A vector with n elements that
contains the response variable. It can be either a row or
a column vector.
Data Types: double
It can be shown that as the tuning parameter
\alpha increases the robustness of the Minimum Density
Power Divergence estimator increases while its efficiency
decreases (Basu et al., 1998).
Data Types: double
Specify optional comma-separated pairs of Name,Value
arguments.
Name
is the argument name and Value
is the corresponding value. Name
must appear
inside single quotes (' '
).
You can specify several name and value pair arguments in any order as
Name1,Value1,...,NameN,ValueN
.
Example:
'densfunc', @tpdf
, 'lower',0
, 'upper',10
, 'theta', [10 100]
, 'RelTol', 1e-12
, 'AbsTol', 1e-9
Function handle which defines the function
to be integrated from lower to upper. The default density
function is the standard normal distribution.
Example: 'densfunc', @tpdf
Data Types: handle
The default value of lower is 1.
Example: 'lower',0
Data Types: double
The default value of upper is Inf.
Example: 'upper',10
Data Types: double
The default values of theta is [0 1] given
that the default density function is the standard normal
distribution.
Example: 'theta', [10 100]
Data Types: double
Relative error tolerance, specified as the comma-separated
pair consisting of 'RelTol' and a nonnegative real number.
mpdm uses the relative error tolerance to limit an estimate
of the relative error, |q - Q| / min(|q|,|Q|), where q is the computed
value of the integral and Q is the (unknown) exact value.
The default value of RelTol is 1e-6.
Example: 'RelTol', 1e-12
Data Types: double
Absolute error tolerance, specified as the comma-separated
pair consisting of 'AbsTol' and a nonnegative real number.
mpdm uses the absolute error tolerance to limit an estimate
of the absolute error, |q - Q|, where q is the computed
value of the integral and Q is the (unknown) exact value.
This can be useful when q or Q becomes close to zero and
the relative tolerance risks to go to infinity.
The default value of AbsTol is 1e-12.
Example: 'AbsTol', 1e-9
Data Types: double