neumayer. This book was released on 2017. Robustness Tests for Quantitative Research available in PDF, EPUB and Kindle. The uncertainty that researchers face in specifying their estimation model threatens the validity of their inferences. In regression analyses of observational data, the 'true model' remains unknown, and researchers face a choice between plausible alternative specifications. Robustness testing allows researchers to explore the stability of their main estimates to plausible variations in model specifications. This highly accessible book presents the logic of robustness testing, provides an operational definition of robustness that can be applied in all quantitative research, and introduces readers to diverse types of robustness tests. Focusing on each dimension of model uncertainty in separate chapters, the authors provide a systematic overview of existing tests and develop many new ones. Whether it be uncertainty about the population or sample, measurement, the set of explanatory variables and their functional form, causal or temporal heterogeneity, or effect dynamics or spatial dependence, this book provides guidance and offers tests that researchers from across the social sciences can employ in their own research.
Robustness Tests for Quantitative Research
Robustness Tests for Quantitative Research - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Robustness Tests for Quantitative Research write by Eric Neumayer. This book was released on 2017-08-11. Robustness Tests for Quantitative Research available in PDF, EPUB and Kindle. The uncertainty that researchers face in specifying their estimation model threatens the validity of their inferences. In regression analyses of observational data, the 'true model' remains unknown, and researchers face a choice between plausible alternative specifications. Robustness testing allows researchers to explore the stability of their main estimates to plausible variations in model specifications. This highly accessible book presents the logic of robustness testing, provides an operational definition of robustness that can be applied in all quantitative research, and introduces readers to diverse types of robustness tests. Focusing on each dimension of model uncertainty in separate chapters, the authors provide a systematic overview of existing tests and develop many new ones. Whether it be uncertainty about the population or sample, measurement, the set of explanatory variables and their functional form, causal or temporal heterogeneity, or effect dynamics or spatial dependence, this book provides guidance and offers tests that researchers from across the social sciences can employ in their own research.
Robustness Tests for Quantitative Research
Robustness Tests for Quantitative Research - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Robustness Tests for Quantitative Research write by Eric Neumayer. This book was released on 2017-08-17. Robustness Tests for Quantitative Research available in PDF, EPUB and Kindle. The uncertainty that researchers face in specifying their estimation model threatens the validity of their inferences. In regression analyses of observational data, the 'true model' remains unknown, and researchers face a choice between plausible alternative specifications. Robustness testing allows researchers to explore the stability of their main estimates to plausible variations in model specifications. This highly accessible book presents the logic of robustness testing, provides an operational definition of robustness that can be applied in all quantitative research, and introduces readers to diverse types of robustness tests. Focusing on each dimension of model uncertainty in separate chapters, the authors provide a systematic overview of existing tests and develop many new ones. Whether it be uncertainty about the population or sample, measurement, the set of explanatory variables and their functional form, causal or temporal heterogeneity, or effect dynamics or spatial dependence, this book provides guidance and offers tests that researchers from across the social sciences can employ in their own research.
Introduction to Robust Estimation and Hypothesis Testing
Introduction to Robust Estimation and Hypothesis Testing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Robust Estimation and Hypothesis Testing write by Rand R. Wilcox. This book was released on 2012-01-12. Introduction to Robust Estimation and Hypothesis Testing available in PDF, EPUB and Kindle. "This book focuses on the practical aspects of modern and robust statistical methods. The increased accuracy and power of modern methods, versus conventional approaches to the analysis of variance (ANOVA) and regression, is remarkable. Through a combination of theoretical developments, improved and more flexible statistical methods, and the power of the computer, it is now possible to address problems with standard methods that seemed insurmountable only a few years ago"--
