Information Geometry: Handbook of Statistics, cartea 45
Arni S.R. Srinivasa Rao, C. R. Rao, Angelo Plastinoen Limba Engleză Hardback – 28 sep 2021
- Written by experts for users of information geometry
- Basics to advanced readers are equally taken care
- Origins and Clarity on Foundations
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Specificații
ISBN-13: 9780323855679
ISBN-10: 0323855679
Pagini: 248
Dimensiuni: 152 x 229 x 19 mm
Greutate: 0.5 kg
Editura: ELSEVIER SCIENCE
Seria Handbook of Statistics
ISBN-10: 0323855679
Pagini: 248
Dimensiuni: 152 x 229 x 19 mm
Greutate: 0.5 kg
Editura: ELSEVIER SCIENCE
Seria Handbook of Statistics
Public țintă
Statisticians, computer scientists, physicists, econometricians and mathematicians.Cuprins
Section I
Foundations of information geometry
1. Revisiting the connection between Fisher information and entropy’s rate of change
A.R. Plastino, A. Plastino, and F. Pennini
2. Pythagoras theorem in information geometry and applications to generalized linear models
Shinto Eguchi
3. Rao distances and conformal mapping
Arni S.R. Srinivasa Rao and Steven G. Krantz
4. Cramer-Rao inequality for testing the suitability of divergent partition functions
Angelo Plastino, Mario Carlos Rocca, and Diana Monteoliva
5. Information geometry and classical Cram
Kumar Vijay Mishra and M. Ashok Kumar
Section II
Theoretical applications and physics
6. Principle of minimum loss of Fisher information, arising from the Cramer-Rao inequality: Its role in evolution of bio-physical laws, complex systems and universes
B. Roy Frieden
7. Quantum metrology and quantum correlations
Diego G. Bussandri and Pedro W. Lamberti
8. Information, economics, and the Cramer-Rao bound
Raymond J. Hawkins and B. Roy Frieden
9. Zipf’s law results from the scaling invariance of the Cramer–Rao inequality
Alberto Hernando and Angelo Plastino
Section III
Advanced statistical theory
10. λ-Deformed probability families with subtractive and divisive normalizations
Jun Zhang and Ting-Kam Leonard Wong
11. Some remarks on Fisher information, the Cramer–Rao inequality, and their applications to physics
H.G. Miller, A. Plastino, and A.R. Plastino
Foundations of information geometry
1. Revisiting the connection between Fisher information and entropy’s rate of change
A.R. Plastino, A. Plastino, and F. Pennini
2. Pythagoras theorem in information geometry and applications to generalized linear models
Shinto Eguchi
3. Rao distances and conformal mapping
Arni S.R. Srinivasa Rao and Steven G. Krantz
4. Cramer-Rao inequality for testing the suitability of divergent partition functions
Angelo Plastino, Mario Carlos Rocca, and Diana Monteoliva
5. Information geometry and classical Cram
Kumar Vijay Mishra and M. Ashok Kumar
Section II
Theoretical applications and physics
6. Principle of minimum loss of Fisher information, arising from the Cramer-Rao inequality: Its role in evolution of bio-physical laws, complex systems and universes
B. Roy Frieden
7. Quantum metrology and quantum correlations
Diego G. Bussandri and Pedro W. Lamberti
8. Information, economics, and the Cramer-Rao bound
Raymond J. Hawkins and B. Roy Frieden
9. Zipf’s law results from the scaling invariance of the Cramer–Rao inequality
Alberto Hernando and Angelo Plastino
Section III
Advanced statistical theory
10. λ-Deformed probability families with subtractive and divisive normalizations
Jun Zhang and Ting-Kam Leonard Wong
11. Some remarks on Fisher information, the Cramer–Rao inequality, and their applications to physics
H.G. Miller, A. Plastino, and A.R. Plastino
Recenzii
"From the cover of the book: “Introduction to probability and statistics for engineers and scientists, now in its trusted Sixth Edition, provides a valuable overview of the subject written in the engaging style of Best-Selling Probability expert and author, Sheldon Ross. The book uniquely emphasizes how probability informs statistical problems to develop an intuitive understanding of the statistical procedures most commonly used by practicing engineers and scientists. Utilizing real data from actual studies across life science, engineering, computing and business, this useful introduction supports reader comprehension through a wide variety of exercises and examples throughout the text. These examples and exercises are combined with updated problem sets and applications to connect probability theory to everyday statistical problems and situations....The book can be very recommended to all readers, students and instructors, who are interested in this field." --zbMath/European Mathematical Society and the Heidelberg Academy of Sciences and Humanities