Normalization of logarithmic normal distribution through mapping transformation
2.
When the data is not in normal or logarithmic normal distribution , the least - squared method is not applicable to obtaining the sensitive index
3.
The pearson distribution and the logarithmic normal distribution are used respectively to fit the asymptotic distributions of yearly maximum of the daily precipitation in chengdu during the period between 1951 and 1999
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4 ) the number and mass concentration distributions of the background atmospheric sand particles of ymchuan , bayanhot and tonggunur display a unimodal form , obeying a logarithmic normal distribution , greatly differing f
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Abstract : this paper briefly introduces the method of testing the real sensitivity for eed and gives the data processing method in terms of the electrostatic critical ignition energy of conductive - powder eed conforming to logarithmic normal distribution
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By means of statistical inference as well as hypothesis test method , it is determined that the variables of compressive stress and shearing stress are of extreme - value distribution and that the variables of frictional coefficient and cohesion coefficient are of logarithmic normal distribution
7.
It has been found that the depth of crack and fracture toughness of material can be expressed by weibull distribution , ratio of depth to length of crack and strength of material can be expressed by logarithmic normal distribution and normal distribution respectively
8.
Based on the approach of turning some of the relevant extreme - value - type and logarithmic normal distribution variables into independent and normal random variables , the shear - slipping failure probability of a high arch dam is worked out to be of the order of magnitude of 10 ^ ( - 5 ) by means of second - order moment method
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