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

“…Such general characterisation for a given model is useful for the extremal behaviour of physical processes. …”
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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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3D reconstruction of building models based on 2D floorplans using statistical analysis by Gasiorowski, Pawel, Vassilev, Vassil

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

“…The SM has deep connections with parametric statistical models and the theory of phase transitions in statistical physics. …”
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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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Fast and accurate detection of Identical-By-Descent segment sharing in large genomic datasets by Saada, J

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

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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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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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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 underpinning theory is Theory of Planned Behavior (TPB). The independent variables are Attitude (A), Subjective Norm (SN) and Perceived Behavioral Control (PBC). …”
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A reformulation of additive models by Wozniakowski, Alex

“…Additive models and their fitting algorithms play a pivotal role in the history and development of applied mathematics, machine learning, statistics, and science. …”
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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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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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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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