"In this study of the history of statistics, which begins with probability theory in the seventeenth century, Alain Desrosieres shows how the evolution of modern statistics has been inextricably bound up with the knowledge and power of governments. He traces the complex reciproc…
This stimulating overview of current innovations in teaching and learning statistics reflects both ongoing trends in the field and the increasing relevance of statistics in our data-driven era. A global panel of scholars, educators, and researchers documents wide-scale challenge…
« Molecular biology is undergoing exponential growth in both the volume and complexity of biological data. This book offers the first comprehensive overview of data mining, preprocessing, postprocessing, and storage for biological data. It surveys the latest approaches and techn…
The handbook establishes the connections in multilevel modelling, bringing together leading experts from around the world to provide a roadmap for applied researchers linking theory and practice, as well as an arsenal of state-of-the-art tools. In so doing, it forges vital conne…
"Medical Statistics at a Glance is a concise and accessible introduction and revision aid for this complex subject. The self-contained chapters explain the underlying concepts of medical statistics and provide a guide to the most commonly used statistical procedures. Medical Sta…
"This book provides practical guidance for statisticians, clinicians, and researchers involved in clinical trials in the biopharmaceutical industry, medical and public health organisations. Academics and students needing an introduction to handling missing data will also find th…
This volume, edited by Jeffrey Racine, Liangjun Su, and Aman Ullah, contains the latest research on nonparametric and semiparametric econometrics and statistics. Chapters by leading international econometricians and statisticians highlight the interface between econometrics and …
This volume, edited by Jeffrey Racine, Liangjun Su, and Aman Ullah, contains the latest research on nonparametric and semiparametric econometrics and statistics. These data-driven models seek to replace the "classical" parametric models of the past, which were rigid and often li…
This volume, edited by Jeffrey Racine, Liangjun Su, and Aman Ullah, contains the latest research on nonparametric and semiparametric econometrics and statistics. These data-driven models seek to replace the ""classical"" parametric models of the past, which were rigid and often …