Pages that link to "Item:Q1663194"
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The following pages link to Efficient maximum approximated likelihood inference for Tukey's \(g\)-and-\(h\) distribution (Q1663194):
Displaying 11 items.
- On robust algorithm for finding maximum likelihood estimation of the generalized inverse Gaussian distribution (Q341740) (← links)
- Numerical maximum likelihood estimation for the \(g\)-and-\(k\) and generalized \(g\)-and-\(h\) distributions (Q451236) (← links)
- GS-distributions: a new family of distributions for continuous unimodal variables (Q959362) (← links)
- Robust estimation of the parameters of \(g\)-\textit{and}-\(h\) distributions, with applications to outlier detection (Q1623475) (← links)
- Multivariate transformed Gaussian processes (Q2195526) (← links)
- Assessing the effective sample size for large spatial datasets: a block likelihood approach (Q2242045) (← links)
- Testing a parameter restriction on the boundary for the g-and-h distribution: a simulated approach (Q2667022) (← links)
- Comment (Q4690942) (← links)
- Parameter estimation of Tukey-type distributions: A comparative analysis (Q5082585) (← links)
- Nearest neighbors weighted composite likelihood based on pairs for (non-)Gaussian massive spatial data with an application to Tukey-\(hh\) random fields estimation (Q6554236) (← links)
- Non-Gaussian autoregressive processes with Tukey \(g\)-and-\(h\) transformations (Q6626039) (← links)
