15.075 Applied Statistics, Spring 2003 by Newton, Elizabeth

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Statistics and Probability Theory : In Pursuit of Engineering Decision Support / by Faber, M. H. (Michael Havbro), author 656113

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Fast and accurate detection of Identical-By-Descent segment sharing in large genomic datasets by Saada, J

Universality for the largest eigenvalue of sample covariance matrices with general population by Bao, Zhigang, Pan, Guangming, Zhou, Wang

“…This paper is aimed at deriving the universality of the largest eigenvalue of a class of high-dimensional real or complex sample covariance matrices of the form WN = Σ 1 /2 XX* Σ 1/2. …”
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18.217 Graph Theory and Additive Combinatorics, Fall 2019 by Zhao, Yufei

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Macroeconomic and Firm-Specific Effects on Islamic Deposits Sustainability by Ab Rahman, Sazana, Ahmad, Nor Hayati, Che Arshad, Noraziah

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Combating China’s corruption through learning from Taobao’s business model. by Tan, Winifred Guan Xin., Soh, Rachel Mei Hui., Choo, Amelene Isabel.

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Inference for autoregressive and moving average models with extreme value distribution via simulation study by Samuel, Bako Sunday

“…Time series analysis has emerged as one of the most important statistical discipline and it has been applied in different fields over the years. …”
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Game theoretical, statistical and behavioural aspects of peer evaluation by Tan, Catherine Ser Ping

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Challenges and Solution of Online Learning and Assessment Amidst the COVID-19 Pandemic: A Case Study in Universiti Utara Malaysia (S/O 14793) by Mohd Nordin, Nur Rasyidah, Omar, Wafa, Mohd Ridzuan, Iliya Nurul Iman

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Refining learning models in grammatical inference by Wang, Xiangrui

“…Grammatical inference is a branch of computational learning theory that attacks the problem of learning grammatical models from string samples. …”
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Uncovering latent features in massive open online courses by Gillani, N

Questionnaire data analysis using information geometry by Har-Shemesh, Omri, Quax, Rick, Lansing, J. Stephen, Sloot, Peter M. A.

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MAS.622 / 1.126J Pattern Recognition & Analysis, Fall 2000 by Massachusetts Institute of Technology. Media Laboratory.

Subjects: “…machine and human learning…”
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Topics in Bayesian machine learning for finance by Spears, T

“…We show a relevant, modern case of incorporating machine learning model-derived view and uncertainty estimates, and the impact on portfolio allocation, with an example subsuming Arbitrage Pricing Theory. …”

Hermes: Boosting the Performance of Machine-Learning-Based Intrusion Detection System through Geometric Feature Learning by Zhang, Chaoyu, Shi, Shanghao, Wang, Ning, Xu, Xiangxiang, Li, Shaoyu, Zheng, Lizhong, Marchany, Randy, Gardner, Mark, Hou, Y. Thomas, Lou, Wenjing

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Factors Influencing Students Intention to Choose Career of Halal Food Industry in Malaysia using Theory of Planned Behavior by Abu Bakar, Nashirah, Rosbi, Sofian, Haji Hashim, Hydzulkifli, Che Arshad, Noraziah

“…The value of Cronbach’s alpha statistical test for measuring internal reliability is larger than 0.7 for all four variables. …”
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Exploratory Survey on UUM Student’s Acceptance Towards the Founding of Waqf Institution For Education by Omar, Hydzulkifli Hashim, Abu Bakar, Azizi, Basary, Noor Faezah, Shuib, Mohd Sollehudin, Yusuff, Noraini

“…All the data are analysed using software of Statistical Package for Social Science (SPSS) by conducting statistical method namely, Independent Samples T-test, Analysis of Variance (ANOVA), Pearson Corellation and Multiple Linear Regression analysis to achieve the objectives of this research. …”
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Adoption of ZakaTech in the Time of COVID-19: Cross-Country and Gender Differences by Nashwan, Saeed Awadh, Ismaiel, Abdelhamid Elsayed A., Muneeza, Aishath, Isa, Mohamad Yazid

“…Findings – By analyzing both Saudi and Egyptian samples, the authors found that all UTAUT constructs are statistically significant, except for effort expectancy in Egypt. …”
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Theoretical study of spermatozoa sorting by dielectrophoresis or magnetophoresis with supervised learning by Koh, James Boon Yong

“…By fitting the model to a tenth of the sample size required for statistical convergence, predicted results are precise and accurate to a handful of percentage points. …”
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