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Mathematica > Data Manipulation > Statistical Data Analysis > Probability & Statistics > Parametric Statistical Distributions > Normal and Related Distributions > JohnsonDistribution >
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JohnsonDistribution

JohnsonDistribution
represents a bounded Johnson distribution with shape parameters , , location parameter , and scale parameter .
JohnsonDistribution
represents a semi-bounded Johnson distribution.
JohnsonDistribution
represents an unbounded Johnson distribution.
JohnsonDistribution
represents a normal Johnson distribution.
MORE INFORMATION
  • JohnsonDistribution allows and to be any real numbers and and to be any positive real numbers.
EXAMPLESCLOSE ALL
Basic Examples   (5)
Probability density function for bounded (SB):
Semi-bounded (SL):
Unbounded (SU):
Normal (SN):
Cumulative distribution function for bounded (SB):
Semi-bounded (SL):
Unbounded (SU):
Normal (SN):
Mean for bounded (SB) is available numerically:
Semi-bounded (SL):
Unbounded (SU):
Normal (SN):
Variance for bounded (SB) is available numerically:
Semi-bounded (SL):
Unbounded (SU):
Normal (SN):
Median for bounded (SB):
Semi-bounded (SL):
Unbounded (SU):
Normal (SN):
Probability density function for bounded (SB):
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Semi-bounded (SL):
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Unbounded (SU):
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Normal (SN):
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Cumulative distribution function for bounded (SB):
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Semi-bounded (SL):
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Unbounded (SU):
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Normal (SN):
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Mean for bounded (SB) is available numerically:
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Semi-bounded (SL):
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Unbounded (SU):
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Normal (SN):
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Variance for bounded (SB) is available numerically:
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Semi-bounded (SL):
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Unbounded (SU):
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Normal (SN):
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Median for bounded (SB):
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Normal (SN):
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Scope   (7)
Generate a set of pseudorandom numbers that are bounded Johnson distributed:
Compare its histogram to the PDF:
Distribution parameters estimation:
Estimate the distribution parameters from sample data:
Compare a density histogram of the sample with the PDF of the estimated distribution:
Skewness for semi-bounded (SL):
Unbounded (SU):
Normal (SN):
Kurtosis for semi-bounded (SL):
Unbounded (SU):
Normal (SN):
Different moments with closed forms as functions of parameters:
Bounded (SB), no closed formula for symbolic parameters, but can be evaluated numerically:
Semi-bounded (SL):
Unbounded (SU):
Normal (SN):
Hazard function for bounded (SB):
Semi-bounded (SL):
Unbounded (SU):
Normal (SN):
Quantile function for bounded (SB):
Semi-bounded (SL):
Unbounded (SU):
Normal (SN):
Applications   (1)
Johnson distribution can be used to model snowfall records:
Fit Johnson (SU) distribution into the data:
Properties & Relations   (8)
The Johnson distribution family is closed under translation and scaling by a positive factor:
Relations to other distributions:
Normal (SN) Johnson distribution is a NormalDistribution:
Normal (SN) Johnson distribution is a transformation of standard NormalDistribution:
Semi-bounded (SL) Johnson distribution as a transformation of NormalDistribution:
Assuming first:
Assuming :
Unbounded (SU) Johnson distribution as a transformation of NormalDistribution:
Bounded (SB) Johnson distribution as a transformation of a NormalDistribution:
Special case of SL Johnson distribution is a LogNormalDistribution:
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