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  "Title": "Efficient eM-Algorithm for One-Shot Device Data Analysis",
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  "Description": "Implements the simple and efficient\nExpectation-Maximization (eM) algorithm proposed by Zhu, Li,\nLi, and Balakrishnan (2026) <doi:10.1080/03610918.2025.2515193>\nfor parameter estimation in one-shot device accelerated life\ntesting (ALT) data. Unlike traditional EM algorithms that\nimpute exact failure times, this method treats failure counts\nbetween inspection intervals as missing data, resulting in\nfaster convergence and enhanced numerical stability. Supports\nExponential, Weibull, Lognormal, Gamma, and custom user-defined\nlifetime distributions under log-linear stress models. Standard\nerrors, confidence intervals, model selection statistics (AIC,\nBIC, AICc, HQIC), residual diagnostics, and visualization tools\nare provided. References: Balakrishnan and Ling (2012)\n<doi:10.1016/j.csda.2011.09.010>, Fan, Balakrishnan, and Chang\n(2009) <doi:10.1080/00949650802142592>.",
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