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20202023
most citedRobust inference for intermittently-monitored step-stress tests under Weibull lifetime distributions

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

math.ST2023

Model Selection for independent not identically distributed observations based on Rényi's pseudodistances

Angel Felipe, Maria Jaenada, Pedro Miranda +1

Model selection criteria are rules used to select the best statistical model among a set of candidate models, striking a trade-off between goodness of fit and model complexity. Mos…

math.ST2023

Restricted distance-type Gaussian estimators based on density power divergence and their applications in hypothesis testing

Ángel Felipe, María Jaenada, Pedro Miranda +1

Zhang (2019) presented a general estimation approach based on the Gaussian distribution for general parametric models where the likelihood of the data is difficult to obtain or unk…

stat.AP2022★ 2 cited

Robust inference for intermittently-monitored step-stress tests under Weibull lifetime distributions

Narayanaswamy Balakrishnan, María Jaenada, Leandro Pardo

Many modern products exhibit high reliability under normal operating conditions. Conducting life tests under these conditions may result in very few observed failures, insufficient…

stat.ME2022

Robust inference for non-destructive one-shot device testing under step-stress model with exponential lifetimes

Narayanaswamy Balakrishnan, Elena Castilla, María Jaenada +1

One-shot devices analysis involves an extreme case of interval censoring, wherein one can only know whether the failure time is either before or after the test time. Some kind of o…

stat.AP2020

Power divergence approach for one-shot device testing under competing risks

N. Balakrishnan, E. Castilla, N. Martin +1

Most work on one-shot devices assume that there is only one possible cause of device failure. However, in practice, it is often the case that the products under study can experienc…