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

spccusum1
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
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.
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
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
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

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

 (C) MD*TECH Method and Data Technologies, 05.02.2006 Impressum