PEMODELAN PERSAMAAN REGRESI SPLINE KUADRATIK DENGAN MENENTUKAN TITIK - TITIK KNOT YANG OPTIMAL (Studi Kasus Pertambahan Persentase Penduduk dengan Persentase Penerimaan Tenaga Kerja Baru)
Regression analysis was used to see the effect of predictor variables on the response variable with a regression curve . The approach used to determine the regression curve parametric and nonparametric approaches . Spline regression models is one approach towards fitting the data with smoothness con...
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| Format: | Thesis |
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[Yogyakarta] : Universitas Gadjah Mada
2013
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| Summary: | Regression analysis was used to see the effect of predictor variables on the
response variable with a regression curve . The approach used to determine the
regression curve parametric and nonparametric approaches . Spline regression models
is one approach towards fitting the data with smoothness considering the regression
curve , which is a modification of segmented polynomial function . Spline estimator
shape is influenced by the smoothing parameter value that is essentially a
determination of the location of the point - the point knots . Selection of optimal is a
very important issue in spline regression estimation . Quadratic spline regression
model is applied to a case study of the Indonesian population growth percentage and
percentage of new recruitment in Indonesia with GCV ( Generalized Cross Validation
) and MSE selecting optimum . |
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