Pages that link to "Item:Q1283390"
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The following pages link to Estimating the end-point of a probability distribution using minimum-distance methods (Q1283390):
Displaying 16 items.
- Estimating an endpoint of a distribution with resampling methods (Q760122) (← links)
- Bias reduction for endpoint estimation (Q906625) (← links)
- Comparing extreme models when the sign of the extreme value index is known (Q962036) (← links)
- Does bias reduction with external estimator of second order parameter work for endpoint? (Q1011532) (← links)
- On the estimation of Pareto fronts from the point of view of copula theory (Q1750061) (← links)
- Empirical likelihood confidence intervals for the endpoint of a distribution function (Q1761529) (← links)
- Estimating the endpoint of a distribution in the presence of additive observation errors (Q1770062) (← links)
- Estimating an endpoint with high-order moments (Q1946883) (← links)
- Maximum likelihood estimation of extreme value index for irregular cases (Q2388968) (← links)
- Bootstrapping endpoint (Q2392498) (← links)
- Endpoint estimation for observations with normal measurement errors (Q2418000) (← links)
- Inferring extinction from a sighting record (Q2486549) (← links)
- Some Best Parameter Estimates for Distributions with Finite Endpoint (Q2785886) (← links)
- Smooth tail-index estimation (Q3401368) (← links)
- Bayesian Likelihood Methods for Estimating the End Point of a Distribution (Q5490616) (← links)
- On dealing with the unknown population minimum in parametric inference (Q6065675) (← links)
