
Current Approaches in Applied Statistics II
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This book, titled Current Approaches in Applied Statistics, is a compilation of recent academic studies produced by researchers from different disciplines. The book covers not only theoretical contributions in the field of statistics, but also the innovative dimensions of methods used in a wide variety of application areas.
Today's rapidly increasing volume and diversity of data has led statistics to transcend being a science based solely on mathematical foundations and take on a critical role in many fields, from health sciences to engineering, social sciences to environmental research. Reflecting this broad sphere of influence, this book aims to present readers with both theoretical approaches and application examples from different disciplines.
The chapters in this book, prepared with contributions from international researchers, highlight the current importance of statistics, the methodological challenges encountered, and new solutions. Readers will encounter content that is useful both academically and practically in areas such as statistical modeling, data mining, machine learning, biostatistics, and social statistics.
We believe this work will provide researchers, graduate students, and practitioners with a comprehensive overview of current approaches to statistics. We thank all the authors and reviewers who contributed to this book and hope it will make a valuable contribution to the scientific community.