The presence of immune elements (generating a fraction of cure) in survival data is common. These cases are usually modeled by the standard mixture model. Here, we use an alternative approach based on defective distributions. Defective distributions are characterized by having density functions that integrate to values less than , when the domain of their parameters is different from the usual one. We use the Marshall-Olkin class of distributions to generalize two existing defective distributions, therefore generating two new defective distributions. We illustrate the distributions using three real data sets.
机构:
Dept. of Mathematical Statistics, Faculty of Science, University of Aleppo, Aleppo, SyriaDept. of Mathematical Statistics, Faculty of Science, University of Aleppo, Aleppo, Syria
Dham, Danyah
Zeina, Mohamed Bisher
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Dept. of Mathematical Statistics, Faculty of Science, University of Aleppo, Aleppo, SyriaDept. of Mathematical Statistics, Faculty of Science, University of Aleppo, Aleppo, Syria
Zeina, Mohamed Bisher
Al-Hamido, Riad K.
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Dept. of Mathematics, Faculty of Science, Alfurat University, Deir Al-Zor, SyriaDept. of Mathematical Statistics, Faculty of Science, University of Aleppo, Aleppo, Syria
机构:
Department of Mathematics and Informatics, Faculty of Sciences and Mathematics, University of Nis, NisDepartment of Mathematics and Informatics, Faculty of Sciences and Mathematics, University of Nis, Nis