IEEE Communications Letters · 2001 · 133 citations · 6 references
Natural SciencesBusiness EconomicsStatistical ModelingStatisticsEstimation TheoryLikelihood EstimationLikelihood FunctionsMaximum Likelihood EstimationParameter EstimationStatistical InferenceEstimation EquationsFinite Sample EstimationMaximum Likelihood EstimatorMethod Of Maximum LikelihoodSample VarianceVariance Estimation
Maximum-likelihood estimation of the Nakagami (1960) m parameter is considered. Two new estimators are proposed and examined. The sample mean and the sample variance of the new estimators are compared with the best reported estimator. The new estimators offer superior performance.
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