Estimation of Sine Inverse Exponential Model under Censored Schemes
نویسندگان
چکیده
In this article, we introduce a new one-parameter model, which is named sine inverted exponential (SIE) distribution. The SIE distribution extension of the inverse (IE) aims to provide model for data-fitting purposes. more flexible than and it has many applications in physics, medicine, engineering, nanophysics, nanoscience. density function (PDFu) can be unimodel shape right skewed shape. hazard rate (HRFu) J-shaped increasing shaped. We investigated some fundamental statistical properties such as quantile (QFu), moments (Mo), moment generating (MGFu), incomplete (ICMo), conditional (CMo), parameters were estimated using maximum likelihood (ML) method estimation under censored samples (CS). Finally, numerical results evaluate flexibility model. IE are compared two real datasets. show superiority
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ژورنال
عنوان ژورنال: Journal of Mathematics
سال: 2021
ISSN: ['2314-4785', '2314-4629']
DOI: https://doi.org/10.1155/2021/7330385