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 ...
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.
This book provides an up-to-date, coherent and comprehensive treatment of digital scholarly editing, organized according to the typical timeline and workflow of the preparation of an edition: from the choice of the object to edit, the ...