Erhältlich:
Nicht auf Lager
Buch (Softcover): Fachbuch
Non-asymptotic Analysis of Approximations for Multivariate Statistics
Produkt bewerten
Verlag:
Springer Verlag Unsere-Artikel-Nr.: 846VKWY
EAN: 9789811326158
Erhältlich:
Nicht auf Lager
Zustellung: Di, 30.06.2026
Versand: Kostenlos
-19.6 %
CHF 84.–
CHF 67.50
Beschreibung
This book presents recent non-asymptotic results for approximations in multivariate statistical analysis. The book is unique in its focus on results with the correct error structure for all the parameters involved. Firstly, it discusses the computable error bounds on correlation coefficients, MANOVA tests and discriminant functions studied in recent papers. It then introduces new areas of research in high-dimensional approximations for bootstrap procedures, Cornish-Fisher expansions, power-divergence statistics and approximations of statistics based on observations with random sample size. Lastly, it proposes a general approach for the construction of non-asymptotic bounds, providing relevant examples for several complicated statistics. It is a valuable resource for researchers with a basic understanding of multivariate statistics..
Spezifikationen
Sprache
- Englisch
Autor
- Yasunori Fujikoshi
- Vladimir V. Ulyanov
Thema
- Mathematische Statistik: Stochastik
- PC/Internet: Mathematik & Statistik
Kollektion
- JSS Research Series in Statistics
Zielgruppe
- Research
Erscheinungsjahr
- 2020
Erscheinungsland
- Singapur
Format
- Buch (Softcover)
Anzahl Seiten
- 130