Residuals are minimized in a correlated dataset by selecting smoothing parameter with optimum performance the spline. The selection methods utilized this study include Generalized Maximum Likelihood (GML), Cross-Validation (GCV), Unbiased Risk (UBR), and Proposed Smoothing Method (PSM). aim of is to compare ability four for autocorrelation structure error term. To achieve purpose, Monte-Carlo s...

Angka kematian maternal menjadi salah satu indikator yang dapat menggambarkan kesejahteraan masyarakat di suatu negara. Pada tahun 2019, Provinsi Jawa Barat tercatat jumlah ibu sebanyak 684 kasus atau 74,19 per 100.000 kelahiran hidup. Salah upaya untuk menurunkan angka dilakukan dengan memodelkan terhadap faktor mempengaruhinya sehingga nilai diestimasi. penelitian ini, diestimasi parameter mo...

Based on Kullback-Leibler information we propose a data-driven selector, called GAIC (c) , for choosing parameters of regression splines in nonparametric regression via a stepwise forward/backward knot placement and deletion strategy 1]. This criterion uniies the commonly used information criteria and includes the Akaike information criterion (AIC) 2] and the corrected Akaike information criter...

For practical engineering structures, it is usually difficult to measure external load distribution in a direct manner, which makes inverse identification important. Specifically, typical problem, for the models (e.g., response matrix) are often ill-posed, resulting degraded accuracy and impaired noise immunity of identification. This study aims at identifying loads stiffened plate structure, t...

BACKGROUND Poisson regression modeling has been widely used to estimate influenza-associated disease burden, as it has the advantage of adjusting for multiple seasonal confounders. However, few studies have discussed how to judge the adequacy of confounding adjustment. This study aims to compare the performance of commonly adopted model selection criteria in terms of providing a reliable and va...

Untuk mencapai terciptanya kehidupan bermasyarakat yang aman dan damai, tindak kriminal menjadi salah satu hal sangat diperhatikan. Pada tahun 2020, di Indonesia terjadi 6.872 kejadian kejahatan terhadap kesusilaan 36.672 fisik. Salah upaya bisa dilakukan untuk menekan jumlah fisik adalah dengan memodelkan tersebut atas faktor-faktor memengaruhinya sehingga dapat diperoleh prediksinya. peneliti...

COVID-19 sangat mempengaruhi segala aspek kehidupan dalam masyarakat salah satunya tidak hanya perlambatannya bidang ekonomi, kesehatan, namun di pendidikan pun terkena dampak besar akibat dari ini. Dilihat indikator biasanya seseorang yang memiliki tinggi peluang diterima pada suatu perusahaan akan semakin besar. Semakin tingkat maka capaian rata-rata lama sekolah pula. Maka itu penelitian ini...

The topic of my dissertation research is Bayesian methods in the social sciences. There will be several parts to the dissertation. One part, the focus of this proposal, is a novel method called tuned Bayesian model averaging (tBMA) that modifies Bayesian model averaging (BMA) by using the data to inform the prior specification. BMA is a tool that accounts for model uncertainty in typical regres...

In this study effects that are significant on the fuel consumption of F-4 aircrafts are analyzed by using different statistical methods and the results of those different methods are compared. The response variable of every possible combination of factors and interactions are analyzed to provide information about main effect(s) and interaction effect(s). MARS is applied in order to find the rel...

By coupling the wavelet transform with a particular nonlinear shrinking function, the Red-telescopic optimal wavelet estimation of the risk (TOWER) method is introduced for removing noise from signals. It is shown that the method yields convergence of the 2 risk to the actual solution with optimal rate. Moreover, the method is proved to be asymptotically efficient when the regularization parame...