Web function | Short description of function |
MnBeta4DistCdf | Returns the cumulative distribution function of the beta distribution |
MnBeta4DistPdf | Returns the probability density function of the beta distribution |
MnBeta4Inv | Returns the inverse cdf, i.e. quantile, of the beta distribution |
MnBetaDistCdf | Returns the cumulative distribution function of the (standard) beta distribution |
MnBetaDistPdf | Returns the probability density function of the (standard) beta distribution |
MnBetaInv | Returns the inverse cdf, i.e. quantile, of the (standard) beta distribution |
MnJohnsonSUMOMEstimates | Returns the method of moments estimation vector for parameters of a Johnson SU probability distribution for a given dataset |
MnProbDistCdf | Evaluates the cumulative distribution function for a given probability distribution |
MnProbDistCtsBoundedLower | Indicates if a (continuous) probability distribution has a lower bound other than minus infinity |
MnProbDistCtsBoundedUpper | Indicates if a (continuous) probability distribution has an upper bound other than plus infinity |
MnProbDistCtsLowerBound | Returns lower bound of (continuous) probability distribution (if it is bounded below) |
MnProbDistCtsUpperBound | Returns upper bound of (continuous) probability distribution (if it is bounded above) |
MnProbDistHazardFunction | Returns the hazard function for a given probability distribution |
MnProbDistIsCts | Returns true if probability distribution is continuous, false if it is discrete |
MnProbDistKurt | Returns the (excess) kurtosis of a given probability distrbution |
MnProbDistLikelihood | Returns the likelihood of a given dataset for a a given probability distribution |
MnProbDistLogLikelihood | Returns the log-likelihood of a given dataset for a a given probability distribution |
MnProbDistMean | Returns the mean of a given probability distrbution |
MnProbDistMLE | Returns the maximum likelihood estimation vector for parameters of a given probability distribution for a given dataset |
MnProbDistMLERestricted | Returns the maximum likelihood estimation vector for parameters (only some of which may vary) of a given probability distribution for a given dataset |
MnProbDistPage | Returns the main Nematrian web page referring to a given probability distribution |
MnProbDistParamCount | Returns the number of the parameters used in the specification of the probability distribution |
MnProbDistParamNames | Returns the names of the parameters used in the specification of the probability distribution |
MnProbDistPdf | Evaluates the probability density function for a given (continuous) probability distribution |
MnProbDistPlotCdf | Returns a SmartCode for a plot of the cumulative density function of a statistical distribution |
MnProbDistPlotCdfs | Returns a SmartCode for a plot of the cumulative density function of several statistical distributions |
MnProbDistPlotPdf | Returns a SmartCode for a plot of the probability density function of a continuous statistical distribution |
MnProbDistPlotPdfs | Returns a SmartCode for a plot of the probability density function of several continuous statistical distributions |
MnProbDistPlotPmf | Returns a SmartCode for a plot of the probability mass function of a discrete statistical distribution |
MnProbDistPlotPmfs | Returns a SmartCode for a plot of the probability mass function of several discrete statistical distributions |
MnProbDistPlotQQ | Returns a SmartCode for a plot of the quantile-quantile plot of a statistical distribution |
MnProbDistPlotQQs | Returns a SmartCode for a plot of the quantile-quantile plot of several statistical distributions |
MnProbDistPmf | Evaluates the probability mass function for a given (discrete) probability distribution |
MnProbDistPolyEval | Calculates the expected value of a (possibly bounded) polynomial for a given (continuous) probability distribution |
MnProbDistQuantile | Evaluates the quantile, i.e. inverse cdf, for a given probability distrbution |
MnProbDistRand | Returns a single random draw from a given probability distrbution |
MnProbDistRandArray | Returns a (seeded) random array of draws from a given probability distrbution |
MnProbDistRandArrayEqSp | Returns a (seeded) random array of draws from a given probability distrbution, using equally spaced quantiles |
MnProbDistSkew | Returns the skew (skewness) of a given probability distrbution |
MnProbDistStd | Returns the standard deviation of a given probability distrbution |
MnProbDistTailValueAtRisk | Returns the tail value at risk of a given probability distribution |
MnProbDistTWLS | Returns the tail weighted least squares estimation vector for parameters of a given probability distribution for a given dataset |
MnProbDistTWLSRestricted | Returns the tail weighted least squares estimation vector for parameters (only some of which may vary) of a given probability distribution for a given dataset |
MnProbDistTWMLE | Returns the tail weighted maximum likelihood estimation vector for parameters of a given probability distribution for a given dataset |
MnProbDistTWMLERestricted | Returns the tail weighted maximum likelihood estimation vector for parameters (only some of which may vary) of a given probability distribution for a given dataset |
MnProbDistValueAtRisk | Returns the value at risk of a given probability distribution |
MnProbDistVar | Returns the variance of a given probability distrbution |
MnProbDistWeightedLikelihood | Returns the weighted likelihood of a given dataset for a a given probability distribution |
MnProbDistWeightedLogLikelihood | Returns the weighted log-likelihood of a given dataset for a a given probability distribution |
MnProbDistWeightedMLE | Returns the weighted maximum likelihood estimation vector for parameters of a given probability distribution for a given dataset |
MnProbDistWeightedMLERestricted | Returns the weighted maximum likelihood estimation vector for parameters (only some of which may vary) of a given probability distribution for a given dataset |
MnRecognisedProbDists | Returns a string array listing probability distributions recognised by website analytics |