Research ArticleOpen accessPhrase in the titleParameter Estimation and Determination of Sample Size in Logistic RegressionAdeleke Kazeem Adedayo, Dawud Adebayo AgunbiadeThe determination of Sample-Size is often an important step in planning a statistical study and it is usually a difficult task. Among the important hurdles to be surpassed, one must obtain an estimate of one or more error variances and specify an effective sample size of importance. The study was carried out to check for the estimation of parameter and … …Journal of Mathematics and Statistics, Vol. 8, Issue 4 · 4 Feb 2013 · 6,915 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAn Adjustable Sample Size Estimation Model for Usability AssessmentHaidar S. Jabbar, T.V. Gopal, Sattar J. AboudUsability assessment plays a fundamental role in discovering usability problems and the determination of the level of usability for a given software product. One crucial aspect in every usability assessment is the estimation of the sample size desired for a software product. Once we start estimating the sample size needed for a usability assessment, a baffling question comes in mind: … …American Journal of Applied Sciences, Vol. 4, Issue 8 · 31 Aug 2007 · 6,966 accessesView PDFCite
Research ArticleOpen accessPhrase in the titlePERFORMANCE OF RIDGE REGRESSION ESTIMATOR METHODS ON SMALL SAMPLE SIZE BY VARYING CORRELATION COEFFICIENTS: A SIMULATION STUDYAnwar Fitrianto, Lee Ceng YikWhen independent variables have high linear correlation in a multiple linear regression model, we can have wrong analysis. It happens if we do the multiple linear regression analysis based on common Ordinary Least Squares (OLS) method. In this situation, we are suggested to use ridge regression estimator. We conduct some simulation study to compare the performance of ridge regression estimator … …Journal of Mathematics and Statistics, Vol. 10, Issue 1 · 3 Jan 2014 · 8,540 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPrediction Intervals for Future Observations Based on Samples of Random SizesMohammad Z. Raqab, Haroon M. BarakatOn the basis of failure times of an informative sample (X-sample) of random size M of iid continuous random variables, we consider the prediction problem of failure times of another independent future sample (Y-sample) of random size N of iid variables from the same distribution. In this paper, we derive various exact prediction intervals for future failure times from the … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 2 Jan 2018 · 7,902 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAdaptive Superiority and Noninferiority Trial Design with Paired Binary DataMark Chang, Jing WangNon-inferiority of a diagnostic test to the standard is a common issue in medical research. For instance, we may be interested in determining if a new diagnostic test is noninferior to the standard reference test because the new test might be inexpensive to the extent that some small inferior margin in sensitivity or specificity may be acceptable. Noninferiority trials are … …Current Research in Biostatistics, Vol. 5, Issue 2 · 7 Sep 2015 · 8,236 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDesign Based on Intra-Class Correlation CoefficientsRobert Lew, Gheorghe DorosProblem statement: Reliability studies are concerned with the study of "consistency" or "repeatability" of measurements. Often times (but not always) the reliability coefficients are Intra-class Correlation Coefficients (ICC). Depending on the design or the conceptual intent of the study there are three types of intra-class correlation coefficients, termed intra-class correlation coefficients Case 1, 2 and 3, for measuring the reliability … …Current Research in Biostatistics, Vol. 1, Issue 1 · 30 Jun 2010 · 18,541 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBoosting Kernel Discriminative Common Vectors for Face RecognitionC. Lakshmi, M. PonnavaikkoProblem statement: Kernel discriminative common vector (KDCV) was one of the most effective non-linear techniques for feature extraction from high dimensional data including images and text data. Approach: This study presented a new algorithm called Boosting Kernel Discriminative Common Vector (BKDCV) to further improve the overall performance of KDCV by integrating the boosting and KDCV techniques. Results: In BKDCV, the … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 6,571 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTrial Design and Analysis with Incomplete Paired DataMark Chang, Jing WangFor a clinical trial design with paired data, it often involves missing observations. In such a case, the data from the trial become a mixture of paired and unpaired data. A commonly used approach for the analysis of the trial data is to ignore the incomplete pairs. Such a treatment of missing data is not statistically efficient. We propose a … …Current Research in Biostatistics, Vol. 5, Issue 2 · 12 Nov 2015 · 7,889 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