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

“…To achieve our objectives, a stationary autoregressive and moving average models with Gumbel distributed innovation is proposed and we characterise the short-term dependence among maxima, arising from light-tailed Gumbel distribution over a range of sample sizes with varying degrees of dependence. …”
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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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15.075 Applied Statistics, Spring 2003 by Newton, Elizabeth

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Multiscale approach to nematic liquid crystals via statistical field theory by Lu, Bing-Sui

“…We propose an approach to a multiscale problem in the theory of thermotropic uniaxial nematics based on the method of statistical field theory. This approach enables us to relate the coefficients A, B, C, L1, and L2 of the Landau-de Gennes free energy for the isotropic-nematic phase transition to the parameters of a molecular model of uniaxial nematics, which we take to be a lattice gas model of nematogenic molecules interacting via a short-ranged potential. …”
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Modeling and forecasting customer demands by See, Tian Pau.

“…In this paper, I have made an attempt to seek what statistical models and forecasting techniques which are appropriate to support decision making in the operational level of supply chain while dealing with customer demands on short life cycle products to avoid undesired production condition. …”
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Uncertainty quantification framework for combined statistical spatial downscaling and temporal disaggregation for climate change impact studies on hydrology by Rajendran Queen Suraajini

“…The Statistical Downscaling Model (SDM) is the bridging model which is used to downscale the output from the General Circulation Model (GCM) for increasing the spatial resolution of future climate scenarios. …”
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A Non‐Intrusive Machine Learning Framework for Debiasing Long‐Time Coarse Resolution Climate Simulations and Quantifying Rare Events Statistics by Barthel Sorensen, B., Charalampopoulos, A., Zhang, S., Harrop, B. E., Leung, L. R., Sapsis, T. P.

“…Previous efforts have attempted to train such operators using loss functions that match statistics. However, this approach falls short with events that have longer return period than that of the training data, since the reference statistics have not converged. …”
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Bayesian neural network language modeling for speech recognition by Xue, Boyang, Hu, Shoukang, Xu, Junhao, Geng, Mengzhe, Liu, Xunying, Meng, Helen

“…State-of-the-art neural network language models (NNLMs) represented by long short term memory recurrent neural networks (LSTM-RNNs) and Transformers are becoming highly complex. …”
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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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Topological data analysis for fake news detection by Deng, Ran

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Differentially private deep learning for time series data by Dwitami, Inggriany

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

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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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Measuring dynamical uncertainty with Revealed Dynamics Markov Models by Bramson, Aaron, Baland, Adrien, Iriki, Atsushi

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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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Environmental risk factors for self-harm during imprisonment: A pilot prospective cohort study by Stephenson, T, Harris, I, Armstrong, C, Fazel, S, Short, R, Blackwood, N

Environmental risk factors for self-harm during imprisonment: a prospective cohort study by Stephenson, T, Harris, I, Armstrong, C, Fazel, S, Short, R, Blackwood, N

Modelling and characterization of membrane fouling in osmotically-driven membrane processes (ODMPs) by Lai, Li

“…From qualitive analysis to quantitative analysis, the location of peak raised by colloidal deposition is used to differentiate the deposition on surface of active layer and inside of support layer after being analyzed by arrival time shift and confirmed by statistical testing. Moreover, the further short-time Fourier transformation (STFT) was applied to transfer the original time domain data into time-frequency domain, which reveal a noticeable magnitude reduction on high frequency components when Rayleigh scattering was triggered by particle inside of membrane pores. …”
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Forecasting of hydropower production using Box-Jenkins model at Tasik Kenyir, Terengganu by Nornabila, Abu, Nurul Nadrah Aqilah, Tukimat, Noratikah, Abu

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