{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T01:02:37Z","timestamp":1760058157596,"version":"build-2065373602"},"reference-count":17,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2025,3,13]],"date-time":"2025-03-13T00:00:00Z","timestamp":1741824000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100007414","name":"Deanship of Graduate Studies and Scientific Research at Qassim University","doi-asserted-by":"publisher","award":["QU-APC-2025"],"award-info":[{"award-number":["QU-APC-2025"]}],"id":[{"id":"10.13039\/501100007414","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Axioms"],"abstract":"<jats:p>This article proposes a solution to the problem of limiting the representation of three-stage phenomena to linear forms and addresses the stability of the second stage by introducing a novel distribution, the Fragmented Kumar-Trapez (FKT) distribution, which includes two additional parameters beyond the parameters used for an existing standard model. These parameters provide flexibility to the density function, enabling it to model a wide range of shapes. This work contributes to the understanding of distributions whose probability density functions are divided into three parts, addressing key questions such as: How to handle such distributions? How to estimate the range parameters of the trapezoidal and proposed distributions using the maximum likelihood method? How to estimate the unknown parameters of the proposed distribution using both maximum likelihood and Bayesian methods? In addition, the article explores some of the mathematical properties of the proposed distribution. Finally, a simulation study on generated data and an illustrated example are conducted to demonstrate the practical importance of the FKT distribution. WinBUGS 1.4 program is used to illustrate the application of MCMC simulation.<\/jats:p>","DOI":"10.3390\/axioms14030209","type":"journal-article","created":{"date-parts":[[2025,3,13]],"date-time":"2025-03-13T06:53:00Z","timestamp":1741848780000},"page":"209","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A New Flexible Model for Three-Stage Phenomena: The Fragmented Kumar-Trapez Distribution"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4410-750X","authenticated-orcid":false,"given":"Salma Omar","family":"Bleed","sequence":"first","affiliation":[{"name":"Department of Statistics, College of Science, Al-Asmariya Islamic University, Zliten 218521, Libya"}]},{"given":"Aisha A.","family":"Ben Taher","sequence":"additional","affiliation":[{"name":"Department of Mathematical Sciences, Libyan Academy, Misrata 2449, Libya"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1466-8821","authenticated-orcid":false,"given":"Taha","family":"Radwan","sequence":"additional","affiliation":[{"name":"Department of Management Information Systems, College of Business and Economics, Qassim University, Buraydah 51452, Saudi Arabia"}]}],"member":"1968","published-online":{"date-parts":[[2025,3,13]]},"reference":[{"key":"ref_1","unstructured":"Pouliquen, L.Y. 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(2025, February 01). WinBUGS 1.4 User Manual Version 1.4; MRC Biostatistics Unit; 2003. Available online: https:\/\/archive.org\/details\/manualzilla-id-5727689\/page\/n7\/mode\/2up."},{"key":"ref_16","unstructured":"Luo, W. (2004). Reliability Characterization and Prediction of High K-Dielectric Thin Film. [Ph.D. Dissertation, Department of Industrial Engineering, Texas A and M University]."},{"key":"ref_17","unstructured":"Lawless, J.F. (1982). Statistical Methods and Methods of Lifetime Data, John Wiley and Sons."}],"container-title":["Axioms"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2075-1680\/14\/3\/209\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T16:52:55Z","timestamp":1760028775000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2075-1680\/14\/3\/209"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,13]]},"references-count":17,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2025,3]]}},"alternative-id":["axioms14030209"],"URL":"https:\/\/doi.org\/10.3390\/axioms14030209","relation":{},"ISSN":["2075-1680"],"issn-type":[{"type":"electronic","value":"2075-1680"}],"subject":[],"published":{"date-parts":[[2025,3,13]]}}}