Torgersen | Comparison of Statistical Experiments | Buch | 978-0-521-10282-7 | sack.de

Buch, Englisch, Band 36, 696 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 1039 g

Reihe: Encyclopedia of Mathematics and its Applications

Torgersen

Comparison of Statistical Experiments

Buch, Englisch, Band 36, 696 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 1039 g

Reihe: Encyclopedia of Mathematics and its Applications

ISBN: 978-0-521-10282-7
Verlag: Cambridge University Press


There are a number of important questions associated with statistical experiments: when does one given experiment yield more information than another; how can we measure the difference in information; how fast does information accumulate by repeating the experiment? The means of answering such questions has emerged from the work of Wald, Blackwell, LeCam and others and is based on the ideas of risk and deficiency. The present work which is devoted to the various methods of comparing statistical experiments, is essentially self-contained, requiring only some background in measure theory and functional analysis. Chapters introducing statistical experiments and the necessary convex analysis begin the book and are followed by others on game theory, decision theory and vector lattices. The notion of deficiency, which measures the difference in information between two experiments, is then introduced. The relation between it and other concepts, such as sufficiency, randomisation, distance, ordering, equivalence, completeness and convergence are explored. This is a comprehensive treatment of the subject and will be an essential reference for mathematical statisticians.
Torgersen Comparison of Statistical Experiments jetzt bestellen!

Autoren/Hrsg.


Weitere Infos & Material


Preface; Acknowledgements; 1. Statistical experiments within the measure theoretical framework; 2. Convexity; 3. Two-person, zero-sum games; 4. Statistical decision problems; 5. Vector lattices; 6. Deficiencies; 7. Equivalence, representations and functionals of experiments; 8. Comparison of linear models; 9. Majorisation and approximate majorisation; 10. Complements: Further examples, problems and comments; List of symbols; Author index; Additional references; Subject index.


Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.