| Name : R-EM.Fuzzy
| |
| Version : 1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:14:44
|
| Group : Development/Libraries/Other
| Source RPM : R-EM.Fuzzy-1.0-lp153.2.13.src.rpm
|
| Size : 0.07 MB
| |
| Packager : (none)
| |
| Summary : EM Algorithm for Maximum Likelihood Estimation by Non-Precise Information
|
Description :
The EM algorithm is a powerful tool for computing maximum likelihood
estimates with incomplete data. This package will help to applying EM
algorithm based on triangular and trapezoidal fuzzy numbers (as two
kinds of incomplete data). A method is proposed for estimating the
unknown parameter in a parametric statistical model when the
observations are triangular or trapezoidal fuzzy numbers. This method
is based on maximizing the observed-data likelihood defined as the
conditional probability of the fuzzy data; for more details and
formulas see Denoeux (2011) < doi:10.1016/j.fss.2011.05.022>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
