Description Usage Arguments Value Methods See Also Examples
Minimum and Maximummethods
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25  Minimum(e1, e2, ...)
Maximum(e1, e2, ...)
## S4 method for signature 'AbscontDistribution,AbscontDistribution'
Minimum(e1,e2, ...)
## S4 method for signature 'DiscreteDistribution,DiscreteDistribution'
Minimum(e1,e2, ...)
## S4 method for signature 'AbscontDistribution,Dirac'
Minimum(e1,e2,
withSimplify = getdistrOption("simplifyD"))
## S4 method for signature 'AcDcLcDistribution,AcDcLcDistribution'
Minimum(e1,e2,
withSimplify = getdistrOption("simplifyD"))
## S4 method for signature 'AcDcLcDistribution,AcDcLcDistribution'
Maximum(e1,e2,
withSimplify = getdistrOption("simplifyD"))
## S4 method for signature 'AbscontDistribution,numeric'
Minimum(e1,e2, ...)
## S4 method for signature 'DiscreteDistribution,numeric'
Minimum(e1,e2, ...)
## S4 method for signature 'AcDcLcDistribution,numeric'
Minimum(e1,e2,
withSimplify = getdistrOption("simplifyD"))
## S4 method for signature 'AcDcLcDistribution,numeric'
Maximum(e1,e2,
withSimplify = getdistrOption("simplifyD"))

e1 
distribution object 
e2 
distribution object or numeric 
... 
further arguments (to be able to call various methods with the same arguments 
withSimplify 
logical; is result to be piped through a call to

the corresponding distribution of the minimum / maximum
signature(e1 = "AbscontDistribution", e2 = "AbscontDistribution")
:
returns the distribution of min(X1,X2)
, if X1
,X2
are independent
and distributed according to e1
and e2
respectively;
the result is again of class "AbscontDistribution"
signature(e1 = "DiscreteDistribution", e2 = "DiscreteDistribution")
:
returns the distribution of min(X1,X2)
, if X1
,X2
are independent
and distributed according to e1
and e2
respectively;
the result is again of class "DiscreteDistribution"
signature(e1 = "AbscontDistribution", e2 = "Dirac")
:
returns the distribution of min(X1,X2)
, if X1
,X2
are
distributed according to e1
and e2
respectively;
the result is of class "UnivarLebDecDistribution"
signature(e1 = "AcDcLcDistribution", e2 = "AcDcLcDistribution")
:
returns the distribution of min(X1,X2)
, if X1
,X2
are
distributed according to e1
and e2
respectively;
the result is of class "UnivarLebDecDistribution"
signature(e1 = "AcDcLcDistribution", e2 = "numeric")
:
if e2
= n, returns the distribution of min(X1,X2,...,Xn)
, if X1
,X2
,
..., Xn
are i.i.d. according to e1
;
the result is of class "UnivarLebDecDistribution"
signature(e1 = "AcDcLcDistribution", e2 = "AcDcLcDistribution")
:
returns the distribution of max(X1,X2)
, if X1
,X2
are
distributed according to e1
and e2
respectively;
translates into Minimum(e1,e2)
;
the result is of class "UnivarLebDecDistribution"
signature(e1 = "AcDcLcDistribution", e2 = "numeric")
:
if e2
= n, returns the distribution of max(X1,X2,...,Xn)
, if X1
,X2
,
..., Xn
are i.i.d. according to e1
; translates into
Minimum(e1,e2)
; the result is of class "UnivarLebDecDistribution"
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