Improved Likelihood Inference Procedures for the Logistic Distribution
نویسندگان
چکیده
We consider third-order likelihood inferences for the parameters, quantiles and reliability function of logistic distribution. This theory involves conditioning marginalization function. The distribution is a symmetric which closely related to normal distributions, has several applications because its mathematical tractability availability closed-form cumulative performance techniques investigated compared with first-order using simulations. results show that are far more accurate than usual inference procedures. in about functions parameters distribution, leads precise conclusions phenomenon modeled by
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ژورنال
عنوان ژورنال: Symmetry
سال: 2022
ISSN: ['0865-4824', '2226-1877']
DOI: https://doi.org/10.3390/sym14091767