| Option |
Description |
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INVERSE
|
Returns critical values for some distributions.
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LLF
|
Computes the Log of the Likelihood function for the data and prints it and stores it in the temporary variable $LLF.
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NOLIST
|
Suppresses list of probabilities.
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ACCURACY=
|
Level of accuracy for TYPE=DAVIES.
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BEG=,END=
|
Specifies the sample range to be used.
|
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BIGN=
|
Specifies the population size for the Hypergeometric distribution.
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BIGX=
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Specifies the population number of successes for the Hypergeometric distribution.
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C=
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Specifies a parameter value for some distributions.
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CDF=
|
Saves the cumulative distribution probability.
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CRITICAL=
|
Saves the critical values when the INVERSE option is used.
|
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DF=
|
Specifies the degrees of freedom. Used only with TYPE=T and TYPE=CHI.
|
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DFVEC=
|
Specifies vector of Degrees of Freedom for TYPE=DAVIES.
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DF1=,DF2=
|
Specifies the degrees of freedom for the numerator and the denominator. Used only with TYPE=F.
|
|
EIGENVAL=
|
Specifies the eigenvalue to be used with the TYPE=IMHOF option.
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H=
|
Specifies the precision parameter for the t-distribution.
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K=
|
Parameter K for TYPE=BURRII, BURRIII, BURRXII
|
|
KURTOSIS=
|
Specifies the population KURTOSIS parameter for an EDGE approximation.
|
|
LAMBDA=
|
A LAMBDA vector with TYPE=DAVIES.
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LIMIT=
|
Integration terms with TYPE=DAVIES.
|
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MEAN=
|
Specifies the population mean value for some distributions.
|
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N=
|
Specifies a parameter value for some distributions.
|
|
NEIGEN=
|
Specifies the number of Eigenvalues to be used with the TYPE=IMHOF option if the entire vector is not required.
|
|
NONCEN=
|
Specifies the non-centrality parameter value of the Davies distribution.
|
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PDF=
|
Saves the densities in the variable specified.
|
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P=,Q=
|
Specifies parameter values for some distributions.
|
|
SKEWNESS=
|
Specifies the population skewness coefficient for an EDGE approximation.
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S=,V=
|
Specifies parameter values for some distributions.
|
|
TYPE=
|
Specifies the type of distribution. A list of options is given below.
|
|
VAR=
|
Specifies the variance. Used only with TYPE=BETA, TYPE=EDGE and TYPE=NORMAL.
|
|
X=
|
Specifies a parameter value for some distributions.
|
| Option |
Description |
|
BERNOULLI
|
Bernoulli Distribution, parameter P=.
|
|
BETA
|
Beta Distribution P= and Q=, or MEAN= and VAR= must be used. The beta variable must be in the 0-1 interval.
|
|
BINOMIAL
|
Binomial Distribution, parameters N= and P=.
|
|
BURRII, BURRIII, BURRXII
|
The Burr Distribution.
|
|
CAUCHY
|
Cauchy Distribution (same as t with DF=1).
|
|
CHI
|
Chi Squared Distribution DF= must be used.
|
|
DAVIES
|
Davies Distribution.
|
|
EDGE
|
Edgeworth Approximation MEAN=, VAR=, SKEWNESS= and KURTOSIS= should be used.
|
|
ERLANG
|
Erlang Distribution, parameters are P= and Q=. Same as gamma with q an integer.
|
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EXPONENTIAL
|
Exponential distribution, parameter MEAN=.
|
|
EXTREME
|
Extreme Value Distribution
|
|
F
|
F Distribution
DF1= and DF2= must be used.
C= must be used for a Non-Central F Distribution.
|
|
GAMMA
|
Gamma Distribution, parameters are P= and Q=.
|
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GEOMETRIC
|
Geometric Distribution, parameter P=.
|
|
HYPERGEO
|
Hypergeometric Distribution, parameters are BIGN=, N= and BIGX=.
|
|
LOGISTIC
|
Logistic distribution.
|
|
LOGNORMAL
|
Lognormal distribution.
|
|
IG2
|
Inverted Gamma, parameters are S= and V=.
|
|
IMHOF
|
Imhof Distribution. EIGENVAL= must be used.
|
|
NEGBIN
|
Negative binomial distribution, parameters are P= and X=.
|
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NORMAL
|
Normal Distribution. MEAN=, and VAR= should be used with it.
|
|
PARETO
|
Pareto distribution, parameter C= (default is C=1).
|
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PASCAL
|
Pascal distribution, parameters are P= and X=.
|
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POISSON
|
Poisson distribution, parameter MEAN=.
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POWER
|
Power function distribution, parameter C= (default is C=1).
|
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T
|
Student's t Distribution. DF= must be used.
|
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WEIBULL
|
Weibull distribution, parameters P= and Q=.
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