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All Journal Science and Technology Indonesia Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika
Sarmada Sarmada
Andalas University
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Decision Sciences, Operations Research & Management Education Environmental Science Materials Science & Nanotechnology Mathematics Physics

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Quantile Regression Approach to Model Censored Data Sarmada Sarmada; Ferra Yanuar
Science and Technology Indonesia Vol. 5 No. 3 (2020): July
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (929.748 KB) | DOI: 10.26554/sti.2020.5.3.79-84

Abstract

Abstract The censored quantile regression model is derived from the censored model. This method is used to overcome problems in modeling censored data as well as to overcome the assumptions of linear models that are not met. The purpose of this study is to compare the results of the analysis of the quantile regression method with the censored quantile regression method for censored data. Both methods were applied to generated data of 150, 500, and 3000 sample size. The best model is then chosen based on the smallest absolute bias and the smallest standard error as an indicator of the goodness of the model. This study proves that the censored quantile regression method tends to produce smaller absolute bias and a smaller standard error than the quantile regression method for all three group data specified. Thus it can be concluded that the censored quantile regression method could result in acceptable model for censored data. Keywords: Censored data; quantile regression; quantile regression censored; standard error; absolute bias.
ANALISIS MODEL KEPUASAAN CIVITAS AKADEMIKA TERHADAP PELAYANAN PERPUSTAKAAN DI FAKULTAS SAINS DAN TEKNOLOGI UNIVERSITAS JAMBI DENGAN METODE STRUCTURAL EQUATION MODELING (SEM) Sherli Yurinanda; Syamsyida Rozi; Sarmada Sarmada
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 3 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i3.434

Abstract

Service quality comes from a comparison between customer expectations about the service they should receive with the service they actually get. An important service unit in state universities such as the University of Jambi is the library service. The library is a service unit that provides services in the field of literature. The needs of library users, especially students, for science and other educational media are difficult to separate. Therefore, the library is one of the academic support facilities needed by library users such as students and lecturers. Based on the results of observations, various efforts have been made by the FST UNJA’s Library to improve services, but these improvements are still not optimal. Therefore, it is necessary to analyze the factors that influence service quality to assist the FST UNJA’s Library in reviewing the factors that affect service quality. The Structural Equation Modeling (SEM) method is a multivariate statistical method that can be used to look at the factors that influence the quality of the service. SEM is an appropriate analysis used in social research. In this study, there are two exogenous variables used, the first is employee competency which has manifest variables to measure it, such as knowledge, understanding, ability and attitude. The second is library facilities that have manifest variables to measure them, namely library space, library equipment and reading book collections. As well as the endogenous variables used in this study is the quality of service which has five manifest variables of reliability, responsiveness, assurance, empathy and tangible. The research data is primary data obtained by researchers by distributing questionnaires to visitors to the FST UNJA’s library
Co-Authors Devianto, Dodi Syamsyida Rozi Yanuar, Ferra Yurinanda, Sherli