From the 1 of 6 linked papers with an AI index.
6 papers
Optimal Design for Generalized Progressive Hybrid Censored Data via Constrained, Unconstrained, Compound, and Minimax Optimization
Rathin Das, Tanmay Sen, Deepak Prajapati
The paper develops optimization methods for designing Type‑I generalized progressive hybrid censoring schemes in life‑testing experiments, balancing estimation precision, experimen…
Bayesian reliability acceptance sampling plans for competing risks data under interval censoring
Biswabrata Pradhan, Rathin Das
We obtain a reliability acceptance sampling plan for independent competing risk data under interval censoring schemes using the Bayesian approach. At first, the Bayesian reliabilit…
Bayesian Optimum Warranty Region for Right Censored Two Dimensional Dependent Data
Tanmay Sen, Rathin Das, Ritwik Bhattacharya
Warranty policies play a crucial role in balancing customer satisfaction and cost of the manufacturer. Traditional one-dimensional warranty frameworks, based solely on either age o…
Bayesian reliability acceptance sampling plan sampling plans under adaptive accelerated type-II censored competing risk data
Rathin Das, Soumya Roy, Biswabrata Pradhan
In recent times, products have become increasingly complex and highly reliable, so failures typically occur after long periods of operation under normal conditions and may arise fr…
Determination of Optimum Warranty Region for Two Dimensional Dependent Data
Rathin Das, Tanmay Sen, Ritwik Bhattacharya +1
This paper presents a method for determining the optimal two-dimensional warranty region for age and mileage scales across all possible combinations of free replacement warranty (F…
Reliability Acceptance Sampling Plans under Progressive Type-I Interval Censoring Schemes in Presence of Dependent Competing Risks
Rathin Das, Soumya Roy, Biswabrata Pradhan
We discuss the development of reliability acceptance sampling plans under progressive Type-I interval censoring schemes in the presence of competing causes of failure. We consider…