Closed-Form Results for Masked Exponential Series Systems

Closed-form MLEs and Fisher information for exponential series systems with masked failure data. No numerical optimization required.

December 2, 2025 · 3 min read

algebraic.mle: MLEs as Algebraic Objects

An R package that treats MLEs as algebraic objects. They carry Fisher information, compose through independent likelihoods, and propagate uncertainty correctly.

May 15, 2021 · 3 min read

Observation Functors: Composable Censoring for Series System Simulation

Observation functors in maskedcauses: composable functions that separate the data-generating process from the observation mechanism, enabling mixed-censoring simulation and verified Monte Carlo studies.

February 13, 2026 · 9 min read

maskedcauses: Maximum Likelihood Estimation for Masked Series System Failures

The maskedcauses R package for MLE in series systems with masked component failures, built on composable likelihood contributions and validated through simulation.

February 5, 2026 · 5 min read

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