On the Shifted Hybrid Log-Normal Distribution

Autor: Damodaran Santhamani Shibu, Soman Latha Nitin, Muhammed Rasheed Irshad
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Statistica, Vol 82, Iss 4, Pp 417-431 (2024)
Druh dokumentu: article
ISSN: 0390-590X
1973-2201
DOI: 10.6092/issn.1973-2201/12904
Popis: The log-normal distribution is widely used to model positive valued data in many areas of applied research. However, sometimes the log-normal distribution does not completely satisfy the fitting expectations in every real life situations. In this paper, we introduce, investigate, and discuss a more flexible shifted hybrid log-normal distribution for which the log-normal distribution is a special case. Also, various properties, special cases and estimation procedure of the new distribution are discussed. Moreover, the performances of maximum likelihood estimators of the parameters are examined using a brief simulation study. The flexibility and performance of the newdistribution is also illustrated through two applications by fitting two real datasets of different situations.
Databáze: Directory of Open Access Journals