Shulph Ink
Analytical Methods in Statistics: AMISTAT, Liberec, Czech Republic, September 2019
Analytical Methods in Statistics: AMISTAT, Liberec, Czech Republic, September 2019
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Excellent- More about Analytical Methods in Statistics: AMISTAT, Liberec, Czech Republic, September 2019
This book collects peer-reviewed contributions on modern statistical methods and topics, covering analytical methods, asymptotics, estimation, robustness, stochastic models, and inequalities, and addressing real-life problems with new methods.
Format: Paperback / softback
Length: 156 pages
Publication date: 21 July 2021
Publisher: Springer Nature Switzerland AG
This comprehensive book presents a collection of peer-reviewed contributions on modern statistical methods and topics, stemming from the third workshop on Analytical Methods in Statistics (AMISTAT) 2019, held in Liberec, Czech Republic, from September 16 to 19, 2019. The demand for statistical solutions in real-life problems necessitates the development of new and profound mathematical methods. Consequently, this book goes beyond being a mere compilation of solved problems and serves as a valuable source of innovative methods and their practical applications.
The authoritative contributions in this book focus on various areas of analytical methods in statistics, including asymptotics, estimation, Fisher information, robustness, stochastic models, and inequalities. Moreover, they delve into diverse topics such as average autoregression quantiles, neural networks, weighted empirical minimum distance estimators, implied volatility surface estimation, the Grenander estimator, non-Gaussian component analysis, meta learning, and high-dimensional errors-in-variables models.
The contributions in this book are written by renowned experts in the field, ensuring the highest quality and relevance of the content. Each chapter provides a thorough overview of the discussed topics, accompanied by detailed examples and case studies to illustrate the practical applications of the methods. The book is designed to be a valuable resource for researchers, practitioners, and students interested in advancing their knowledge and expertise in statistical analysis and modeling.
Weight: 267g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030488161
Edition number: 1st ed. 2020
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