Multiparameter likelihood models (MLMs) with multiple covariates have a wide range of applications; however, they encounter the "curse of dimensionality" problem when the dimension of the covariates ...

The problem of estimating from a sample a confidence region for the parameters of the distribution of maximum values is treated by setting up what are called "statistical estimation functions" ...

Process capability indices (PCIs) have long served as crucial metrics in assessing the performance and quality of manufacturing processes. Recent advances in statistical estimation techniques have not ...

Nonparametric estimation and U-statistics have emerged as vital tools in modern statistical analysis, offering robust alternatives to traditional parametric methods. Nonparametric techniques bypass ...

HOUSTON -- (June 5, 2018) -- Researchers from Rice University and Duke University are using the tools of statistics and data science in collaboration with Human Rights Data Analysis Group (HRDAG) to ...

We were unable to process your request. Please try again later. If you continue to have this issue please contact [email protected]. Back to Healio Statistical risk estimate is more ...

I joined the rangeland ecology faculty in the Department of Ecosystem Science and Management in summer 2007. My research interests lie in wildlife habitat ecology and restoration ecology with a focus ...