Youngseuk Cho

Statistics and Probability · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 14 citations into it

Whom Youngseuk Cho trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Debasis Kundu

Papers from Youngseuk Cho's perspective

Ordered by how strongly the researchers Youngseuk Cho trusts endorse each paper. Same corpus, a different order for every researcher.

1. Bayesian Inference and Life Testing Plan for the Weibull Distribution in Presence of Progressive Censoring (Technometrics)
2. Analysis of Type-II progressively hybrid censored data (Computational Statistics & Data Analysis)
3. On hybrid censored Weibull distribution
4. The stress-strength model and its generalizations : theory and applications
5. Exact likelihood inference based on Type-I and Type-II hybrid censored samples from the exponential distribution
6. Progressive censoring methodology: an appraisal
7. Theoretical Comparison of Bootstrap Confidence Intervals
8. EXPONENTIATED EXPONENTIAL FAMILY: AN ALTERNATIVE TO GAMMA AND WEIBULL DISTRIBUTIONS
9. Generalized exponential distribution: Existing results and some recent developments
10. ESTIMATION OF RELIABILITY IN MULTICOMPONENT STRESS- STRENGTH MODEL: LOG-LOGISTIC DISTRIBUTION

Their papers

• Exact likelihood inference of the exponential parameter under generalized Type II progressive hybrid censoring (2016) — 48 citations
• Exact likelihood inference for an exponential parameter under generalized progressive hybrid censoring scheme (2015) — 116 citations