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Statistical Modeling and Applications: Multivariate, Heavy-Tailed, Skewed Distributions and Mixture Modeling, Volume 2
Hardcover
Series: Emerging Topics in Statistics and Biostatistics
ISBN13: 9783031696213
Publisher: Springer
Published: Dec 19 2024
Pages: 250
Weight: 1.23
Height: 0.63 Width: 6.14 Depth: 9.21
Language: English
This book provides an overview and compilation of emerging topics in mathematical and statistical theories and methods, through their applications to evidence-based public health research and decision-making. Each contributor are researchers around the globe, engaged in mathematical and statistical methods and applications to present their current and cutting-edge research achievements. All chapters share their data and computing program, to promote their developed mathematical and statistical methods in association to solve real-life applications.
Evidence-based public health research and applications call for modern mathematical and statistical methods. This book covers topics in 3 parts as: 1) Mathematical Modeling, where 9 chapters are included, 2) Statistical Modelling, where 10 chapters are included, and 3) Real-World Applications, where 7 chapters are included.
Topics included, should appeal to both expert mathematicians and statisticians as well as health researchers interested in methodological applications in evidence-based health research. The book will be a resourceful manual and can be used as an authoritative reference. The features covered in this book will appeal to researchers where public health research is being rigorously conducted.
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