Weibull-series-MLE: Maximum likelihood estimation functions for Weibull series...
In queelius/masked.data: Estimating Reliability of Components in Series from Masked Data with Relaxed Candidate Set Models
Weibull series MLE R Documentation
Maximum likelihood estimation functions for Weibull series systems
from masked data.
Description
Functions include the log-likelihood, score, and MLE 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_weibull_series_C1_C2_C3,
md_score_weibull_series_C1_C2_C3,
md_mle_weibull_series_C1_C2_C3
queelius/masked.data documentation built on Jan. 28, 2025, 4:23 a.m.
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| Weibull series MLE | R Documentation |
Maximum likelihood estimation functions for Weibull series systems from masked data.
Description
Functions include the log-likelihood, score, and MLE 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_weibull_series_C1_C2_C3,
md_score_weibull_series_C1_C2_C3,
md_mle_weibull_series_C1_C2_C3
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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