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java.lang.Objectcom.mathworks.toolbox.javabuilder.internal.MWComponentInstance<WeibullDist>
Weibull.WeibullDist
public class WeibullDist
The WeibullDist
class provides a Java interface to the M-functions
from the files:
/cs/local/generic/lib/pkg/matlab-7.10/toolbox/stats/wblcdf.m /cs/local/generic/lib/pkg/matlab-7.10/toolbox/stats/wblfit.m /cs/local/generic/lib/pkg/matlab-7.10/toolbox/stats/wblinv.m /cs/local/generic/lib/pkg/matlab-7.10/toolbox/stats/wblrnd.mThe
dispose()
method must be called on a WeibullDist
instance when it is no longer needed to ensure that native resources allocated by this
class are properly freed.
Field Summary |
---|
Fields inherited from class com.mathworks.toolbox.javabuilder.internal.MWComponentInstance |
---|
fMCR |
Constructor Summary | |
---|---|
WeibullDist()
Constructs a new instance of the WeibullDist class. |
|
WeibullDist(com.mathworks.toolbox.javabuilder.MWComponentOptions componentOptions)
Constructs a new instance of the WeibullDist class. |
|
WeibullDist(java.lang.String pathToComponent)
Deprecated. Please use the constructor WeibullDist(MWComponentOptions componentOptions) .
The com.mathworks.toolbox.javabuilder.MWComponentOptions class provides API to set the
path to the component. |
Method Summary | |
---|---|
void |
dispose()
Frees native resources associated with this object |
static void |
disposeAllInstances()
Calls dispose method for each outstanding instance of this class. |
static void |
main(java.lang.String[] args)
Invokes the first m-function specified by MCC, with any arguments given on the command line, and prints the result. |
java.lang.Object[] |
wblcdf(int nargout,
java.lang.Object... rhs)
Provides the standard interface for calling the wblcdf
M-function with 5 input arguments. |
void |
wblcdf(java.util.List lhs,
java.util.List rhs)
Provides the interface for calling the wblcdf M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function. |
void |
wblcdf(java.lang.Object[] lhs,
java.lang.Object[] rhs)
Provides the interface for calling the wblcdf M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function. |
java.lang.Object[] |
wblfit(int nargout,
java.lang.Object... rhs)
Provides the standard interface for calling the wblfit
M-function with 5 input arguments. |
void |
wblfit(java.util.List lhs,
java.util.List rhs)
Provides the interface for calling the wblfit M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function. |
void |
wblfit(java.lang.Object[] lhs,
java.lang.Object[] rhs)
Provides the interface for calling the wblfit M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function. |
java.lang.Object[] |
wblinv(int nargout,
java.lang.Object... rhs)
Provides the standard interface for calling the wblinv
M-function with 5 input arguments. |
void |
wblinv(java.util.List lhs,
java.util.List rhs)
Provides the interface for calling the wblinv M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function. |
void |
wblinv(java.lang.Object[] lhs,
java.lang.Object[] rhs)
Provides the interface for calling the wblinv M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function. |
java.lang.Object[] |
wblrnd(int nargout,
java.lang.Object... rhs)
Provides the standard interface for calling the wblrnd
M-function with 3 input arguments. |
void |
wblrnd(java.util.List lhs,
java.util.List rhs)
Provides the interface for calling the wblrnd M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function. |
void |
wblrnd(java.lang.Object[] lhs,
java.lang.Object[] rhs)
Provides the interface for calling the wblrnd M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function. |
Methods inherited from class com.mathworks.toolbox.javabuilder.internal.MWComponentInstance |
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finalize, waitForFigures |
Methods inherited from class java.lang.Object |
---|
clone, equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
---|
public WeibullDist() throws com.mathworks.toolbox.javabuilder.MWException
WeibullDist
class.
com.mathworks.toolbox.javabuilder.MWException
public WeibullDist(java.lang.String pathToComponent) throws com.mathworks.toolbox.javabuilder.MWException
WeibullDist(MWComponentOptions componentOptions)
.
The com.mathworks.toolbox.javabuilder.MWComponentOptions
class provides API to set the
path to the component.
pathToComponent
- Path to component directory.
com.mathworks.toolbox.javabuilder.MWException
public WeibullDist(com.mathworks.toolbox.javabuilder.MWComponentOptions componentOptions) throws com.mathworks.toolbox.javabuilder.MWException
WeibullDist
class. Use this
constructor to specify the options required to instantiate this component. The
options will be specific to the instance of this component being created.
componentOptions
- Options specific to the component.
com.mathworks.toolbox.javabuilder.MWException
Method Detail |
---|
public void dispose()
dispose
in interface com.mathworks.toolbox.javabuilder.Disposable
dispose
in class com.mathworks.toolbox.javabuilder.internal.MWComponentInstance<WeibullDist>
public static void main(java.lang.String[] args)
public static void disposeAllInstances()
public void wblcdf(java.util.List lhs, java.util.List rhs) throws com.mathworks.toolbox.javabuilder.MWException
wblcdf
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
M-documentation as provided by the author of the M function:
%WBLCDF Weibull cumulative distribution function (cdf). % P = WBLCDF(X,A,B) returns the cdf of the Weibull distribution % with scale parameter A and shape parameter B, evaluated at the % values in X. The size of P is the common size of the input arguments. % A scalar input functions as a constant matrix of the same size as the % other inputs. % % Default values for A and B are 1 and 1, respectively. % % [P,PLO,PUP] = WBLCDF(X,A,B,PCOV,ALPHA) produces confidence % bounds for P when the input parameters A and B are estimates. % PCOV is a 2-by-2 matrix containing the covariance matrix of the estimated % parameters. ALPHA has a default value of 0.05, and specifies % 100*(1-ALPHA)% confidence bounds. PLO and PUP are arrays of the same % size as P containing the lower and upper confidence bounds. % % See also CDF, WBLFIT, WBLINV, WBLLIKE, WBLPDF, WBLRND, WBLSTAT.
lhs
- List in which to return outputs. Number of outputs (nargout) is
determined by allocated size of this List. Outputs are returned as
sub-classes of com.mathworks.toolbox.javabuilder.MWArray
.
Each output array should be freed by calling its dispose()
method.rhs
- List containing inputs. Number of inputs (nargin) is determined
by the allocated size of this List. Input arguments may be passed as
sub-classes of com.mathworks.toolbox.javabuilder.MWArray
, or
as arrays of any supported Java type. Arguments passed as Java types are
converted to MATLAB arrays according to default conversion rules.
com.mathworks.toolbox.javabuilder.MWException
- An error has occurred during the function call.public void wblcdf(java.lang.Object[] lhs, java.lang.Object[] rhs) throws com.mathworks.toolbox.javabuilder.MWException
wblcdf
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
M-documentation as provided by the author of the M function:
%WBLCDF Weibull cumulative distribution function (cdf). % P = WBLCDF(X,A,B) returns the cdf of the Weibull distribution % with scale parameter A and shape parameter B, evaluated at the % values in X. The size of P is the common size of the input arguments. % A scalar input functions as a constant matrix of the same size as the % other inputs. % % Default values for A and B are 1 and 1, respectively. % % [P,PLO,PUP] = WBLCDF(X,A,B,PCOV,ALPHA) produces confidence % bounds for P when the input parameters A and B are estimates. % PCOV is a 2-by-2 matrix containing the covariance matrix of the estimated % parameters. ALPHA has a default value of 0.05, and specifies % 100*(1-ALPHA)% confidence bounds. PLO and PUP are arrays of the same % size as P containing the lower and upper confidence bounds. % % See also CDF, WBLFIT, WBLINV, WBLLIKE, WBLPDF, WBLRND, WBLSTAT.
lhs
- array in which to return outputs. Number of outputs (nargout)
is determined by allocated size of this array. Outputs are returned as
sub-classes of com.mathworks.toolbox.javabuilder.MWArray
.
Each output array should be freed by calling its dispose()
method.rhs
- array containing inputs. Number of inputs (nargin) is
determined by the allocated size of this array. Input arguments may be
passed as sub-classes of
com.mathworks.toolbox.javabuilder.MWArray
, or as arrays of
any supported Java type. Arguments passed as Java types are converted to
MATLAB arrays according to default conversion rules.
com.mathworks.toolbox.javabuilder.MWException
- An error has occurred during the function call.public java.lang.Object[] wblcdf(int nargout, java.lang.Object... rhs) throws com.mathworks.toolbox.javabuilder.MWException
wblcdf
M-function with 5 input arguments.
Input arguments may be passed as sub-classes of
com.mathworks.toolbox.javabuilder.MWArray
, or as arrays of
any supported Java type. Arguments passed as Java types are converted to
MATLAB arrays according to default conversion rules.
M-documentation as provided by the author of the M function:
%WBLCDF Weibull cumulative distribution function (cdf). % P = WBLCDF(X,A,B) returns the cdf of the Weibull distribution % with scale parameter A and shape parameter B, evaluated at the % values in X. The size of P is the common size of the input arguments. % A scalar input functions as a constant matrix of the same size as the % other inputs. % % Default values for A and B are 1 and 1, respectively. % % [P,PLO,PUP] = WBLCDF(X,A,B,PCOV,ALPHA) produces confidence % bounds for P when the input parameters A and B are estimates. % PCOV is a 2-by-2 matrix containing the covariance matrix of the estimated % parameters. ALPHA has a default value of 0.05, and specifies % 100*(1-ALPHA)% confidence bounds. PLO and PUP are arrays of the same % size as P containing the lower and upper confidence bounds. % % See also CDF, WBLFIT, WBLINV, WBLLIKE, WBLPDF, WBLRND, WBLSTAT.
nargout
- Number of outputs to return.rhs
- The inputs to the M function.
com.mathworks.toolbox.javabuilder.MWArray
. Each output array
should be freed by calling its dispose()
method.
com.mathworks.toolbox.javabuilder.MWException
- An error has occurred during the function call.public void wblfit(java.util.List lhs, java.util.List rhs) throws com.mathworks.toolbox.javabuilder.MWException
wblfit
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
M-documentation as provided by the author of the M function:
%WBLFIT Parameter estimates and confidence intervals for Weibull data. % PARMHAT = WBLFIT(X) returns maximum likelihood estimates of the % parameters of the Weibull distribution given the data in X. PARMHAT(1) % is the scale parameter, A, and PARMHAT(2) is the shape parameter, B. % % [PARMHAT,PARMCI] = WBLFIT(X) returns 95% confidence intervals for the % parameter estimates. % % [PARMHAT,PARMCI] = WBLFIT(X,ALPHA) returns 100(1-ALPHA) percent % confidence intervals for the parameter estimates. % % [...] = WBLFIT(X,ALPHA,CENSORING) accepts a boolean vector of the same % size as X that is 1 for observations that are right-censored and 0 for % observations that are observed exactly. % % [...] = WBLFIT(X,ALPHA,CENSORING,FREQ) accepts a frequency vector of % the same size as X. FREQ typically contains integer frequencies for % the corresponding elements in X, but may contain any non-integer % non-negative values. % % [...] = WBLFIT(X,ALPHA,CENSORING,FREQ,OPTIONS) specifies control % parameters for the iterative algorithm used to compute ML estimates. % This argument can be created by a call to STATSET. See STATSET('wblfit') % for parameter names and default values. % % Pass in [] for ALPHA, CENSORING, or FREQ to use their default values. % % See also WBLCDF, WBLINV, WBLLIKE, WBLPDF, WBLRND, WBLSTAT, MLE, % STATSET.
lhs
- List in which to return outputs. Number of outputs (nargout) is
determined by allocated size of this List. Outputs are returned as
sub-classes of com.mathworks.toolbox.javabuilder.MWArray
.
Each output array should be freed by calling its dispose()
method.rhs
- List containing inputs. Number of inputs (nargin) is determined
by the allocated size of this List. Input arguments may be passed as
sub-classes of com.mathworks.toolbox.javabuilder.MWArray
, or
as arrays of any supported Java type. Arguments passed as Java types are
converted to MATLAB arrays according to default conversion rules.
com.mathworks.toolbox.javabuilder.MWException
- An error has occurred during the function call.public void wblfit(java.lang.Object[] lhs, java.lang.Object[] rhs) throws com.mathworks.toolbox.javabuilder.MWException
wblfit
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
M-documentation as provided by the author of the M function:
%WBLFIT Parameter estimates and confidence intervals for Weibull data. % PARMHAT = WBLFIT(X) returns maximum likelihood estimates of the % parameters of the Weibull distribution given the data in X. PARMHAT(1) % is the scale parameter, A, and PARMHAT(2) is the shape parameter, B. % % [PARMHAT,PARMCI] = WBLFIT(X) returns 95% confidence intervals for the % parameter estimates. % % [PARMHAT,PARMCI] = WBLFIT(X,ALPHA) returns 100(1-ALPHA) percent % confidence intervals for the parameter estimates. % % [...] = WBLFIT(X,ALPHA,CENSORING) accepts a boolean vector of the same % size as X that is 1 for observations that are right-censored and 0 for % observations that are observed exactly. % % [...] = WBLFIT(X,ALPHA,CENSORING,FREQ) accepts a frequency vector of % the same size as X. FREQ typically contains integer frequencies for % the corresponding elements in X, but may contain any non-integer % non-negative values. % % [...] = WBLFIT(X,ALPHA,CENSORING,FREQ,OPTIONS) specifies control % parameters for the iterative algorithm used to compute ML estimates. % This argument can be created by a call to STATSET. See STATSET('wblfit') % for parameter names and default values. % % Pass in [] for ALPHA, CENSORING, or FREQ to use their default values. % % See also WBLCDF, WBLINV, WBLLIKE, WBLPDF, WBLRND, WBLSTAT, MLE, % STATSET.
lhs
- array in which to return outputs. Number of outputs (nargout)
is determined by allocated size of this array. Outputs are returned as
sub-classes of com.mathworks.toolbox.javabuilder.MWArray
.
Each output array should be freed by calling its dispose()
method.rhs
- array containing inputs. Number of inputs (nargin) is
determined by the allocated size of this array. Input arguments may be
passed as sub-classes of
com.mathworks.toolbox.javabuilder.MWArray
, or as arrays of
any supported Java type. Arguments passed as Java types are converted to
MATLAB arrays according to default conversion rules.
com.mathworks.toolbox.javabuilder.MWException
- An error has occurred during the function call.public java.lang.Object[] wblfit(int nargout, java.lang.Object... rhs) throws com.mathworks.toolbox.javabuilder.MWException
wblfit
M-function with 5 input arguments.
Input arguments may be passed as sub-classes of
com.mathworks.toolbox.javabuilder.MWArray
, or as arrays of
any supported Java type. Arguments passed as Java types are converted to
MATLAB arrays according to default conversion rules.
M-documentation as provided by the author of the M function:
%WBLFIT Parameter estimates and confidence intervals for Weibull data. % PARMHAT = WBLFIT(X) returns maximum likelihood estimates of the % parameters of the Weibull distribution given the data in X. PARMHAT(1) % is the scale parameter, A, and PARMHAT(2) is the shape parameter, B. % % [PARMHAT,PARMCI] = WBLFIT(X) returns 95% confidence intervals for the % parameter estimates. % % [PARMHAT,PARMCI] = WBLFIT(X,ALPHA) returns 100(1-ALPHA) percent % confidence intervals for the parameter estimates. % % [...] = WBLFIT(X,ALPHA,CENSORING) accepts a boolean vector of the same % size as X that is 1 for observations that are right-censored and 0 for % observations that are observed exactly. % % [...] = WBLFIT(X,ALPHA,CENSORING,FREQ) accepts a frequency vector of % the same size as X. FREQ typically contains integer frequencies for % the corresponding elements in X, but may contain any non-integer % non-negative values. % % [...] = WBLFIT(X,ALPHA,CENSORING,FREQ,OPTIONS) specifies control % parameters for the iterative algorithm used to compute ML estimates. % This argument can be created by a call to STATSET. See STATSET('wblfit') % for parameter names and default values. % % Pass in [] for ALPHA, CENSORING, or FREQ to use their default values. % % See also WBLCDF, WBLINV, WBLLIKE, WBLPDF, WBLRND, WBLSTAT, MLE, % STATSET.
nargout
- Number of outputs to return.rhs
- The inputs to the M function.
com.mathworks.toolbox.javabuilder.MWArray
. Each output array
should be freed by calling its dispose()
method.
com.mathworks.toolbox.javabuilder.MWException
- An error has occurred during the function call.public void wblinv(java.util.List lhs, java.util.List rhs) throws com.mathworks.toolbox.javabuilder.MWException
wblinv
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
M-documentation as provided by the author of the M function:
%WBLINV Inverse of the Weibull cumulative distribution function (cdf). % X = WBLINV(P,A,B) returns the inverse cdf for a Weibull % distribution with scale parameter A and shape parameter B, % evaluated at the values in P. The size of X is the common size of the % input arguments. A scalar input functions as a constant matrix of the % same size as the other inputs. % % Default values for A and B are 1 and 1, respectively. % % [X,XLO,XUP] = WBLINV(P,A,B,PCOV,ALPHA) produces confidence % bounds for X when the input parameters A and B are estimates. % PCOV is a 2-by-2 matrix containing the covariance matrix of the estimated % parameters. ALPHA has a default value of 0.05, and specifies % 100*(1-ALPHA)% confidence bounds. XLO and XUP are arrays of the same % size as X containing the lower and upper confidence bounds. % % See also WBLCDF, WBLFIT, WBLLIKE, WBLPDF, WBLRND, WBLSTAT, ICDF.
lhs
- List in which to return outputs. Number of outputs (nargout) is
determined by allocated size of this List. Outputs are returned as
sub-classes of com.mathworks.toolbox.javabuilder.MWArray
.
Each output array should be freed by calling its dispose()
method.rhs
- List containing inputs. Number of inputs (nargin) is determined
by the allocated size of this List. Input arguments may be passed as
sub-classes of com.mathworks.toolbox.javabuilder.MWArray
, or
as arrays of any supported Java type. Arguments passed as Java types are
converted to MATLAB arrays according to default conversion rules.
com.mathworks.toolbox.javabuilder.MWException
- An error has occurred during the function call.public void wblinv(java.lang.Object[] lhs, java.lang.Object[] rhs) throws com.mathworks.toolbox.javabuilder.MWException
wblinv
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
M-documentation as provided by the author of the M function:
%WBLINV Inverse of the Weibull cumulative distribution function (cdf). % X = WBLINV(P,A,B) returns the inverse cdf for a Weibull % distribution with scale parameter A and shape parameter B, % evaluated at the values in P. The size of X is the common size of the % input arguments. A scalar input functions as a constant matrix of the % same size as the other inputs. % % Default values for A and B are 1 and 1, respectively. % % [X,XLO,XUP] = WBLINV(P,A,B,PCOV,ALPHA) produces confidence % bounds for X when the input parameters A and B are estimates. % PCOV is a 2-by-2 matrix containing the covariance matrix of the estimated % parameters. ALPHA has a default value of 0.05, and specifies % 100*(1-ALPHA)% confidence bounds. XLO and XUP are arrays of the same % size as X containing the lower and upper confidence bounds. % % See also WBLCDF, WBLFIT, WBLLIKE, WBLPDF, WBLRND, WBLSTAT, ICDF.
lhs
- array in which to return outputs. Number of outputs (nargout)
is determined by allocated size of this array. Outputs are returned as
sub-classes of com.mathworks.toolbox.javabuilder.MWArray
.
Each output array should be freed by calling its dispose()
method.rhs
- array containing inputs. Number of inputs (nargin) is
determined by the allocated size of this array. Input arguments may be
passed as sub-classes of
com.mathworks.toolbox.javabuilder.MWArray
, or as arrays of
any supported Java type. Arguments passed as Java types are converted to
MATLAB arrays according to default conversion rules.
com.mathworks.toolbox.javabuilder.MWException
- An error has occurred during the function call.public java.lang.Object[] wblinv(int nargout, java.lang.Object... rhs) throws com.mathworks.toolbox.javabuilder.MWException
wblinv
M-function with 5 input arguments.
Input arguments may be passed as sub-classes of
com.mathworks.toolbox.javabuilder.MWArray
, or as arrays of
any supported Java type. Arguments passed as Java types are converted to
MATLAB arrays according to default conversion rules.
M-documentation as provided by the author of the M function:
%WBLINV Inverse of the Weibull cumulative distribution function (cdf). % X = WBLINV(P,A,B) returns the inverse cdf for a Weibull % distribution with scale parameter A and shape parameter B, % evaluated at the values in P. The size of X is the common size of the % input arguments. A scalar input functions as a constant matrix of the % same size as the other inputs. % % Default values for A and B are 1 and 1, respectively. % % [X,XLO,XUP] = WBLINV(P,A,B,PCOV,ALPHA) produces confidence % bounds for X when the input parameters A and B are estimates. % PCOV is a 2-by-2 matrix containing the covariance matrix of the estimated % parameters. ALPHA has a default value of 0.05, and specifies % 100*(1-ALPHA)% confidence bounds. XLO and XUP are arrays of the same % size as X containing the lower and upper confidence bounds. % % See also WBLCDF, WBLFIT, WBLLIKE, WBLPDF, WBLRND, WBLSTAT, ICDF.
nargout
- Number of outputs to return.rhs
- The inputs to the M function.
com.mathworks.toolbox.javabuilder.MWArray
. Each output array
should be freed by calling its dispose()
method.
com.mathworks.toolbox.javabuilder.MWException
- An error has occurred during the function call.public void wblrnd(java.util.List lhs, java.util.List rhs) throws com.mathworks.toolbox.javabuilder.MWException
wblrnd
M-function
where the first input, an instance of List, receives the output of the M-function and
the second input, also an instance of List, provides the input to the M-function.
M-documentation as provided by the author of the M function:
%WBLRND Random arrays from the Weibull distribution. % R = WBLRND(A,B) returns an array of random numbers chosen from the % Weibull distribution with scale parameter A and shape parameter B. The % size of R is the common size of A and B if both are arrays. If either % parameter is a scalar, the size of R is the size of the other % parameter. % % R = WBLRND(A,B,M,N,...) or R = WBLRND(A,B,[M,N,...]) returns an % M-by-N-by-... array. % % See also WBLCDF, WBLFIT, WBLINV, WBLLIKE, WBLPDF, WBLSTAT, RANDOM.
lhs
- List in which to return outputs. Number of outputs (nargout) is
determined by allocated size of this List. Outputs are returned as
sub-classes of com.mathworks.toolbox.javabuilder.MWArray
.
Each output array should be freed by calling its dispose()
method.rhs
- List containing inputs. Number of inputs (nargin) is determined
by the allocated size of this List. Input arguments may be passed as
sub-classes of com.mathworks.toolbox.javabuilder.MWArray
, or
as arrays of any supported Java type. Arguments passed as Java types are
converted to MATLAB arrays according to default conversion rules.
com.mathworks.toolbox.javabuilder.MWException
- An error has occurred during the function call.public void wblrnd(java.lang.Object[] lhs, java.lang.Object[] rhs) throws com.mathworks.toolbox.javabuilder.MWException
wblrnd
M-function
where the first input, an Object array, receives the output of the M-function and
the second input, also an Object array, provides the input to the M-function.
M-documentation as provided by the author of the M function:
%WBLRND Random arrays from the Weibull distribution. % R = WBLRND(A,B) returns an array of random numbers chosen from the % Weibull distribution with scale parameter A and shape parameter B. The % size of R is the common size of A and B if both are arrays. If either % parameter is a scalar, the size of R is the size of the other % parameter. % % R = WBLRND(A,B,M,N,...) or R = WBLRND(A,B,[M,N,...]) returns an % M-by-N-by-... array. % % See also WBLCDF, WBLFIT, WBLINV, WBLLIKE, WBLPDF, WBLSTAT, RANDOM.
lhs
- array in which to return outputs. Number of outputs (nargout)
is determined by allocated size of this array. Outputs are returned as
sub-classes of com.mathworks.toolbox.javabuilder.MWArray
.
Each output array should be freed by calling its dispose()
method.rhs
- array containing inputs. Number of inputs (nargin) is
determined by the allocated size of this array. Input arguments may be
passed as sub-classes of
com.mathworks.toolbox.javabuilder.MWArray
, or as arrays of
any supported Java type. Arguments passed as Java types are converted to
MATLAB arrays according to default conversion rules.
com.mathworks.toolbox.javabuilder.MWException
- An error has occurred during the function call.public java.lang.Object[] wblrnd(int nargout, java.lang.Object... rhs) throws com.mathworks.toolbox.javabuilder.MWException
wblrnd
M-function with 3 input arguments.
Input arguments may be passed as sub-classes of
com.mathworks.toolbox.javabuilder.MWArray
, or as arrays of
any supported Java type. Arguments passed as Java types are converted to
MATLAB arrays according to default conversion rules.
M-documentation as provided by the author of the M function:
%WBLRND Random arrays from the Weibull distribution. % R = WBLRND(A,B) returns an array of random numbers chosen from the % Weibull distribution with scale parameter A and shape parameter B. The % size of R is the common size of A and B if both are arrays. If either % parameter is a scalar, the size of R is the size of the other % parameter. % % R = WBLRND(A,B,M,N,...) or R = WBLRND(A,B,[M,N,...]) returns an % M-by-N-by-... array. % % See also WBLCDF, WBLFIT, WBLINV, WBLLIKE, WBLPDF, WBLSTAT, RANDOM.
nargout
- Number of outputs to return.rhs
- The inputs to the M function.
com.mathworks.toolbox.javabuilder.MWArray
. Each output array
should be freed by calling its dispose()
method.
com.mathworks.toolbox.javabuilder.MWException
- An error has occurred during the function call.
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