{"id":766,"date":"2019-03-11T03:40:14","date_gmt":"2019-03-11T03:40:14","guid":{"rendered":"http:\/\/jsr.isrt.ac.bd\/?post_type=article&p=766"},"modified":"2020-09-28T19:35:23","modified_gmt":"2020-09-28T19:35:23","slug":"on-modified-burr-iii-power-distribution-development-properties-characterizations-and-applications","status":"publish","type":"article","link":"http:\/\/jsr.isrt.ac.bd\/article\/on-modified-burr-iii-power-distribution-development-properties-characterizations-and-applications\/","title":{"rendered":"On modified Burr III-power distribution: development, properties, characterizations, and applications"},"content":{"rendered":"
In this paper, a flexible distribution with increasing, bathtub and inverted bathtub hazard rate called Modified Burr III-Power (MBIII-Power) is developed on the basis of the generalized Pearson differential equation. The density function of MBIII-Power is arc, exponential and positively skewed shaped. Descriptive measures such as quantiles, moments, incomplete moments, inequality measures, residual life functions and reliability measures are theoretically established. The MBIII-Power distribution is characterized via different techniques. Parameters of MBIII-Power distribution are estimated using maximum likelihood method. The simulation study is performed to illustrate the performance of the maximum likelihood estimates (MLEs). Potential use of MBIII-Power distribution is demonstrated by its application to two data sets: serum-reversal time (in days) of children born from HIV-infected mothers and failure times of device data.<\/p>\n
Fulltext: <\/a>https:\/\/doi.org\/10.47302\/2018520203<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" In this paper, a flexible distribution with increasing, bathtub and inverted bathtub hazard rate called Modified Burr III-Power (MBIII-Power) is developed on the basis of the generalized Pearson differential equation. The density function of MBIII-Power is arc, exponential and positively skewed shaped. Descriptive measures such as quantiles, moments, incomplete moments, inequality measures, residual life functions […]<\/p>\n","protected":false},"author":2,"featured_media":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","format":"standard","meta":{"_mi_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"issuem_issue":[24],"issuem_issue_categories":[],"issuem_issue_tags":[],"yoast_head":"\n