Statistical Decision Theory

For advanced graduate students, this book is a one-stop shop that presents the main ideas of decision theory in an organized, balanced, and mathematically rigorous manner, while observing statistical relevance.

Statistical Decision Theory

For advanced graduate students, this book is a one-stop shop that presents the main ideas of decision theory in an organized, balanced, and mathematically rigorous manner, while observing statistical relevance. All of the major topics are introduced at an elementary level, then developed incrementally to higher levels. The book is self-contained as it provides full proofs, worked-out examples, and problems. The authors present a rigorous account of the concepts and a broad treatment of the major results of classical finite sample size decision theory and modern asymptotic decision theory. With its broad coverage of decision theory, this book fills the gap between standard graduate texts in mathematical statistics and advanced monographs on modern asymptotic theory.

More Books:

Statistical Decision Theory
Language: en
Pages: 677
Authors: F. Liese, Klaus-J. Miescke
Categories: Mathematics
Type: BOOK - Published: 2008-12-30 - Publisher: Springer Science & Business Media

For advanced graduate students, this book is a one-stop shop that presents the main ideas of decision theory in an organized, balanced, and mathematically rigorous manner, while observing statistical relevance. All of the major topics are introduced at an elementary level, then developed incrementally to higher levels. The book is
Statistical Decision Theory
Language: en
Pages: 677
Authors: F. Liese, Klaus-J. Miescke
Categories: Mathematics
Type: BOOK - Published: 2008-06-11 - Publisher: Springer

For advanced graduate students, this book is a one-stop shop that presents the main ideas of decision theory in an organized, balanced, and mathematically rigorous manner, while observing statistical relevance. All of the major topics are introduced at an elementary level, then developed incrementally to higher levels. The book is
Simultaneous Statistical Inference
Language: en
Pages: 180
Authors: Thorsten Dickhaus
Categories: Science
Type: BOOK - Published: 2014-01-23 - Publisher: Springer Science & Business Media

This monograph will provide an in-depth mathematical treatment of modern multiple test procedures controlling the false discovery rate (FDR) and related error measures, particularly addressing applications to fields such as genetics, proteomics, neuroscience and general biology. The book will also include a detailed description how to implement these methods in
Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
Language: en
Pages: 648
Authors: Aboul Ella Hassanien, Ashraf Darwish
Categories: Computers
Type: BOOK - Published: 2020-12-14 - Publisher: Springer Nature

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with
Signal Processing in Radar Systems
Language: en
Pages: 632
Authors: Vyacheslav Tuzlukov
Categories: Technology & Engineering
Type: BOOK - Published: 2017-12-19 - Publisher: CRC Press

An essential task in radar systems is to find an appropriate solution to the problems related to robust signal processing and the definition of signal parameters. Signal Processing in Radar Systems addresses robust signal processing problems in complex radar systems and digital signal processing subsystems. It also tackles the important