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

“…The purpose of the book is to ensure that the reader will acquire the required theoretical basis and technical skills such as to feel comfortable with the theory of basic statistics and probability. Moreover, in this book, as opposed to many standard books on the same subject, the perspective is to focus on the use of the theory for the purpose of engineering model building and decision making. …”
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Evaporation prediction of ethanol droplet by statistical rate theory by Mao, Wenjian

“…Statistical rate theory (SRT) was introduced to solve this problem. …”
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Dynamics of localized waves in one-dimensional random potentials : statistical theory of the coherent forward scattering peak by Lee, Kean Loon, Miniatura, Christian, Grémaud, Benoît

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

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3D reconstruction of building models based on 2D floorplans using statistical analysis by Gasiorowski, Pawel, Vassilev, Vassil

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Racial discrimination against prospective tenants : evidence from the room rental market in Singapore by Chew, Ilynn Mei Xian, Goh, Pei Ying, Ng, Wan Zhyi

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

Measuring magic on a quantum processor by Oliviero, Salvatore F. E., Leone, Lorenzo, Hamma, Alioscia, Lloyd, Seth

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The Use of Co-Worker Peer-Review as an Alternative Assessment in Leadership Courses to Evaluate Student’s Leadership Qualities (S/O 14756) by Abd Rahim, Nazahah, Ab Rahman, Faizahani

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The intransitive dice kernel: $$\frac{\mathbbm {1}_{x\ge y}-\mathbbm {1}_{x\le y}}{4} - \frac{3(x-y)(1+xy)}{8}$$ by Sah, Ashwin, Sawhney, Mehtaab

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The application of prospect theory in travel choice behavioral analysis by Hariharan Subramaniam.

“…The most widely used and accepted model for predicting and analysing of travel behaviour would be the Utility Theory. …”
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Derivation of extreme non-gaussian stochastic offshore structural responses using finite memory nonlinear system by Mukhlas, Nurul ’Azizah

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Forecasting Singapore’s pharmaceutical industry using time series models. by Lee, Kai Wee., Simandjuntak, Daniel Perdana., Zhuo, Yaohong.

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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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