Search Results - "computational statistics"
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Impact of experimenting computational statistics for data science in introductory statistics course: a Malaysian perspective
Published 2020“…As the backbone of modern data science, computational statistics is deemed to revamp the learning of statistics to a large extent. …”
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Penggunaan Pendekatan Sistem-S dan ESSYNS dalam Analisis Taburan Normal
Published 1994“…The purpose of this paper is to illustrate the use of S-systems methodology and ESSYNS software in the area of computational statistics. First, we demonstrate how the densities are formulated as S-systems, then we derive representations for cumulatives and quantiles. …”
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Bayesian hidden Markov models in DNA sequence segmentation using R: the case of Simian Vacuolating virus (SV40)
Published 2017“…Concomitantly in the last few decades, the free R programming language has become a dominant tool for computational statistics, visualization and data science. Therefore, this paper aims to fully exploit R to fit a Bayesian HMM for DNA segmentation. …”
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Detection of multiple outliners in linear regression using nonparametric methods
Published 2004“…New Algorithms for Computing the Least Trimmed Squares Regression Estimator. Computational Statistics and Data Analysis 36. 425-439. Aldenderfer M.S and Blashfield R.K.(1984). …”
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Comparison between fuzzy bootstrap weighted multiple linear regression and multiple linear regression: a case study for oral cancer modelling
Published 2018“…Objectives: In this study, multiple linear regression model was calculated by using SAS programming language based on computational statistics which considered combination of robust regression, bootstrap, weighted data, Bayesian, and fuzzy regression method. …”
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Assesment of safety awareness among KWSP Headquaters employees
Published 2001“…The data was subsequently analysed by using computer statistical software and followed with discussions. …”
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Pembangunan dimensi baru bagi model regresi eksponen (kreb): aplikasi dalam sains kesihatan
Published 2020“…In conclusion, the KREB Model that was developed has successfully optimised the results of the study through the computational statistical calculation method.…”
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Empirical Study on Acceptance Level of Mobile Transaction Due To Privacy Invasion
Published 2014“…For the data analysis, Statistical Package of Social Schemes (SPSS) version 20.0 Software and Partial Least Squares regression (PLS) version beta were deployed in computing statistical data.…”
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Confidence Intervals for Parallel Systems with Covariates
Published 1997“…These intervals are easy to compute and they are used in most computer statistical packages. However, these intervals have some limitations. …”
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Which fundamental analysis ratio(s) is better at predicting future stock price movement?
Published 2022“…This paper employs Pooled Mean Group (PMG) to compute statistical results and determine long run relationships. …”
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Value at Risk Disclosures: The Case of Canada Revisited
Published 2011“…The data used in this paper is based on the graphs extracted from the banks’ annual reports using the R software for computing statistics to transfer the graphs into time series data. …”
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Anthropometri dan Somatotaip Di Kalangan Atlet Karate
Published 2008“…Analisis data untuk kajian ini dilaksanakan dengan menggunakan perisian Computer Statistical Package for Social Science (SPSS) version 11.5 dan Microsoft Excel 2003. …”
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Developing The Prognostic Model Of Chronic Kidney Disease Progression And Elucidating The Global Prevalence Of Chronic Kidney Disease Depression Among Elderly
Published 2023“…The study consisted of a retrospective analysis of 470 CKD patients selected from the Hospital Universiti Sains Malaysia (USM) clinic and a cross-sectional evaluation of 300 patients from outpatient department clinics using the Beck Depression Inventory questionnaire to assess depression. Computational statistical modeling approaches were utilized to evaluate CKD patients' sociodemographic, metabolic, and diagnostic characteristics. …”
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The determination of regression relationships using stepwise regression techniques
Published 1973“…Stepwise regression routines are rapidly becoming a standard leature of large-scale computer statistical packages. They provide, in particular, a certain degree 01 flexibility in the selection of 'optimum' regression equations when one has available a large set of potential regressor variables. …”
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The development of a new prognostic logistic regression model: a case study on oral squamous cell carcinoma
Published 2023“…In this retrospective study, advanced computational statistical modeling techniques were used to evaluate data descriptions on three risk factors studies: sociodemographic, clinicopathological, and surgical margins features of OSCC patients. …”
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