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" ...

Identify characteristics of “good” estimators and be able to compare competing estimators. Construct sound estimators using the techniques of maximum likelihood and method of moments estimation.

Abstract: Many rivers in the Western U.S. suffer from high salinity content due to both natural and human-induced causes. Computer simulation models are often used to estimate future salinity levels ...

Statistical testing and lower bounds in distributed estimation constitute a rapidly evolving area that addresses both the design of robust tests for assessing data properties across networked systems ...

The tenth edition of the Small Area Estimation (SAE) Conference was held in Maastricht from 17 to 19 August, 2016 and was jointly organised by Statistics Netherlands (CBS) and Maastricht University ...