Pages that link to "Item:Q1125979"
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The following pages link to Bayesian estimation for shifted exponential distributions (Q1125979):
Displaying 19 items.
- Bayesian estimation and prediction with multiply type-II censored samples of sequential order statistics from one- and two-parameter exponential distributions (Q622459) (← links)
- The life-span prediction of a system connected in series (Q1005221) (← links)
- Linear Bayes estimator for the two-parameter exponential family under type II censoring (Q1621342) (← links)
- Bayesian analysis for the exponentiated Rayleigh distribution (Q2003041) (← links)
- Bayesian inference for the common location parameter of several shifted-exponential populations (Q2423491) (← links)
- Bayesian Inference for the Generalized Exponential Distribution Based on Progressively Censored Data (Q3391845) (← links)
- (Q3473955) (← links)
- Bayes estimation of shift point in left truncated exponential sequence (Q4935430) (← links)
- Mixtures and diagnostic plots in modelling road traffic vehicle headways (Q4970875) (← links)
- Inference on stress–strength reliability for exponential distributions with a common scale parameter (Q5036954) (← links)
- (Q5039907) (← links)
- (Q5137581) (← links)
- Bayes estimation for exponential distributions with common location parameter and applications to multi-state reliability models (Q5138203) (← links)
- Estimation of the common scale of several shifted exponential distributions with unknown locations (Q5203490) (← links)
- Bayesian exponentially tilted empirical likelihood (Q5314836) (← links)
- Bayesian Statistical Inference for Weighted Exponential Distribution (Q5418877) (← links)
- Bayesian inference for the generalized exponential distribution (Q5711985) (← links)
- Estimation of parameters of inverse Weibull distribution and application to multi-component stress-strength model (Q5861281) (← links)
- Estimating powers of the scale parameters under order restriction for two shifted exponential populations with a common location (Q6588684) (← links)