Acceptance Sampling Plans for the Power Inverted Topp Leone Power Series Class with Application to Reliable Renewable Energy Sources to Reduce CO2 Emissions | ||||
| Obour Institute Journal for Engineering and Technology | ||||
| Volume 1, Issue 1, 2023, Page 90-109 PDF (739.4 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/oijet.2023.446845 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Ahmed El-Saeed  ; Wasel Maghed; Amira El Sayed
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| Obour High Institute for Management & Informatics, Egypt | ||||
| Abstract | ||||
| The Power Inverted Topp Leone Power Series (PITLPS) class represents a novel three-parameter iteration of the Power Inverted Topp Leone (PITL) distribution. Formed by combining a power series distribution with the PITL distribution, this compounding technique enables the creation of versatile distribution classes with significant applications in fields like biology and engineering. The PITLPS class exhibits various hazard rate shapes. Acceptance sampling plans are devised for the PITLPS class model, assuming the life test concludes at a specific time. The truncation time, representing the median lifetime of the PITLPS class distribution with the selected variables, is considered. The minimal sample size necessary to achieve the specified life test under a defined consumer's risk is determined. Ultimately, the PITL Poisson model is employed in the context of Reliable Renewable Energy Sources to Reduce CO2 Emissions, and it is fitted using the provided statistical model | ||||
| Keywords | ||||
| Acceptance sampling plans; Power inverted Topp-Leone; Power series; Poisson model; Renewable energy | ||||
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