sensitivity analysis to determine variations in evapotranspiration is much important considering a known variation in one of climatic variables. in this study, sensitivity of evapotranspiration from penmann-mantith, penmann-kimberly (1996), penman-kimberly (1972) and penmann (1984)  and hargrivs (1985) approaches to three climatic variations (maximum temperature, wind speed, solar radiation) wa...

We analyse the behaviour of Incremental Model-Based Clustering on child-directed speech data, and suggest a possible use of this method to describe the acquisition of phonetic classes by an infant. The effects of two factors are analysed, namely the number of coefficients describing the speech signal, and the frame length of the incremental clustering procedure. The results show that, although ...

An estimation problem of the mean µ of an inverse Gaussian distribution IG(µ, C µ) with known coefficient of variation c is treated as a decision problem with entropy loss function. A class of Bayes estimators is constructed, and shown to include MRSE estimator as its closure. Two important members of this class can easily be computed using continued fractions

abstract in order to genetic investigation of drought resistance indices, on 25 maize inbred lines, an experiment was conducted under three irrigation regimes; normal irrigation, limited vegetative irrigation and limited reproductive irrigation. in the limited vegetative irrigation, tol (stress tolerance) index had the highest phenotypic and genotypic coefficient of variation (83.83% and 68.04%...

There are some situations when the process mean fluctuates from time to but is still considered as in-control and standard deviation a linear function of mean. In addition, in cases, variance actually dependent on each other. these situations, many researchers have suggested monitor CV (Coefficient Variation) single statistic. this paper, rigorous content analysis method (based 71 related studi...