Results 271 to 280 of about 2,870,637 (304)

On the log-normal diffusion process

Journal of Mathematical Physics, 1989
The log-normal conditional density function is the delta function initial condition solution of a four-parameter Fokker–Planck equation. It defines a diffusion process over the open first quadrant of the (x,t) plane. This process reaches a nonzero steady state as t increases indefinitely if the drift parameter is positive.
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Tail of the distribution of sums of log-normal variates

IEEE Transactions on Information Theory, 1970
It is shown that the asymptotic behavior of the tail of the sum distribution of a finite number of individually log-normal distributed variates displays the log-normal character of those variates with maximum logarithmic variance. A quantitative definition of the sum-distribution "tail" is established in terms of upper bounds on the relative error or ...
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Threshold prediction and characteristics of log-normal phenomena

Environmental Research, 1967
Abstract The measurements of many phenomena of interest in environmental health may be distributed in a log-normal manner. The zero point of occurrence of such phenomena is of considerable importance. A simple equation is derived for determining the point of origin of a log-normal frequency distribution.
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The Normal and Log-Normal Distributions

1984
The binomial and Poisson distributions restrict the variable X to integer values. Two theoretical distributions that allow it to assume fractional values as well are the normal and log-normal distributions. Each is applicable to a wide variety of random variables.
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Permanence of the Log-Normal Distribution*

Journal of the Optical Society of America, 1968
The distribution of the sum of log-normal variates is shown for most cases of interest to be very accurately represented by a log-normal distribution instead of a normal or Rayleigh distribution that might be expected from the central-limit theorem.
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Discrimination Between the Log-Normal and the Weibull Distributions

Technometrics, 1973
Charles E Antle
exaly   +2 more sources

The Use of a Log-Normal Prior for the Student t-Distribution

Axioms, 2022
Se Yoon Lee
exaly  

Log Normal Distribution

2020
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Log-Normal Distribution

2008
Laura T. Miller, Lionel Stange, Charles MacVean, Jorge R. Rey, J. H. Frank, R. F. Mizell, John B. Heppner, John B. Heppner, John L. Capinera, Dorothy Feir, Christian Borgemeister, George Hangay, R. Wills Flowers, John B. Heppner, Klaus Jaffe, Chris H. Dietrich, Stéphanie Boucher, John B. Heppner, Whitney Cranshaw, Whitney Cranshaw, John B. Heppner, Spencer T. Behmer, Fred Punzo, Drion Boucias, Severiano F. Gayubo, Peter E. Kima, Yousif Aldryhim, John L. Capinera, Diane M. Calabrese, John B. Heppner, James L. Nation, Dan M. Harman, John B. Heppner, Qiao Wang, Marc A. A. Pollet, Scott E. Brooks, John B. Heppner, Norman C. Leppla, Douglas E. Norris, John B. Heppner   +39 more
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Shortest confidence and prediction intervals for the log-normal

Canadian Journal of Statistics, 1982
Ram C Dahiya, Irwin Guttman
exaly