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...

In this paper, the neutrosophic trimmed average, standard deviation, and coefficient of variation (NTCV) are introduced. The application proposed descriptive statistics is given with help measurement data. comparisons NTCV compared existing (NCV). From comparisons, it concluded that more efficient than NCV in terms consistency measures indeterminacy. Based on study, recommended to apply industr...

in the current study an experimental/statistical approach addressing key mechanical properties (compressive, tensile and flexural strength) and impact resistance of such new fibers with inclusion of different volume of polyphenylene sulfide (pps) fibers has been carried out on 288 specimens. results from this study revealed that compressive, tensile and flexural strength exhibit a good fit with...