Ryan T. Godwin

发表

Analytic bias correction for maximum likelihood estimators when the bias function is non-constant

David E. A. Giles, Ryan T. Godwin, D. Giles, 2019, Commun. Stat. Simul. Comput..

The one‐inflated positive Poisson mixture model for use in population size estimation

Ryan T. Godwin, 2019, Biometrical journal. Biometrische Zeitschrift.

Estimation of the population size by using the one‐inflated positive Poisson model

Ryan T. Godwin, D. Böhning, 2017 .

Econometric Analysis of Non-Standard Count Data

Ryan T. Godwin, 2012 .

On the Bias of the Maximum Likelihood Estimator for the Two-Parameter Lomax Distribution

Ryan T. Godwin, D. Giles, David E. Giles, 2013 .

Improved maximum-likelihood estimation of the shape parameter in the Nakagami distribution

Ryan T. Godwin, D. Giles, J. Schwartz, 2013 .

Bias -corrected Maximum Likelihood Estimation of the Parameters of the Generalized Pareto Distribution

Ryan T. Godwin, D. Giles, Hui Feng, 2010 .

Testing for multivariate cointegration in the presence of structural breaks: p-values and critical values

Ryan T. Godwin, D. Giles, 2012 .

Bias reduction for the maximum likelihood estimator of the doubly-truncated Poisson distribution

Ryan T. Godwin, 2016 .

The Manitoba Basic Annual Income Experiment: Lessons Learned 40 Years Later

Ryan T. Godwin, G. Mason, Wayne Simpson, 2017 .

On the Bias of the Maximum Likelihood Estimator for the Two-Parameter Lomax Distribution

Ryan T. Godwin, D. Giles, Hui Feng, 2013 .

Bias-corrected maximum likelihood estimation of the parameters of the generalized Pareto distribution

Ryan T. Godwin, D. Giles, Hui Feng, 2016 .