EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Academic Skills
  • Help
  •  My account 
    • Logout
    • Change account settings
  • Login
EconBiz - Find Economic Literature
Publications Events
Search options
Advanced Search history
My EconBiz
Favorites Loans Reservations Fines
    You are here:
  • Home
  • Search: subject:"Uniform Euclidean norm approximation in probability"
Narrow search

Narrow search

Year of publication
Subject
All
Functional central limit theorem 2 Uniform Euclidean norm approximation in probability 2 Asymptotic confidence interval 1 Cholesky square root of a matrix 1 Direct product of two measurable spaces 1 Domain of attraction of the normal law 1 Generalized domain of attraction of the d-variate normal law 1 Infinite variance 1 Signal-to-noise ratio 1 Simple linear regression 1 Slowly varying function at infinity 1 Standard/bivariate Wiener process 1 Studentized/self-normalized least squares estimator/process 1 Sup–norm approximation in probability 1 Symmetric positive definite square root of a matrix 1
more ... less ...
Online availability
All
Undetermined 2
Type of publication
All
Article 2
Language
All
Undetermined 2
Author
All
Martsynyuk, Yuliya V. 2 Csörgő, Miklós 1
Published in...
All
Statistics & Probability Letters 1 Stochastic Processes and their Applications 1
Source
All
RePEc 2
Showing 1 - 2 of 2
Cover Image
Invariance principles for a multivariate Student process in the generalized domain of attraction of the multivariate normal law
Martsynyuk, Yuliya V. - In: Statistics & Probability Letters 82 (2012) 12, pp. 2270-2277
establish a uniform Euclidean norm approximation in probability and a functional CLT for a multivariate Student process, based …
Persistent link: https://www.econbiz.de/10010580427
Saved in:
Cover Image
Functional central limit theorems for self-normalized least squares processes in regression with possibly infinite variance data
Csörgő, Miklós; Martsynyuk, Yuliya V. - In: Stochastic Processes and their Applications 121 (2011) 12, pp. 2925-2953
Based on an R2-valued random sample {(yi,xi),1≤i≤n} on the simple linear regression model yi=xiβ+α+εi with unknown error variables εi, least squares processes (LSPs) are introduced in D[0,1] for the unknown slope β and intercept α, as well as for the unknown β when α=0. These LSPs...
Persistent link: https://www.econbiz.de/10011065050
Saved in:
A service of the
zbw
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...