Distribution Functions Density Probability Quantile Random Numbers: Difference between revisions

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:[[betadf]]      - Beta
:[[betadf]]      - Beta
:[[cauchydf]]    - Cauchy
:[[cauchydf]]    - Cauchy (Lorentzian)
:[[chidf]]        - Chi-squared
:[[chidf]]        - Chi-squared
:[[expdf]]        - Exponential
:[[expdf]]        - Exponential
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:[[lognormdf]]    - Lognormal
:[[lognormdf]]    - Lognormal
:[[logisdf]]      - Logistic
:[[logisdf]]      - Logistic
:[[newtondf]]    - Newton's root
:[[normdf]]      - Normal (gaussian)
:[[normdf]]      - Normal (gaussian)
:[[paretodf]]    - Pareto
:[[paretodf]]    - Pareto
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:[[unifdf]]      - Continuous uniform
:[[unifdf]]      - Continuous uniform
:[[weibulldf]]    - Weibull
:[[weibulldf]]    - Weibull
:[[kurtosis]]: Returns the kurtosis statistic for a vector or matrix.
:[[skewness]]: Returns the skewness statistic for a vector or matrix.
   
   
(Sub topic of [[Distribution_Fitting_Tools|Distribution_Fitting_Tools]])
(Sub topic of [[Distribution_Fitting_Tools|Distribution_Fitting_Tools]])

Latest revision as of 20:18, 8 June 2015

betadf - Beta
cauchydf - Cauchy (Lorentzian)
chidf - Chi-squared
expdf - Exponential
gammadf - Gamma
gumbeldf - Gumbel
laplacedf - Laplace (double exponential)
lognormdf - Lognormal
logisdf - Logistic
newtondf - Newton's root
normdf - Normal (gaussian)
paretodf - Pareto
raydf - Rayleigh
tdf - Student's t
triangledf - Triangle
unifdf - Continuous uniform
weibulldf - Weibull


kurtosis: Returns the kurtosis statistic for a vector or matrix.
skewness: Returns the skewness statistic for a vector or matrix.


(Sub topic of Distribution_Fitting_Tools)