Nature

Bias Reduction and Parameter Estimation in Statistical Models

Modern statistical modelling is increasingly focused on reducing bias and enhancing the accuracy of parameter estimates. Traditional maximum likelihood estimation, while powerful, can encounter ...
JSTOR Daily

Statistical Inference for Infinite-Dimensional Parameters via Asymptotically Pivotal Estimating Functions

Suppose that a consistent estimator for an infinite-dimensional parameter can be readily obtained via a set of estimating functions which has a 'good' local linear approximation around the true value ...
JSTOR Daily

Weibull parameters estimation using combined energy pattern and power density method for wind resource assessment

Muhammad Sumair, Tauseef Aized, Syed Asad Raza Gardezi, Muhammad Mahmood Aslam Bhutta, Syed Ubaid ur Rehman, Syed Muhammad Sohail Rehman Energy Exploration & Exploitation, Vol. 39, No. 5 (September ...
Simon Fraser University

Identification of Models

Unfortunately, if you try to fit models of Form B or Form C without additional constraints, you cannot obtain unique estimates of the parameters. These models have four parameters (one coefficient and ...