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Pemodelan Curah Hujan dengan Model Fungsi Transfer Input Ganda
(2015)
Floods are natural events that have erratic pattern. The time when floods occure are detectable, when we are able to forecast rainfall. The amount of rainfall is influenced by several factors, including temperature and ...
Perbandingan Metode MKT, LTS, WIN, dan Theil pada Pendugaan Parameter Regresi Apabila Galatnya Menyebar Eksponensial
(2015)
Parameter estimation in simple linear regression analysis can be done with Ordinary Least Square (OLS). This method requires the assumption that error must be Normally distributed. However, in reality error is not always ...
Pengamatan terhadap aktivitas pengguna jejaring media sosial Facebook dengan Statistika deskriptif
(2015)
Social network Facebook is the social network that exist long enough. Currently, Facebook is the social network with the most users in the world. More than 80% of internet users in the world have a Facebook account. In ...
Kajian Analisis Regresi Linier Bergerombol dengan Pendekatan Algoritma Genetika
(2015)
Clustered Linear Regression (CLR) analysis with Genetic Algorithms (GA) approach is able to find solutions to the data clustering based on the adjusted Rsquare (R2 adj) value, but have not been able to determine the optimum ...
Analisis Biplot dan Procrustes Terhadap Perubahan Kurikulum TPB IPB Angkatan 2010/2011 dan 2011/2012
(2015)
Bogor Agricurtural University is one of the universitity which applied Tingkat Persiapan Bersama (TPB) program. The purpose is to make an equalization of the basic science lessons quality and understanding for the first ...
Model Ekonomi Kecil Australia dengan Metode VAR
(2015)
The objective of this research is to build an Australian small economic model that use Australian Gross Domestic Product (PDB), Consumer Price Index (IHK), and the Central Bank Interest Rate (SBB) data in the period of ...
Kajian Metode Least Absolute Selection and Shrinkage Operator (LASSO) pada Data yang Mengandung Heteroskedastisitas
(2015)
Least Absolute Selection and Shrinkage Operator (LASSO) has been acknowledged to analyse high dimention data to select variables and to estimate parameters. LASSO estimators obtained by minimizing the residual sum of squares ...