Reliability

Masked Failure Data: Looking Back, Looking Forward

A retrospective on three years of building R packages and writing papers for masked series system reliability, and what comes next.

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.

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.

symlik: Symbolic Likelihood Models in Python

Define statistical models symbolically and automatically derive score functions, Hessians, and Fisher information. No numerical approximation.

Likelihood Models for Series Systems with Masked Component Failure Data: An R Package for Maximum Likelihood Estimation

mdrelax: When Masking Conditions Don't Hold

Extending masked failure data analysis when the standard C1-C2-C3 masking conditions are violated.

Model Selection for Weibull Series Systems: When Simpler Models Suffice

When can reliability engineers safely use simpler models? Likelihood ratio tests on Weibull series systems give sharp boundaries.

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.

Statistical Inference for Series Systems from Masked Failure Time Data: The Exponential Case

Reliability Estimation in Series Systems: Maximum Likelihood Techniques for Right-Censored and Masked Failure Data

Maximum likelihood estimation of component reliability from masked failure data in series systems, with BCa bootstrap confidence intervals validated through extensive simulation studies.

Model Selection for Reliability Estimation in Series Systems

Reliability Estimation in Series Systems: Maximum Likelihood Techniques for Right-Censored and Masked Failure Data

Reliability Estimation in Series Systems Maximum Likelihood Techniques for Right-Censored and Masked Failure Data

flexhaz: Specify the Hazard Function Directly

An R package for specifying hazard functions directly instead of picking from a catalog of named distributions. You write the hazard. It handles the rest.

Dynamic failure rate (DFR) distributions

Reliability Analysis and the Problem of Censored Data

Introduction to reliability analysis with censored data, where observations are incomplete but statistically informative.