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20 results for “sample bias”

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Research ArticleOpen accessPhrase in the titleThe Finite-Sample Bias of the Autoregressive Parameter Under Rank-based EstimationSteven CookMonte Carlo simulation is employed to examine the finite-sample properties of the estimated autoregressive parameter associated with the Dickey-Fuller and rank-based Dickey-Fuller unit root tests. While the downward bias associated with estimator under the Dickey-Fuller test has long been noted in the literature, the corresponding properties for the rank-based test have not been considered previously. The results presented show that … …Journal of Mathematics and Statistics, Vol. 1, Issue 1 · 31 Mar 2005 · 6,239 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSample Selection Analysis of Wage Equation for Women In Ondo State NigeriaSola Olorunfemi, Olorunsola E. OlowofesoThe study analysis wage equation for women in Ondo State Nigeria, in other to identify the determinant factors of their wages. Data collected from 250 women heads of households through a multi-stage random system technique were analyzed. In order to deal with the zero wage problem associated with those who did not work, various single – equation models were applied. … …Journal of Social Sciences, Vol. 3, Issue 3 · 30 Sep 2007 · 7,557 accessesView PDFCite
Research ArticleOpen accessIn the abstractAbsolute Measures of Interindividual Variation: A Simulation StudyJosé Moral-de la RubiaFour absolute measures and one relative measure of interindividual variability have been defined, together with their point and interval estimation (bootstrap and asymptotic), and an R script has been developed for their computation. However, further simulation studies are required to strengthen their methodological evaluation. This study focused on the three absolute measures with potentially better regularity conditions, Mean Interindividual Differences … …Journal of Mathematics and Statistics, Vol. 22, Issue 1 · 4 Aug 2026 · 957 accessesView PDFCite
Review ArticleOpen accessIn the abstractGoats’ Litter Size Concerning Bone Morphogenetic Protein 15 Gene VariationsTebogo Letsukulo Percy Thepa, Thobela Louis Tyasi, Jones Ng’ambiBone morphogenetic protein 15 (BMP15), a member of the transforming growth factor-β (TGF-β) superfamily, plays essential roles in follicular development and ovulation. Single nucleotide polymorphisms (SNPs) in the BMP15 gene have been associated with litter size in multiple livestock species, yet no comprehensive systematic review has synthesized findings across goat breeds. This systematic review aimed to evaluate the association between … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 4 · 18 Feb 2026 · 1,405 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Analysis of TSH Levels between Patients with Normal Sinus Rhythm and those with Atrial FibrillationJi Yeon Chang, Jae Kyung Kim, Seung Hee HongAtrial Fibrillation (AF) is the most prevalent persistent cardiac arrhythmia observed within the general population and is associated with increased morbidity and mortality. Despite the rising global prevalence of AF, the majority of existing studies have primarily focused on white populations. For that reason, we have used a Korean hospital patient's blood test results to examine the link between AF … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 3 · 30 Jul 2024 · 4,476 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Analysis of Smote and CSSF Techniques for Diabetes Classification Using Imbalanced DataBashar Hamad Aubaidan, Rabiah Abdul Kadir, Mohamad Taha IjabDiabetes, a prevalent chronic metabolic disorder, poses a significant burden on healthcare systems worldwide. Accurate and timely diagnosis is crucial for effective management and complication prevention. Machine learning presents a promising solution but often faces challenges due to class imbalance within datasets, particularly the underrepresentation of diabetic cases. To address this issue, we introduce Cluster-based Synthetic Sample Filtering (CSSF), a … …Journal of Computer Science, Vol. 20, Issue 9 · 22 Jul 2024 · 4,998 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,755 accessesView PDFCite
Research ArticleOpen accessIn the abstractEquity Valuation with the Use of MultiplesStauropoulos Antonios, Samaras Ioannis, Arsenos PanagiotisProblem statement: Equity valuation with the use of multiples is widely used by academics and practitioners concerning its functionality. This study aims to explore the sensitivity of three multiples in terms of bias. Approach: The three multiples under consideration are the Price-To-Sales (P/S) multiple, the Price-To-Book value of equity (P/B) multiple and the Price-To-Earnings (P/E) multiple using both current and … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 5 Nov 2011 · 7,747 accessesView PDFCite
Research ArticleOpen accessIn the abstractDoes Predator Go for Size Selection or Preferential Toxic-Nontoxic Species Under Limited Resource?Joydeep Pal, S. Bhattacharya, J. ChattopadhyayProblem statement: Selectivity is common in predator-prey interaction but the selection mechanism is still unexplored and a debatable issue in modern theoretical and experimental ecology for numerous species across the globe. In present investigation we emphasized the hypothesis that the zooplankton is less inclined to opt the food based on size selectivity criteria than the preferential selectivity for the safe … …OnLine Journal of Biological Sciences, Vol. 10, Issue 1 · 30 Jun 2010 · 7,903 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstimation under Multicollinearity: A Comparative Approach Using Monte Carlo MethodsD. A. Agunbiade, J. O. IyaniwuraProblem statement: A comparative investigation was done experimentally for 6 different Estimation Techniques of a just-identified simultaneous three-equation econometric model with three multi-collinear exogenous variables. Approach: The aim is to explore in depth the effects of the problems of multicollinearity and examine the sensitivity of findings to increasing sample sizes and increasing number of replications using the mean and total … …Journal of Mathematics and Statistics, Vol. 6, Issue 2 · 30 Jun 2010 · 7,531 accessesView PDFCite