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

Author： Schwartz Jacob   Godwin Ryan T.   Giles David E.  

Publisher： Taylor & Francis Ltd

ISSN： 0094-9655

Source： Journal of Statistical Computation and Simulation, Vol.83, Iss.3, 2013-03, pp. : 434-445

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Maximum likelihood parameter estimation in the three-parameter gamma distribution with the use of Mathematica

By Tzavelas George  

Journal of Statistical Computation and Simulation, Vol. 79, Iss. 12, 2009-12 ,pp. : 1457-1466

Taylor & Francis Ltd

Access to resources Recommend Favorite

Improved maximum-likelihood estimation in a regression model with general parametrization

By Lemonte Artur J.  

Journal of Statistical Computation and Simulation, Vol. 81, Iss. 8, 2011-08 ,pp. : 1027-1037

Taylor & Francis Ltd

Access to resources Recommend Favorite

PROBLEMS WITH MAXIMUM LIKELIHOOD ESTIMATION AND THE 3 PARAMETER GAMMA DISTRIBUTION

By K. O. BOWMAN  

Journal of Statistical Computation and Simulation, Vol. 72, Iss. 5, 2002-01 ,pp. : 391-401

Taylor & Francis Ltd

Access to resources Recommend Favorite

On Maximum Likelihood Estimation for the Two Parameter Burr XII Distribution

By Jalali Assad   Watkins Alan  

Communications in Statistics: Theory and Methods, Vol. 38, Iss. 11, 2009-01 ,pp. : 1916-1926

Taylor & Francis Ltd

Access to resources Recommend Favorite

Maximum-likelihood estimation for sample surveys

By Keeble Claire  

Journal of Applied Statistics, Vol. 40, Iss. 12, 2013-12 ,pp. : 2777-2777

Taylor & Francis Ltd

Access to resources Recommend Favorite