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When and why do you use lognormal distribution or normal distribution for analyzing securities? Lognormal for stocks, normal for portfolio returns.
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isixsigma on MSNMaking Data Normal Using Box-Cox Power TransformationKey Points A Box-Cox Power Transformation allows you to transform data to match a normal distribution. It is not a guarantee ...
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isixsigma on MSNPlatykurtic Distribution: Working Beyond NormalityKey Points A platykurtic distribution resembles a normal distribution, with some differences. Typically, a platykurtic distribution has a shorter center with fewer values distributed along the ends.
Normal distribution is a continuous probability distribution wherein values lie in a symmetrical fashion mostly situated around the mean.
Normal Distribution Normal, or Gaussian, distribution describes a pattern where values in your defined range occur more frequently around a center point, or mean.
There is a long standing belief in business that people performance follows the Bell Curve (also called the Normal Distribution). This belief has been embedded in many business practices ...
It’s the personal health question most men want answered more than just about any other and the answer is medically important, to them.
Call it Hell, Call it Heaven, it's a probable twelve to seven that the guy's only doing it for some doll -- Stubby Kaye and Johnny Silver, Guys ...
Normal distribution methods are dependent upon inventory forecasting. It is important for a business to never hold too much inventory, as the inventory can quickly become outdated while waiting to ...
A Log-Normal distribution function is the normal distribution for the logarithm of the variable. In linear scale it is a highly skewed distribution with a long tail in the high productivity side.
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