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Now showing items 21-27 of 27
ANALISIS REGRESI KELAS LATEN UNTUK DATA KATEGORIK DENGAN SATU KOVARIAT (LATENT CLASS REGRESSION ANALYSIS FOR CATEGORICAL DATA WITH ONE COVARIATE)
(2014-04-10)
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 ...
STRUCTURAL EQUATION MODELING (SEM) DALAM MANAJEMEN PERBANKAN (Structural Equation Modeling (SEM) In Banking Management)
(2014-04-10)
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 ...
MODEL UNTUK DATA BERDISTRIBUSI POISSON YANG MENGANDUNG VARIABEL BEBAS KUALITATIF
(2014-04-10)
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 ...
LEAST ABSOLUTE SHRINKAGE AND SELECTION OPERATOR (LASSO) DAN ADAPTIVE RIDGE (Least Absolute Shrinkage and Selection Operator (LASSO) and Adaptive Ridge)
(2014-04-10)
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 ...
METODE PERAMALAN EXPONENTIAL SMOOTHING PADA JUMLAH WISATAWAN MANCANEGARA DI INDONESIA DENGAN PENGEMASAN R-PACKAGE T.E.S.BROWN (Exponential Smoothing Forecasting Method for Number of Foreign Tourists in Indonesia With T.E.S.Brown R-Package Packaging)
(2014-04-10)
This study aims to predict and determine the appropriate method of
Exponential Smoothing on the number of foreign tourists and the star hotels
Room Occupancy Rate (ROR) by tourists who come to Indonesia every
month, ...
ANALISIS DISKRIMINAN LINIER DAN KUADRATIK (Linear and Quadratic Discriminant Analysis)
(2014-04-10)
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 ...
OLS, LASSO dan PLS Pada data Mengandung Multikolinearitas
(2014-04-10)
Correlation between predictor variables (multicollinearity) become a problem in regression analysis.
There are some methods to solve the problem and each method has its own complexity. This research
aims to know ...