Pages that link to "Item:Q1623475"

The following pages link to Robust estimation of the parameters of \(g\)-\textit{and}-\(h\) distributions, with applications to outlier detection (Q1623475):

Displaying 9 items.

• Efficient maximum approximated likelihood inference for Tukey's \(g\)-and-\(h\) distribution (Q1663194) (← links)
• Robust estimation of skew-normal parameters with application to outlier labelling (Q2417844) (← links)
• Design-based estimation for geometric quantiles with application to outlier detection (Q2445676) (← links)
• Testing a parameter restriction on the boundary for the g-and-h distribution: a simulated approach (Q2667022) (← links)
• Dynamic quantile function models (Q5039628) (← links)
• Parameter estimation of Tukey-type distributions: A comparative analysis (Q5082585) (← links)
• Detection of a pair of outliers in a sample from a Gumbel distribution with known scale parameter (Q5138982) (← links)
• (Q5290291) (← links)
• A bonus-malus framework for cyber risk insurance and optimal cybersecurity provisioning (Q6593148) (← links)