XploRe Help: Function Index

Keywords - Function Groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

spc

graphical representation of a one-sided CUSUM chart for given data, critical value c and reference value k.

Computes the Average Delays of a one-sided CUSUM chart for a given critical value and for various expected values mu. The data is normally distributed with variance 1.

spccusum1arl

Computes the Average Run Lengths of a one-sided CUSUM chart for a given critical value and for various expected values mu. The data are normally distributed with variance 1.

spccusum1c

Computes the critical value of a one-sided CUSUM chart for a given in-control Average Run Length. The data is normally distributed with variance 1.

spccusum1pmf

Computes the probability mass function (PMF, P(L=i)) and the cumulative distribution function (CDF, P(L<=i)) of the one-sided CUSUM chart run length for given i. The data are normally distributed with variance 1.

spccusum1pmfm

Computes the probability mass function (PMF, P(L=i))and the cumulated distribution function (CDF, P(L<=i)) of the one-sided CUSUM chart run length up to a given i. The data are normally distributed with variance 1.

spccusum2

graphical representation of a two-sided CUSUM chart for given data, critical value and reference value k

spccusum2ad

Computes the Average Delays of a two-sided CUSUM chart for a given critical value and for various expected values mu. The data are normally distributed with variance 1.

spccusum2arl

Computes the Average Run Lengths of a two-sided CUSUM chart for a given critical value and for various expected values mu. The data is normally distributed with variance 1.

spccusum2c

Computes the critical value of a two-sided CUSUM chart for a given in-control Average Run Length. The data are normally distributed with variance 1.

spccusum2pmf

Computes the probability mass function (PMF, (P(L=i)) and the cumulative distribution function (CDF, P(L<=i)) of the two-sided CUSUM chart run length for given i. The data are normally distributed with variance 1.

spccusum2pmfm

Computes the probability mass function (PMF, P(L=i)) and the cumulative distribution function (CDF, P(L<=i)) of the two-sided CUSUM chart run length up to a given i. The data are normally distributed with variance 1.

spccusumC

graphical representation of a Crosier CUSUM chart for given data, critical value and reference value k.

spccusumCad

Computes the Average Delays of the Crosier-CUSUM chart for a given critical value and for various expected values mu. The data are normally distributed with variance 1.

spccusumCarl

Computes the Average Run Lengths of the Crosier-CUSUM chart for a given critical value and for various expected values mu. The data are normally distributed with variance 1.

spccusumCc

Computes the critical value of the Crosier-CUSUM chart for given in-control Average Run Length. The data is normally distributed with variance 1.

spccusumCpmf

Computes the probability mass function (PMF, P(L=i)) and the cumulative distribution function (CDF, P(L<=i)) of the Crosier CUSUM chart run length for given i. The data are normally distributed with variance 1.

spccusumCpmfm

Computes the probability mass function (PMF P(L=i)) and the cumulative distribution function (CDF P(L<=i)) of the Crosier CUSUM chart run length up to a given i. The data are normally distributed with a variance of 1.

spcewma1

graphical representation of a one-sided EWMA chart for given data, critical value and smoothing parameter lambda

spcewma1ad

Computes the Average Delays of a one-sided EWMA chart for a given critical value and for various expected values mu. The data is normally distributed with variance 1.

spcewma1arl

Computes the Average Run Lengths of a one-sided EWMA chart for a given critical value and for various expected values mu. The data is normally distributed with variance 1.

spcewma1c

Computes the critical value of a one-sided EWMA chart for a given in-control Average Run Length. The data is normally distributed with variance 1.

spcewma1pmf

Computes the probability mass function (PMF, P(L=i)) and the cumulative distribution function (CDF, P(L<=i)) of a one-sided EWMA chart run length for given i. The data are normally distributed with variance 1.

spcewma1pmfm

Computes the probability mass function (PMF, P(L=i)) and the cumulative distribution function (CDF, P(L<=i)) of the one-sided EWMA chart run length up to a given i. The data are normally distributed with variance 1.

spcewma2

graphical representation of a two-sided EWMA chart for given data, critical value and smoothing parameter lambda

spcewma2ad

Computes the Average Delays of a two-sided EWMA chart for a given critical value and for various expected values mu. The data is normally distributed with variance 1.

spcewma2arl

Computes the Average Run Lengths of a two-sided EWMA chart for a given critical value and for various expected values mu. The data is normally distributed with variance 1.

spcewma2c

Computes the critical value of a two-sided EWMA chart for a given in-control Average Run Length. The data is normally distributed with variance 1.

spcewma2pmf

Computes the probability mass function (PMF, P(L=i)) and the cumulative distribution function (CDF, P(L<=i)) of the two-sided EWMA chart run length for given i. The data are normally distributed with variance 1.

spcewma2pmfm

Computes the probability mass function (PMF, P(L=i)) and the cumulative distribution function (CDF, P(L<=i)) of the two-sided EWMA chart run length up to a given i. The data are normally distributed with variance 1.

spcmain

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Keywords - Function Groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

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