Nicht aus der Schweiz? Besuchen Sie lehmanns.de
Mathematical Statistics and Limit Theorems -

Mathematical Statistics and Limit Theorems

Festschrift in Honour of Paul Deheuvels
Buch | Softcover
X, 326 Seiten
2016 | 1. Softcover reprint of the original 1st ed. 2015
Springer International Publishing (Verlag)
978-3-319-35394-4 (ISBN)
CHF 149,75 inkl. MwSt
  • Versand in 10-15 Tagen
  • Versandkostenfrei
  • Auch auf Rechnung
  • Artikel merken

This Festschrift in honour of Paul Deheuvels' 65th birthday compiles recent research results in the area between mathematical statistics and probability theory with a special emphasis on limit theorems. The book brings together contributions from invited international experts to provide an up-to-date survey of the field.

Written in textbook style, this collection of original material addresses researchers, PhD and advanced Master students with a solid grasp of mathematical statistics and probability theory.

István Berkes and Robert Tichy: Lacunary Series and Stable Distributions.- Gérard Biau and David M. Mason: High-Dimensional p-Norms.- Denis Bosq: Estimating and Detecting Jumps - Applications to D[0,1]-valued Linear Processes.- Maëva Biret, Michel Broniatowski and Zansheng Cao: A Sharp Abelian Theorem for the Laplace Transform.- Endre Csáki and Miklós Csörgö: On Bahadur-Kiefer Type Processes for Sums and Renewals in Dependent Cases.- El hadji Deme, Stéphane Girard, and Armelle Guillou: Reduced-bias Estimator of the Conditional Tail Expectation of Heavy-tailed Distributions.- Erich Haeusler and Stefan Horni: On Sequential Empirical Distribution Functions for Random Variables with Mean Zero.- Marc Hallin, Ramon van den Akker, and Bas J.M. Werker: On Quadratic Expansions of Log-Likelihoods and a General Asymptotic Linearity Result.- Michel Harel, Jean-François Lenain and Joseph Ngatchou-Wandji: Asymptotic Normality of Binned Kernel Density Estimators for Non-Stationary Dependent Random Variables.- Enkelejd Hashorva, Mikhail Lifshits, Oleg Seleznjev: Approximation of a Random Process with Variable Smoothness.- Gennady Martynov: A Cramér-von Mises Test for Gaussian Processes.- Ya. Yu. Nikitin and M. Ahsanullah: New U-empirical Tests of Symmetry Based on Extremal Order Statistics, and Their Efficiencies.- Davy Paindaveine and Thomas Verdebout: Optimal Rank-Based Tests for the Location Parameter of a Rotationally Symmetric Distribution on the Hypersphere.- Dominic Lauterbach and Dietmar Pfeifer: Some Extensions of Singular Mixture Copulas.- Adrian E. Raftery: Paul Deheuvels - Mentor, Advocate for Statistics, and Applied Statistician.- Paul Doukhan, Oleg I. Klesov, and Josef G. Steinebach: Strong Laws of Large Numbers in an F -scheme.- Ju-Yi Yen and Marc Yor: On Two Results of P. Deheuvels.- Ju-YiYen and Marc Yor: Some Topics in Probability Theory.

Erscheinungsdatum
Zusatzinfo X, 326 p. 12 illus.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Schlagworte Abelian Theorem • Bahadur-Kiefer Processes • Cramer-von Mises test • Economics, Finance, Business and Management • High-dimensional Data Processing • Kernel Density • Large Numbers • limit theorems • Log-Likelihoods • Martingale Laws • Mathematical and statistical software • mathematics and statistics • Mean Zero • probability and statistics • Probability Theory • Probability theory and stochastic processes • Random jumps • Reduced-Bias Estimator • Singular Mixture Copulas • Smoothness Index • Statistical Theory and Methods • Statistics and Computing/Statistics Programs • Statistics for Business/Economics/Mathematical Fin • stochastics
ISBN-10 3-319-35394-2 / 3319353942
ISBN-13 978-3-319-35394-4 / 9783319353944
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Der Weg zur Datenanalyse

von Ludwig Fahrmeir; Christian Heumann; Rita Künstler …

Buch | Softcover (2024)
Springer Spektrum (Verlag)
CHF 69,95
Eine Einführung für Wirtschafts- und Sozialwissenschaftler

von Günter Bamberg; Franz Baur; Michael Krapp

Buch | Softcover (2022)
De Gruyter Oldenbourg (Verlag)
CHF 41,90