Designed for R users, the book is also ideal for anyone wanting to better understand the algorithms used for statistical model fitting.The text presents algorith
The book is intended for students, practitioners, and researchers in fields such as survey and market research, psychological research, official statistics and customer satisfaction research.
A strength of the text is the noteworthy emphasis on the role of models in statistical analysis. This is the new, fully-revised edition to the book Bayesian Core: A Practical Approach to Computational Bayesian Statistics.
Even the most hesitant student is likely to embrace the material with this text." —David A.M. Peterson, Department of Political Science, Iowa State University Drawing on examples from across the social and behavioral sciences, Statistics ...
The present study thus provides a window into the development of legal and theological reasoning in the medieval West, and suggests that, thanks to the work of ambitious bishops, the flowering of law and theology began far earlier, and for ...
This innovative book takes seriously the ordinary activities of entrepreneurship and maps out new pathways for scholars to understand the nature, properties, and implications of studying practices for entrepreneurship studies.
All data sets and examples described in the book are available online and are written using the freely available statistical package R. This book will be of particular value to beginning graduate students and postdoctoral researchers of ...