z-logo
Premium
A note on L 1 consistent estimation
Author(s) -
Yatracos Yannis G.
Publication year - 1988
Publication title -
canadian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.804
H-Index - 51
eISSN - 1708-945X
pISSN - 0319-5724
DOI - 10.2307/3314734
Subject(s) - independent and identically distributed random variables , estimator , mathematics , identifiability , random variable , statistics , chain (unit) , space (punctuation) , discrete mathematics , combinatorics , computer science , physics , astronomy , operating system
Let (, ) be a space with a σ‐field, M = { P s ; s o} a family of probability measures on A, Θ arbitrary, X 1 ,…,X n independently and identically distributed P random variables. Metrize Θ with the L 1 distance between measures, and assume identifiability. Minimum‐distance estimators are constructed that relate rates of convergence with Vapnik‐Cervonenkis exponents when M is “regular”. An alternative construction of estimates is offered via Kolmogorov's chain argument.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom