Exponential-series-MLE: Exponential series log-likelihood model

In queelius/masked.data: Estimating Reliability of Components in Series from Masked Data with Relaxed Candidate Set Models

Exponential series log-likelihood model

Description

Maximum likelihood estimation functions for Exponential series systems from masked data. Functions include the log-likelihood, score, and FIM functions.

Details

Masked component data approximately satisfies the following conditions:

C1: Pr(K in C) = 1 C2: Pr(C=c | K=j, T=t) = Pr(C=c | K=j', T=t) for any j, j' in c. C3: masking probabilities are independent of theta

Author(s)

Alex Towell

See Also

md_loglike_exp_series_C1_C2_C3, md_score_exp_series_C1_C2_C3, md_mle_exp_series_C1_C2_C3 md_fim_exp_series_C1_C2_C3

queelius/masked.data documentation built on Jan. 28, 2025, 4:23 a.m.