A classification and grouping object into groups based on several factors often approached with diskriminan analysis. Process of grouping of discriminant analysis by build discriminant function of each group and count ...

Various clustering algorithms have been developed to group data into clusters. This paper describes clustering objects with mixed categorical and numeric data types. The methods used are two step clustering and transforms ...

AMMI rnerupakan metode renting dalam program pernuliaan tanaman terutarna untuk menunjukkan kestabilan genotipe. penelitian sering dikenal dengan percobaan lokasi ganda. AMMI rnemberikan model dari interaksi genotipe x ...

Various clustering algorithms have been developed to group data into clusters. This paper describes clustering objects with mixed categorical and numeric data types. The methods used are two step clustering and transforms ...

Correlation between predictor variables (multicollinearity) become a problem in regression analysis. There are some methods to solve the problem. Each method has complexity. One of those methods is PLS. This research ...

Susu formula dengan komposisi gizi pada berbagai merk yang ada di pasaran menarik untuk diteliti agar diketahui komposisi gizi yang mendekati standar komposisi gizi yang cocok diberikan pada balita dengan harga ...

Analisis regresi kelas laten merupakan analisis multivariat untuk data kategorik. Estimasi parameter pada analisis regresi kelas laten menggunakan algoritma EM (ekspektasi-maksimisasi) yang dilanjutkan dengan metode ...

In Structural Equation Modeling (SEM) we can do three steps at once, those are verification of validity and reliability instrument, the evaluation of relation among latent variable, and evaluation of useful model for ...

The main purpose of this research is to build model of data that distribution of respon variable is Poisson and dependent variable has qualitative variable, beside that, to know estimation of parameters and testing of ...

The LASSO is a shrinkage and selection method for linear regression. It minimizes sum square of residual subject to sum of absolute coefficient less than a constant. Adaptive Ridge is special form of Ridge ...