PARAMETER ESTIMATION OF WEIBULL DISTRIBUTION ON TYPE III CENSORED SURVIVAL DATA BY MAXIMUM LIKELIHOOD ESTIMATOR METHOD: CASE STUDY OF LUNG CANCER PATIENT DATA AT DR. KARIADI HOSPITAL SEMARANG

Ardi Kurniawan, Rendi Kurnia Rahmanta, Eko Tjahjono

Research output: Contribution to journalArticlepeer-review

Abstract

Research on survival data is quite important. Many modeling problems can be made related to survival data. One of the survival data methods is the Type III Censored method, which is a type of censoring that is limited by time, with individuals entering the study at different times during a certain period of time. In this study, the research focus is to obtain point estimates of the Weibull distribution parameters using the Maximum Likelihood Estimator method. The method is used to examine the survival data of Weibull distribution censored type III on secondary data of patients with lung cancer at Dr. Kariadi Hospital Semarang. Based on the results of the analysis, the Weibull distribution with a point estimator for the scale parameter is α = 94.875997 and the shape parameter is β = 1.638958.

Original languageEnglish
Article number44
JournalCommunications in Mathematical Biology and Neuroscience
Volume2023
DOIs
Publication statusPublished - 2023

Keywords

  • Weibull distribution
  • maximum likelihood
  • type III censored

Fingerprint

Dive into the research topics of 'PARAMETER ESTIMATION OF WEIBULL DISTRIBUTION ON TYPE III CENSORED SURVIVAL DATA BY MAXIMUM LIKELIHOOD ESTIMATOR METHOD: CASE STUDY OF LUNG CANCER PATIENT DATA AT DR. KARIADI HOSPITAL SEMARANG'. Together they form a unique fingerprint.

Cite this