Characterisation of some generalised continuous distributions by doubly truncated moments

• Autorzy: Athar Haseeb , Ahsanullah Mohammad , Ali Mohd. Almech

Identyfikatory

DOI

10.37190/ord230101

• Języki publikacji: EN

Abstrakty

EN

The characterisation of probability distribution plays an important role in statistical studies. There are various methods of characterisation available in the literature. The characterisation using truncated moments limits the observations; hence, researchers may save time and cost. In this paper, the characterisation of three general forms of continuous distributions based on doubly truncated moments has been studied. The results are given simply and explicitly. Further, the results have been applied to some well-known continuous distributions.

Słowa kluczowe

EN

truncated moment; characterisation; probability distribution; Weibull; power function; Frechet; Pareto; Lindley

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Operations Research and Decisions
• Rocznik: 2023
• Tom: Vol. 33, No. 1
• Strony: 1--19
• Opis fizyczny: Bibliogr. 39 poz., rys.

Twórcy

autor

Athar Haseeb

• Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, India

• https://orcid.org/0000-0001-5823-9979

autor

Ahsanullah Mohammad

• y, Aligarh, India 2Department of Management Sciences, Rider University, Lawrenceville, USA

• https://orcid.org/0000-0002-2139-7743

autor

Ali Mohd. Almech

• Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, KSA

• https://orcid.org/0000-0001-5042-8927

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).