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40 articles for “Sample selection”
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Research ArticleOpen accessIn the abstractModeling and Forecasting Volatility of the Malaysian Stock MarketsAhmed Shamiri, Zaidi IsaProblem statement: One of the main purposes of modeling variance is forecasting, which is crucial in many areas of finance. Despite the burgeoning interest in and evaluation of volatility forecasts, a clear consensus on witch volatility model/or distribution specification to use has not yet been reached. Therefore, the out of-sample forecasting ability should be a natural model selection criterion for … …Journal of Mathematics and Statistics, Vol. 5, Issue 3 · 30 Sep 2009 · 7,900 accessesView PDFCite
Research ArticleOpen accessIn the abstractSurveying on Wheat Farmers' Access and Confidence to Information and Communication Channels (ICCs) about Controlling Eurygaster integriceps in Hamedan Province-IranHeshmatollah Saadi, Karim Naderi Mahdei, Reza MovahediToday, Generation new and various information and knowledge sources need new information and communication channels. The better selection of information and communication channels (ICCs), the more effectiveness of extension programs in agriculture. Surveying on wheat farmers’ access to sources of information and communication channels as ICCs about controlling Eurygaster integriceps Puton in Hamedan province of Iran is primary purpose in … …American Journal of Agricultural and Biological Sciences, Vol. 3, Issue 2 · 30 Jun 2008 · 8,058 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Analysis of Quality of Work Life (QWL) and Career- Related VariablesArafat Al-Dhaqm, LooSee Beh, Jegak Uli, Khairuddin IdrisThe aim of this study was to determine the level and relationship between qualities of work life (QWL) with career-related variables. The sample consists of 475 executives from the electrical and electronics industry in the free trade zones in Malaysia for both the multinational corporations (MNCs) and the small-medium industries (SMIs). The selection of respondents using stratified random sampling technique … …American Journal of Applied Sciences, Vol. 3, Issue 12 · 31 Dec 2006 · 9,270 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordOptimizing Lentil Breeding Models for South-East Kazakhstan: Yield, Adaptability, and Protein EnhancementSaikenova Alma Zhumabaevna, Kudaibergenov Mukhtar Sarsenbekovich, Kanatkyzy Makpal et al.This study presents the development of a model for optimizing lentil breeding in the agroclimatic conditions of southeastern Kazakhstan. By evaluating 31 lentil varieties and hybrid populations (F1, F2, and F3), key economically valuable traits such as yield, protein content, drought resistance, and adaptability to mechanized harvesting were identified. A systematic selection process enabled the creation of lentil variety models … …OnLine Journal of Biological Sciences, Vol. 25, Issue 3 · 24 Sep 2025 · 3,201 accessesView PDFCite
Research NotesOpen accessAll words, across the recordAdvance in the Diagnostics of Mare Pregnancy and Assessing the Activity of Gonadotropin in Serum of in-Foal MareKaliya Kudaikulovna Yerkekulova, Nuradin Alibayev, Yusupzhan Artykovich Yuldashbayev et al.Research works on the improvement of mare pregnancy diagnostics and evaluation of biological activity of gonadotropic preparation based on the use of enzyme-linked immunosorbent assay were carried out. As the result of diagnostics and evaluation, effective producers as donors for obtaining gonadotropic preparation among the Kazakh population of mares with type “zhabe”, the animal units of 60 days with their … …OnLine Journal of Biological Sciences, Vol. 24, Issue 3 · 7 Mar 2024 · 4,828 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordCriteria Determining Optimal Portfolio Selection: A Case StudyDiakomihalis Mihail, Hyz Alina, Gikas GrigoriosThe paper examines the evaluation of the significance of the criteria that influence two groups of investors, who reside in different areas of Greece, in selecting their investments: (a) Investors from a metropolitan city (Athens) and (b) investors from regional Greece (Peloponnese). The study is grounded in the current and potential criteria and sub-criteria influencing investors in selecting financial investment … …American Journal of Economics and Business Administration, Vol. 5, Issue 4 · 13 Mar 2014 · 7,688 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordNelder-Mead Method with Local Selection Using Neighborhood and Memory for Stochastic OptimizationNoocharin Tippayawannakorn, Juta PichitlamkenWe consider the Nelder-Mead (NM) simplex algorithm for optimization of discrete-event stochastic simulation models. We propose new modifications of NM to reduce computational time and to improve quality of the estimated optimal solutions. Our means include utilizing past information of already seen solutions, expanding search space to their neighborhood and using adaptive sample sizes. We compare performance of these extensions … …Journal of Computer Science, Vol. 9, Issue 4 · 10 May 2013 · 6,121 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordModification on PPS Sample Scheme with ReplacementAyed R.A. Alanzi, Naser A. Alodat, Ahmad M. QazzaIn this paper we have developed an alternative estimator for the Probability Proportional to Size (PPS) with replacement sampling scheme when certain characteristics under study are positively correlated with the selection probability. An analogue to the well-known superpopulation model for finite population is also suggested, using which, we compare the proposed estimator with Hansen and Hurwitz estimator. Finally, an empirical … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 19 Jun 2019 · 7,188 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordANALYSIS OF BAYESIAN CLASSIFIER ACCURACYFelipe Schneider Costa, Maria Marlene De Souza Pires, Silvia Modesto NassarThe naïve Bayes classifier is considered one of the most effective classification algorithms today, competing with more modern and sophisticated classifiers. Despite being based on unrealistic (naïve) assumption that all variables are independent, given the output class, the classifier provides proper results. However, depending on the scenario utilized (network structure, number of samples or training cases, number of variables), the … …Journal of Computer Science, Vol. 9, Issue 11 · 26 Sep 2013 · 8,375 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordLinear 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