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A CP framework is transferred into a mixture model and then a FCML-CP algorithm is created through fuzzy classification maximum likelihood procedures.
The alternatives we consider to quantify the information content of a stated preference study are known to have better finite sample properties than the Fisher information matrix, because they are based on Bayesian estimation procedures that are considered more appropriate than maximum likelihood procedures when the sample size is small.
The Johansen and Juselius (1990) cointegration test is based on two tests, which follow maximum likelihood procedures.
Second, the estimates of the model's parameters are produced by maximum likelihood procedures; hence, the classification and group descriptions generated by the model can be statistically evaluated.
Exophily and blood feeding rates were analysed following the same maximum likelihood procedures in GLIM v.4 software.
Maximum likelihood procedures were used for supervised classification of land cover data, which gave more accurate results than other classification methods such as Decision Tree-, Minimum Distance- or K-Means Classification [40] [42].
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A new method called wave counting is proposed in this paper, as an alternative to the Maximum Likelihood procedure used in [11].
In addition, a spherical spreading correction factor is described, along with a maximum likelihood procedure for obtaining an optimal array weighting dependent on the relative distance between the microphones and the focus point.
The study examines cointegrating relationship between energy consumption, urbanization and economic activity for India using threshold cointegration tests complemented by ARDL (Autoregressive Distributed Lag) bounds testing approach and Johansen–Juselius maximum likelihood procedure for cointegration for the period 1971 2008.
In a model, using recreation value functions and a maximum likelihood procedure, recreation value contributions in monetary terms were estimated for each stand type, or phase of the rotation period.
The model parameters are estimated using data with a maximum likelihood procedure and the goodness-of-fit measures along with the associated standard error of the estimated parameters provided inference about the amplitude dynamics of the pacemaker.
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