59 models across 6 families — parameters, functional forms, what each is for, and what to watch out for. The parameters and bounds here are generated from the code that does the fitting, so they match exactly what you'll see in a result.
Every continuous life distribution Reliafy fits — parameters, survival and hazard functions, when to use each, and what to watch for.
Open reference →Life measured in whole counts — cycles, shocks, or demands to failure. Parameters, forms, and when each applies.
Open reference →Empirical survival estimates that assume no distribution — Kaplan-Meier, Nelson-Aalen, Fleming-Harrington and Turnbull, and when each is the right choice.
Open reference →Life as a function of covariates — proportional hazards, accelerated failure time, proportional odds and additive hazards, across seven baseline distributions plus Cox.
Open reference →How characteristic life responds to stress in an accelerated test — Arrhenius, Eyring, inverse power law and the two-stress models, with their functional forms.
Open reference →Repairable systems — how often a fleet fails over time, whether it's improving or deteriorating, and how to read the reliability-growth parameter.
Open reference →These aren't models in their own right — they change how a model is fitted, and can be combined with the families above.