Selang Waktu Tunggu Bencana Erupsi Gunung Api di Indonesia (Studi Kasus Metode Bootstrap Distribusi Eksponensial Satu Parameter Sensor Tipe Lengkap)
Keywords:
bootstrap, sensor, distribusi eksponensial, bencana, interval konfidensi.Abstract
This study aims to develop a bootstrap approach for constructing confidence intervals for the exponential distribution parameter using waiting time data from volcanic eruptions in 2023. Employing the nonparametric bootstrap method, an empirical distribution of parameter estimates was generated through resampling censored complete data. The results demonstrate that the bootstrap method provides narrower confidence intervals at the 95% confidence level compared to traditional methods, although it produces wider intervals at the 99% level. This method is flexible and accurate, making it suitable for constrained data, such as natural disaster data. The findings support decision-making in disaster risk mitigation.
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