499 results for “z-score”

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Research ArticleOpen accessEvery word in the titleFinancial Service of Wealth Management Banking: Balanced Scorecard ApproachCheng-Ru Wu, Chin-Tsai Lin, Pei-Hsuan TsaiProblem Statement: There are four main banking business sectors in Taiwan, involving the areas of consumer, corporate, wealth management, and investment banking. The wealth management banking sector is actively promoted for reaping a risk-free premium. In the proposed model, the dimensions of financial services for wealth management banks have been taken from four perspectives derived from balanced scorecard approach, viz. … …Journal of Social Sciences, Vol. 4, Issue 4 · 31 Dec 2008 · 8,454 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleNose Color of Charolais × British Crossbred Beef Steers Alters Body Weight at a Common Degree of Fatness and Marbling Score in Steers Reared Under Similar Management from Birth through FinishingZachary K. SmithThis study evaluated differences in nose color (Black or Pink) on carcass traits and mature body weight in Charolais × British crossbred beef steers. Steers (n = 180; 280±18.2 kg) were weaned and fed for 244 days until harvest. The hypothesis was that steers with black noses had Black Angus dams and that steers with pink noses had Red Angus … …American Journal of Animal and Veterinary Sciences, Vol. 15, Issue 4 · 7 Oct 2020 · 6,836 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleEvaluation on Score Reliability for Biometric Speaker Authentication SystemsDzati Athiar Ramli, Haryati Jaafar, Muhammad Hazim HasanProblem statement: Fusion weight tuning based on score reliability is imperative in order to ensure the performances of multibiometric systems are sustained. Approach: In this study, two variant of conditions i.e., different performances of individual subsystems and inconsistent quality of test samples are experimented to multibiometric systems. By applying multialgorithm scheme, two types of features extraction method i.e., Linear Predictive … …Journal of Computer Science, Vol. 8, Issue 9 · 16 Aug 2012 · 7,238 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleDevelopment and Early Score Validation of the Malaysian Educator’s Information Technology Attitude Scale (MEITAS)Wong Su LuanThe purpose of this study was to develop and provide initial validation evidence for an instrument to measure educators’ attitudes toward IT. Data were collected from 817 participants comprising both pre and in-service teachers in four phases. Two separate factor analyses were conducted for the pre-service teacher data and in-service teacher data. Principle component analysis, with varimax rotation, suggested three … …American Journal of Applied Sciences, Vol. 4, Issue 8 · 31 Aug 2007 · 7,204 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleEnsemble Divide and Conquer Approach to Solve the Rating Scores’ Deviation in Recommendation SystemIsmail Ahmed Al-Qasem Al-Hadi, Nurfadhlina Mohd Sharef, Md Nasir Sulaiman, Norwati MustaphaThe rating matrix of a personalized recommendation system contains a high percentage of unknown rating scores which lowers the quality of the prediction. Besides, during data streaming into memory, some rating scores are misplaced from its appropriate cell in the rating matrix which also decrease the quality of the prediction. The singular value decomposition algorithm predicts the unknown rating scores … …Journal of Computer Science, Vol. 12, Issue 6 · 25 Jun 2016 · 7,701 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleEXPOSURE TO “TEXTISMS” DOES NOT LOWER SPELLING SCORES FOR ELEMENTARY SCHOOL AGED CHILDRENHolly Anderson, Robert J.F. Elsner“Textisms” are semi-standardized abbreviations and conventions uses in SMS text messaging. Students in the fourth and fifth grades (N = 136) were exposed to words on a spelling list as correctly-spelled words, incorrectly-spelled words, or “textisms” to determine whether short term exposure to “textisms” decreased spelling performance for elementary aged children. Multivariate ANOVA found exposure type significantly impacted post-exposure spelling, … …Current Research in Psychology, Vol. 5, Issue 2 · 10 Dec 2014 · 7,254 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleGender, Stereotype Threat and Mathematics Test ScoresMing Tsui, Xiao Y. Xu, Edmond VenatorProblem statement: Stereotype threat has repeatedly been shown to depress women’s scores on difficult math tests. An attempt to replicate these findings in China found no support for the stereotype threat hypothesis. Our math test was characterized as being personally important for the student participants, an atypical condition in most stereotype threat laboratory research. Approach: To evaluate the effects of … …Journal of Social Sciences, Vol. 7, Issue 4 · 16 Aug 2011 · 8,815 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleResearch Note: Standard Scores Based on the Median and Inter-quartile RangeJames CarifioRecently when asked to help with statistical analyses of the Medicare Provider Analysis and Review (MEDPar) Data, I encountered a common statistical and analytical problem with this national database, which is also common to many national and health databases. This problem was the problem of extremely skewed distributions (g1 and/or g2 typically exceeding 20), which creates numerous difficulties in comparing … …Journal of Mathematics and Statistics, Vol. 2, Issue 1 · 31 Mar 2006 · 6,840 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsA Deep Learning Approach for Telugu Domain Identification with Multichannel LSTM-CNNBuddha Hari Kumar, Chitra Perumal, Inakoti Ramesh Raja et al.The vast growth of textual data has ushered into the limelight, a plethora of applications in information retrieval and natural language processing (NLP). Proper extraction of information from text is heavily dependent on recognizing the thematic content, which becomes crucial in the tasks of document summarization, information extraction, question answering, machine translation, and sentiment analysis. The great complexity of this … …Journal of Computer Science, Vol. 21, Issue 9 · 26 Nov 2025 · 2,395 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsPredicting Financial Statement Failure of Listed Firms in Market for Alternative Investment (mai) using Machine LearningPattanapong Kumsin, Salakjit Ninlaphay, Anupong SukprasertThe purpose of this research is to investigate the financial ratios of companies listed on the Market for Alternative Investment (mai) in Thailand, as well as the likelihood of these companies' financial statement failure. It also intends to create a financial statement failure predicting model for companies listed on the mai and assess the performance of various forecasting models using … …Journal of Computer Science, Vol. 21, Issue 9 · 24 Nov 2025 · 2,240 accessesView PDF Cite