About this book series

The book series is aimed at promoting the emerging research and case studies in the discipline of statistical science and cutting-edge computational data analytics by publishing books on theoretical foundations, computational techniques, methods, models and their applications. In addition to methodological research, the series also includes volumes on case studies that illustrate novel methods with applications to allied sciences including but not limited to biological, biomedical, epidemiological, engineering, finance, statistical learning and artificial intelligence. The books published within this series will be of interest not only to statisticians and researchers in academia but also to practitioners in industries and government institutions. The series encompasses theoretical aspects of statistical methods, as well as innovative applications and their properties in the context of big data analytics, and data science, in general. The scope of the series is broad based such that it can publish a reference book of various topics of statistical instructions as well as advanced research monographs. A few volumes of this series may include articles presented by eminent researchers and practitioners at the annual conferences of the International Indian Statistical Association (IISA) and will also include articles that provides comprehensive overview of some of the emerging and changing foci of statistical sciences and data analytics.
Electronic ISSN
2524-7492
Print ISSN
2524-7484
Series Editor
  • Sujit Kumar Ghosh,
  • Susmita Datta,
  • Subrata Kundu