ScholarLens Back to search
2009•Unpublished venueRequires access

Maximum likelihood estimation and interval estimation for exponential distribution with two parameters under type I censoring sample

Duan Hong-mei

Open publisher page 0 citations

Abstract

It is shown that maximum likelihood estimation and interval estimation for the parameter of the exponential distribution with two parameters under type I censoring with missing data.

About this research paper

What this paper is about

It is shown that maximum likelihood estimation and interval estimation for the parameter of the exponential distribution with two parameters under type I censoring with missing data.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

It is shown that maximum likelihood estimation and interval estimation for the parameter of the exponential distribution with two parameters under type I censoring with missing data.

Key concepts: Censoring (clinical trials), Statistics, Mathematics, Exponential distribution, Interval estimation, Maximum likelihood, Estimation, Sample size determination

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Maximum likelihood estimation and interval estimation for exponential distribution with two parameters under type I censoring sample — Research Paper | ScholarLens