A note on estimation ln a minimum type model

Lea Friedman

doi:10.1080/03610929208830812

A note on estimation ln a minimum type model

Lea Friedman

Department of Industrial Engineering and Management

Research output: Contribution to journal › Article › peer-review

Abstract

This paper deals with a problem of estimating the parameter of a distribution function (D.F.) of a continuous random variable t= min (T1, T2) where T1 and T2 are non-negative independent random variables. The D.F. of T1 depends on the parameter 0 that has to be estimated. The D.F. of T2 has properties that will be considered.

Original language	English
Pages (from-to)	749-763
Number of pages	15
Journal	Communications in Statistics - Theory and Methods
Volume	21
Issue number	3
DOIs	https://doi.org/10.1080/03610929208830812
State	Published - 1 Jan 1992

Keywords

Minimum type scheme
asymptotically unbiased and normally distributed estimator

ASJC Scopus subject areas

Statistics and Probability

Access to Document

10.1080/03610929208830812

Cite this

@article{08c34cad0261440aac80afe265d7d135,

title = "A note on estimation ln a minimum type model",

abstract = "This paper deals with a problem of estimating the parameter of a distribution function (D.F.) of a continuous random variable t= min (T1, T2) where T1 and T2 are non-negative independent random variables. The D.F. of T1 depends on the parameter 0 that has to be estimated. The D.F. of T2 has properties that will be considered.",

keywords = "Minimum type scheme, asymptotically unbiased and normally distributed estimator",

author = "Lea Friedman",

year = "1992",

month = jan,

day = "1",

doi = "10.1080/03610929208830812",

language = "English",

volume = "21",

pages = "749--763",

journal = "Communications in Statistics - Theory and Methods",

issn = "0361-0926",

publisher = "Taylor and Francis Ltd.",

number = "3",

}

TY - JOUR

T1 - A note on estimation ln a minimum type model

AU - Friedman, Lea

PY - 1992/1/1

Y1 - 1992/1/1

N2 - This paper deals with a problem of estimating the parameter of a distribution function (D.F.) of a continuous random variable t= min (T1, T2) where T1 and T2 are non-negative independent random variables. The D.F. of T1 depends on the parameter 0 that has to be estimated. The D.F. of T2 has properties that will be considered.

AB - This paper deals with a problem of estimating the parameter of a distribution function (D.F.) of a continuous random variable t= min (T1, T2) where T1 and T2 are non-negative independent random variables. The D.F. of T1 depends on the parameter 0 that has to be estimated. The D.F. of T2 has properties that will be considered.

KW - Minimum type scheme

KW - asymptotically unbiased and normally distributed estimator

UR - http://www.scopus.com/inward/record.url?scp=84948877023&partnerID=8YFLogxK

U2 - 10.1080/03610929208830812

DO - 10.1080/03610929208830812

M3 - Article

AN - SCOPUS:84948877023

SN - 0361-0926

VL - 21

SP - 749

EP - 763

JO - Communications in Statistics - Theory and Methods

JF - Communications in Statistics - Theory and Methods

IS - 3

ER -

A note on estimation ln a minimum type model

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this