On the Shifted Hybrid Log-Normal Distribution
Autor: | Damodaran Santhamani Shibu, Soman Latha Nitin, Muhammed Rasheed Irshad |
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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 |
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