THE EXTENDED ERLANG TRUNCATED EXPONENTIAL DISTRIBUTION: PROPERTIES AND APPLICATION TO STATISTICAL PREDICTION PROBLEM

Autor: Imtiyaz A. Shah
Rok vydání: 2023
Předmět:
DOI: 10.24412/1932-2321-2023-273-63-72
Popis: The Erlang Truncated (ETE) distribution is modified and the new lifetime distribution is called the Extended Erlang Truncated Exponential (EETE) distribution. Some statistical and reliability properties of the new distribution functions have been characterized based on two non-adjacent generalized and dual generalized order statistics. Moreover, we show that these characterization properties provide a beneficial strategy to predict future events, which are based on past or current events and on an arbitrary distribution function. A characterization in statistics is a specific distributional property of a statistic that uniquely identify related parametric family of distributions. In statistical applications, the researchers usually want to verify whether the data that they are dealing with belong to a certain family of DFs. Therefore, the researchers have to rely on a characterization of the assumed distribution and check if the corresponding conditions are satisfied.
Databáze: OpenAIRE