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201 results for “model selection”
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Research ArticleOpen accessPhrase in the titleA Note on Model Selection in Mixture ExperimentsKadri Ulaş AkayIn mixture experiments, determination of the best model for modeling the mixture system is significant in both understanding and interpreting the system. For obtaining the best model in mixture experiments, different methods have been used. Most commonly used methods are the stepwise type methods. However, the models obtained with these methods are not always the best model depending on the … …Journal of Mathematics and Statistics, Vol. 3, Issue 3 · 30 Sep 2007 · 6,939 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleMODEL SELECTION VIA ROBUST VERSION OF R-SQUAREDShokrya SalehR-squared (R2) is a popular method for variable selection in linear regression models. R2 based on Least Squares (LS) regression minimizes the sum of the squared residuals; LS is sensitive to outlier observation. Alternative criterion based on M-estimators, which is less sensitive to outlying observation has been proposed. In this study explicit expression for such criterion is obtained when the … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 9 Oct 2014 · 7,460 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleLinear Regression Model Selection Based on Robust Bootstrapping TechniqueHassan S. Uraibi, Habshah Midi, Bashar A. Talib, Jabar H. YousifProblem statement: Bootstrap approach had introduced new advancement in modeling and model evaluation. It was a computer intensive method that can replace theoretical formulation with extensive use of computer. The Ordinary Least Squares (OLS) method often used to estimate the parameters of the regression models in the bootstrap procedure. Unfortunately, many statistics practitioners are not aware of the fact that … …American Journal of Applied Sciences, Vol. 6, Issue 6 · 30 Jun 2009 · 7,876 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFuzzy Parametric of Sample Selection Model Using Heckman Two-Step Estimation ModelsM. S. Lola, A. A. Kamil, M.T. Abu OsmanProblem statement: It is well known that, the standard approach to estimating a sample selection models shows an inconsistent estimation results if the distributional assumption are incorrect. Approach: An important progress in the last decade to develop an alternative to overcome the deficiency is through the used of semi-parametric method. However, the usage of semi-parametric approach still does not cover … …American Journal of Applied Sciences, Vol. 6, Issue 10 · 31 Oct 2009 · 6,764 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePredicting Antigenic Peptides Using a Multi-Level Transformer Model with Enhanced Feature SelectionAshwini S., Minu R. I., Jeevan KumarThis Antigenic Peptide (APs) prediction is one of the most important roles to improve vaccine design and interpret immune responses. This paper develops a Multi-Level Pooling-based Transformer model, which improves the accuracy and efficiency of predicting T-cell epitopes. The model utilizes peptide sequences from the Immune Epitope Database, employing a refined Kolaskar and Tongaonkar algorithm for feature extraction and a … …Journal of Computer Science, Vol. 21, Issue 7 · 17 Jul 2025 · 3,443 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleStakeholders Selection Model for Software Requirements ElicitationFares Anwar, Rozilawati RazaliRequirements elicitation is the most critical phase in software requirements engineering. The process is resource intensive, as it concerns with a lot of dedicated stakeholders gathering purposefully to present and stipulate software requirements. The extent of effectiveness of the process is greatly influenced by the suitability of the stakeholders in the process of gathering the requirements. Previous studies indicate that … …American Journal of Applied Sciences, Vol. 13, Issue 6 · 7 Jun 2016 · 8,017 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleESTIMATED AND ANALYSIS OF THE RELATIONSHIP BETWEEN THE ENDOGENOUS AND EXOGENOUS VARIABLES USING FUZZY SEMI-PARAMETRIC SAMPLE SELECTION MODELL. MuhamadSafiih, A. A. Kamil, M. T. Abu OsmanAn important progress within the last decade in the development of the selectivity model approach to overcome the inconsistent results if the distributional assumptions of the errors terms are made this problem is through the use of semi-parametric method. However, the uncertainties and ambiguities exist in the models, particularly the relationship between the endogenous and exogenous variables. A new framework … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 15 Jul 2014 · 6,786 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleNew Procedure to Improve the Order Selection of Autoregressive Time Series ModelAli Hussein Al-MarshadiProblem statement: We propose new approach could be used to guide the selection of the "true" order of autoregressive model for different sample size. Approach: We used simulation study to compare four model selection criteria with and without the help of the new approach. The comparison of the four model selection criteria was in terms of their percentage of number … …Journal of Mathematics and Statistics, Vol. 7, Issue 4 · 14 Sep 2011 · 7,259 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDevelopment of a Model, Selection and Evaluation of the Source Material for the Plant Breeding of Alfalfa Varieties with Increased Seed ProductivityGulmira Toktarovna Ualiyeva, Ualikhan Malgazhdarovich Sagalbekov, Marden Ersainovich Baidalin, Hristina YanchevaThe article presents the results of laboratory and field experiments on the source material of alfalfa in the conditions of Northern Kazakhstan. The purpose of the present research was to study and evaluate the selective value of alfalfa variety populations, as well as to isolate a new source material for creating alfalfa varieties with high seed yields. The experiments were … …OnLine Journal of Biological Sciences, Vol. 22, Issue 1 · 1 Apr 2022 · 5,701 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleUsing the Analytic Hierarchy Process to Establish a Tour Guide Selection and Evaluation ModelHan-Chen Huang, Su-Ling Wu, I-Ying Chang, Pei-Ling LiuThis study aims to examine the criteria for the selection of tour guides, in order to help travel agencies in Taiwan selecting suitable tour guides with a more objective and consistent approach. A tour guide is the life and soul of an organized tour, as well as an important key for the success of the tour. Following the acquisition of … …Journal of Social Sciences, Vol. 11, Issue 4 · 11 Nov 2015 · 7,379 accessesView PDFCite