Sentence examples for maximum spacing methods from inspiring English sources

In this study, we consider parameter estimation of Kum-Weibull, Kum-Pareto and Kum-Power distributions by using the maximum likelihood and the maximum spacing methods.

discuss extended maximum spacing methods to the multivariate case.

Ranneby [13] showed that in such cases, the maximum spacing method is more reliable than the ML method.

We performed simulations for each of these considered distributions by using the R software for estimating parameters using the maximum likelihood and the maximum spacing method.

Tamandi and Nadarajah [16] consider also the maximum spacing method (MSP) and compare it with the maximum likelihood (ML) method for estimating the parameters in some of the Kum-G distributions.

In these cases the method of maximum spacing estimation may be successful.

In statistics, maximum spacing estimation (MSE or MSP), or maximum product of spacing estimation (MPS), is a method for estimating the parameters of a univariate statistical model.

Maximum spacing between any two selected stations.

Technological advances began affecting sentence spacing methods.

The consistency of maximum spacing estimation holds under much more general conditions than for maximum likelihood estimators.

Maximum spacing estimators are also at least as asymptotically efficient as maximum likelihood estimators, where the latter exist.