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

“…It is important to make general statements that characterises time series extreme models over a range of sample sizes with varying degree of dependence. …”
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Statistical modeling reveals the effect of absolute humidity on dengue in Singapore by Xu, Hai-Yan, Fu, Xiuju, Lee, Lionel Kim Hock, Ma, Stefan, Goh, Kee Tai, Wong, Jiancheng, Habibullah, Mohamed Salahuddin, Lee, Gary Kee Khoon, Lim, Tian Kuay, Tambyah, Paul Anantharajah, Lim, Chin Leong, Ng, Lee Ching

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Generative Stochastic Modeling of Strongly Nonlinear Flows with Non-Gaussian Statistics by Arbabi, Hassan, Sapsis, Themistoklis

“…These systems are difficult to model and analyze due to combination of high dimensionality and uncertainty, and there has been much interest in obtaining reduced models, in the form of stochastic closures, that can replicate their non-Gaussian statistics in many dimensions. …”
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Statistical modeling of fully nonlinear hydrodynamic loads on offshore wind turbine monopile foundations using wave episodes and targeted CFD simulations through active sampling by Guth, Stephen, Katsidoniotaki, Eirini, Sapsis, Themistoklis P.

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Investigation of moisture content and higher heating value in refusederived fuel from agricultural residues using statistical modelling by Ny, Abd Halim, Noor Intan Shafinas, Muhammad

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Investigation of moisture content and higher heating value in refuse-derived fuel from agricultural residues using statistical modelling by Nuranis Yasira, Abd Halim, Noor Intan Shafinas, Muhammad

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Effects of statistical sampling errors on flood-damage-reduction project evaluation by Su, Hsin-Ting, Tung, Yeou-Koung

“…A Monte Carlo simulation is applied in the study to simulate the epistemic uncertainty associated with the sampling error of the flood magnitude. The model parameter uncertainty is explicitly considered in the estimation of statistical features of flood damage. …”
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Organizational Architecture Design and Assessment of Statistical Feasibility for NPM Implementation in an Airplane Subassembly by Daigle, Lea (Lea A.)

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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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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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Sample size estimation with missing values on clinical trials by Zhang, Mengyang

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Improvement of haemodynamic stent strut configuration for patent ductus arteriosus through computational modelling by Taib, Ishkrizat

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Hybrid nanofluid radiative flow across a permeable convective moving surface with heat generation: numerical and statistical approach by Wahid, Nur Syahirah, Mustafa, Mohd Shafie, Md Arifin, Norihan, Khashi’ie, Najiyah Safwa, Pop, Ioan

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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15.075 Applied Statistics, Spring 2003 by Newton, Elizabeth

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Hidden markov model for decision making among heterogeneous systems in intelligent building by Abba, Babakura

“…HMM is chosen due to the characteristics it possesses such as probabilistic, statistical, machine learning as well as its robustness and scalability has been seen as an efficient and effective model to tackle the problem of interoperation in the intelligent building. …”
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Topological data analysis for fake news detection by Deng, Ran

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Robust inference of memory structure for efficient quantum modeling of stochastic processes by Ho, Matthew, Gu, Mile, Elliott, Thomas J.

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Deriving the intial abstraction ratio coefficient for runoff prediction in Peninsula Malaysia by Lloyd Ling

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A Study on Deploying Large Language Models as Agents by Cao, Jiannan

“…The study begins with an in-depth analysis of language models, tracing their evolution from pure statistical models to advanced neural network architectures like Transformers and their bidirectional variants. …”
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