TY - JOUR
TI - Inferences based on type-I censoring competing risks data of power hazard rate models in the presence of partially observed causes of failure
AU - Almulhim Fatimah
AU - Abdelsalam Hanad
AU - Alharbi Weam
AU - Alzubaidi Marwa
AU - Abd-Elmougod Gamal A
JN - Thermal Science
PY - 2024
VL - 28
IS - 6
SP - 5011
EP - 5018
PT - Article
AB - When population units fail for several reasons, the competing risks model is  triggered. The failure time and associated reason of failure are noted in  this model. It is possible to partially observe the reasons why the  competing risks model fails. In this work, where the failure time is  distributed with the power hazard rate distribution, we utilize the  competing risks model under partially observed reasons of failure. We  develop maximum likelihood estimators of the model parameters with related  estimated confidence intervals based on the independent type-I censoring  competing risks data. Two distinct approaches are used to construct the  bootstrap point estimate and associated bootstrap confidence ranges.  Analysis is done using actual type-I competing risks data that has some  failure causes missing at random.