Relevant bibliographies by topics / Distribution of the attribute value probability

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Distribution of the attribute value probability'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Distribution of the attribute value probability"

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Simanavičienė, Rūta, and Vaida Petraitytė. "Sensitivity Analysis of the TOPSIS Method in Respect of Initial Data Distributions." Lietuvos statistikos darbai 55, no. 1 (2016): 45–51. http://dx.doi.org/10.15388/ljs.2016.13866.

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The present article investigates the sensitivity of the multiple criteria decision-making method TOPSIS in respectof attribute probability distributions. To carry out research, initial data – attribute values – were generated according to anormal, log-normal, uniform, and beta distributions. Decision matrixes were constructed from the generated data. Byapplying the TOPSIS method to the matrixes generated, result samples were received. A statistical analysis was conductedfor the results obtained, which revealed that the distributions of the initial data comply with the distributions of the resu
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Khan, Muhammad Zahir, Muhammad Farid Khan, Muhammad Aslam, and Abdur Razzaque Mughal. "Design of Fuzzy Sampling Plan Using the Birnbaum-Saunders Distribution." Mathematics 7, no. 1 (2018): 9. http://dx.doi.org/10.3390/math7010009.

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Acceptance sampling is one of the essential areas of quality control. In a conventional environment, probability theory is used to study acceptance sampling plans. In some situations, it is not possible to apply conventional techniques due to vagueness in the values emerging from the complexities of processor measurement methods. There are two types of acceptance sampling plans: attribute and variable. One of the important elements in attribute acceptance sampling is the proportion of defective items. In some situations, this proportion is not a precise value, but vague. In this case, it is su
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Alenazi, Fahad S., Khalil El Hindi, and Basil AsSadhan. "Complement-Class Harmonized Naïve Bayes Classifier." Applied Sciences 13, no. 8 (2023): 4852. http://dx.doi.org/10.3390/app13084852.

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Naïve Bayes (NB) classification performance degrades if the conditional independence assumption is not satisfied or if the conditional probability estimate is not realistic due to the attributes of correlation and scarce data, respectively. Many works address these two problems, but few works tackle them simultaneously. Existing methods heuristically employ information theory or applied gradient optimization to enhance NB classification performance, however, to the best of our knowledge, the enhanced model generalization capability deteriorated especially on scant data. In this work, we propos
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Augustyn, D. R. "Query-condition-aware V-optimal histogram in range query selectivity estimation." Bulletin of the Polish Academy of Sciences Technical Sciences 62, no. 2 (2014): 287–303. http://dx.doi.org/10.2478/bpasts-2014-0029.

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Abstract Obtaining the optimal query execution plan requires a selectivity estimation. The selectivity value allows to predict the size of a query result. This lets choose the best method of query execution. There are many selectivity obtaining methods that are based on different types of estimators of attribute values distribution (commonly they are based on histograms). The adaptive method, proposed in this paper, uses either attribute values distribution or range query condition boundaries one. The new type of histogram - the Query-Conditional-Aware V-optimal one (QCA-V-optimal) - is propos
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Yan, Ying, and Bin Suo. "Decision-Making with Risk under Interval Uncertainty Based on Area Metrics." Mathematical Problems in Engineering 2022 (April 14, 2022): 1–10. http://dx.doi.org/10.1155/2022/2793538.

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From the perspective of D-S evidence theory and area measurement, a risk-based comprehensive decision-making method that considers both the expected utility and the uncertainty of the scheme is proposed under the interval uncertainty environment of attribute values. The upper and lower bounds of the synthetic probability distribution of attributes values in different natural states are constructed based on the belief measure and plausibility measure. Based on the area measurement, a method for calculating the expected utility of each scheme is proposed. To reflect the influence of the uncertai
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Yang, Yu, HongGuang Sun, and Zheng Xu. "A mixture transmuted generalized extreme value distribution: Definition and properties." EPJ Web of Conferences 332 (2025): 01003. https://doi.org/10.1051/epjconf/202533201003.

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Extreme events are often described using generalized extreme value models, which are crucial for quantifying their impact. In prior studies, researchers have utilized the quadratic rank transmutation map to construct a comprehensive family of probability distributions, incorporating an additional parameter to significantly improve the flexibility of distribution modeling. To gain a deeper understanding of the statistical characteristics and patterns of extreme events, mixture distributions have been applied, such as the mixture normal distribution and the mixture of Gumbel distribution, among
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Lin, Wei, Guangle Yan, and Yuwen Shi. "Dynamic Multi-Attribute Group Decision Making Model Based on Generalized Interval-Valued Trapezoidal Fuzzy Numbers." Cybernetics and Information Technologies 14, no. 4 (2015): 11–28. http://dx.doi.org/10.1515/cait-2014-0002.

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Abstract In this paper we investigate the dynamic multi-attribute group decision making problems, in which all the attribute values are provided by multiple decision makers at different periods. In order to increase the level of overall satisfaction for the final decision and deal with uncertainty, the attribute values are enhanced with generalized interval-valued trapezoidal fuzzy numbers to cope with the vagueness and indeterminacy. We first define the Dynamic Generalized Interval-valued Trapezoidal Fuzzy Numbers Weighted Geometric Aggregation (DGITFNWGA) operator and give an approach to det
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Maddulapalli, K., S. Azarm, and A. Boyars. "Interactive Product Design Selection With an Implicit Value Function." Journal of Mechanical Design 127, no. 3 (2005): 367–77. http://dx.doi.org/10.1115/1.1829727.

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We present a new method to aid a decision maker (DM) in selecting the “most preferred” from a set of design alternatives. The method is deterministic and assumes that the DM’s preferences reflect an implicit value function that is quasi-concave. The method is interactive, with the DM stating preferences in the form of attribute tradeoffs at a series of trial designs, each a specific design under consideration. The method is iterative and uses the gradient of the value function obtained from the preferences of the DM to eliminate lower value designs at each trial design. We present an approach
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Xing, Yin, Yang Chen, Saipeng Huang, Wei Xie, Peng Wang, and Yunfei Xiang. "Research on the Uncertainty of Landslide Susceptibility Prediction Using Various Data-Driven Models and Attribute Interval Division." Remote Sensing 15, no. 8 (2023): 2149. http://dx.doi.org/10.3390/rs15082149.

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Two significant uncertainties that are crucial for landslide susceptibility prediction modeling are attribute interval numbers (AIN) division of continuous landslide impact factors in frequency ratio analysis and various susceptibility prediction models. Five continuous landslide impact factor interval attribute classifications (4, 8, 12, 16, 20) and three data-driven models (deep belief networks (DBN), random forest (RF), and neural network (back propagation (BP)) were used for a total of fifteen different scenarios of landslide susceptibility prediction studies in order to investigate the ef
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Liu, Peide, Dongyang Wang, Hui Zhang, Liang Yan, Ying Li, and Lili Rong. "Multi-attribute decision-making method based on normal T-spherical fuzzy aggregation operator." Journal of Intelligent & Fuzzy Systems 40, no. 5 (2021): 9543–65. http://dx.doi.org/10.3233/jifs-202000.

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T-spherical fuzzy numbers (FNs), which add an abstinence degree based on membership and non-membership degrees, can express neutral information conveniently and have a considerable large range of information expression. The normal FNs (NFNs) are very available to characterize normal distribution phenomenon widely existing in social life. In this paper, we first define the normal T-SFNs (NT-SFNs) which can combine the advantages of T-SFNs and NFNs. Then, we define their operational laws, score value, and accuracy value. By considering the interrelationship among multi-input parameters, we propo
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Dissertations / Theses on the topic "Distribution of the attribute value probability"

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Shahriari, Shahriar. "The Frechet distribution as an alternative model of extreme value data." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26735.

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The Frechet distribution was applied to a set of earthquake data in order to test its validity as a practical alternative distribution for extreme value data. It was concluded that the Frechet distribution was the best model representing that data set. Also, a Poisson model of occurrence could not be rejected for that data set. The combination of these two models resulted in a closed form unconditional extreme value distribution which was developed analytically. The appropriate statistical tests and sensitivity analyses were performed on the obtained model.<br>Applied Science, Faculty of<br>Me
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Matsumoto, K., and A. Laurinčikas. "Joint value-distribution theorems on Lerch zeta-functions. II." Kluwer Academic Publishers-Consultants Bureau, 2006. http://hdl.handle.net/2237/20426.

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Nielsen, Mark A. "Parameter Estimation for the Two-Parameter Weibull Distribution." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2509.

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The Weibull distribution, an extreme value distribution, is frequently used to model survival, reliability, wind speed, and other data. One reason for this is its flexibility; it can mimic various distributions like the exponential or normal. The two-parameter Weibull has a shape (γ) and scale (β) parameter. Parameter estimation has been an ongoing search to find efficient, unbiased, and minimal variance estimators. Through data analysis and simulation studies, the following three methods of estimation will be discussed and compared: maximum likelihood estimation (MLE), method of moments estim
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Zhi, Tianchen. "Maximum Likelihood Estimation of Parameters in Exponential Power Distribution with Upper Record Values." FIU Digital Commons, 2017. http://digitalcommons.fiu.edu/etd/3211.

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The exponential power (EP) distribution is a very important distribution that was used by survival analysis and related with asymmetrical EP distribution. Many researchers have discussed statistical inference about the parameters in EP distribution using i.i.d random samples. However, sometimes available data might contain only record values, or it is more convenient for researchers to collect record values. We aim to resolve this problem. We estimated two parameters of the EP distribution by MLE using upper record values. According to simulation study, we used the Bias and MSE of the estimato
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Kim, Hyun Seok (John). "Diagnosing examinees' attributes-mastery using the Bayesian inference for binomial proportion: a new method for cognitive diagnostic assessment." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41144.

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Purpose of this study was to propose a simple and effective method for cognitive diagnosis assessment (CDA) without heavy computational demand using Bayesian inference for binomial proportion (BIBP). In real data studies, BIBP was applied to a test data using two different item designs: four and ten attributes. Also, the BIBP method was compared with DINA and LCDM in the diagnosis result using the same four-attribute data set. There were slight differences in the attribute mastery probability estimate among the three model (DINA, LCDM, BIBP), which could result in different attribute mastery p
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Brathwaite, Joy Danielle. "Value-informed space systems design and acquisition." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/43748.

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Investments in space systems are substantial, indivisible, and irreversible, characteristics that make them high-risk, especially when coupled with an uncertain demand environment. Traditional approaches to system design and acquisition, derived from a performance- or cost-centric mindset, incorporate little information about the spacecraft in relation to its environment and its value to its stakeholders. These traditional approaches, while appropriate in stable environments, are ill-suited for the current, distinctly uncertain and rapidly changing technical, and economic conditions; as such,
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Kilčiauskienė, Eglė. "Diskretus Oilerio sandaugų reikšmių pasiskirstymas kompleksinėje plokštumoje." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2011. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110802_165144-56022.

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Tegul s yra kompleksinis kintamasis. Oilerio sandaugos apibrėžiamos pagal pirminius p skaičius. Funkcija L(s) turi tenkinti hipotezes. Magistro darbe, įrodome diskrečią ribinę teoremą silpno tikimybinių matų konvergavimo prasme Oilerio sandaugoms kompleksinėje plokštumoje. Gauta mato išreikštinė forma.<br>Let s be a complex variable. The Euler products is defined by the prime number p. The Function L(s) satisfies some additional hypoteses. In Master work, we prove the discrete limit theorem in the sense of weakly convergent probability measures for the Euler products on the complex plane. Then
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Kilčiauskienė, Eglė. "Diskretus Oilerio sandaugų reikšmių pasiskirstymas kompleksinėje plokštumoje." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2012. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20120102_183855-14855.

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Tegul s=σ+it yra kompleksinis kintamasis. Oilerio sandaugos yra apibrėžiamos pagal pirminius skaičius, taip pat yra reikalaujama, kad funkcija L(s) tenkintų papidomas sąlygas. Mes įrodome diskrečią ribinę teoremą tikimybinių matų silpno konvergavimo prasme kompleksinėje plokštumoje C Oilerio sandaugoms.<br>Let s=σ+it be a complex variable. The Euler products L(s) is defined by the prime number. If the function L(s) satisfies some additional hypotheses. In the Master work we prove the discrete limit theorem in the sense of weakly convergent probability measures for the Euler products on the com
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Al, Hassan Ahmad. "Estimation des lois extremes multivariees." Paris 6, 1988. http://www.theses.fr/1988PA066014.

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Soit (x::(1),y::(1)). . . (x::(n),y::(n)) un echantillon du vecteur aleatoire extreme (x,y) i. I. D. Suivant l'un des modeles : logistique, gumbel, mixte, naturel. En reduisant les informations par des procedes nouveaux, on presente des resultats originaux sur le probleme d'estimation des parametres de liaison de (x,y) et en faisant des tests bases sur ces estimateurs. Finalement, on etablit quelques resultats sur le probleme d'estimation non parametrique d'une fonction de dependance
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Wang, Pu. "Modeling, analysis, and optimization for wireless networks in the presence of heavy tails." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50232.

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The heavy-tailed traffic from wireless users, caused by the emerging Internet and multimedia applications, induces extremely dynamic and variable network environment, which can fundamentally change the way in which wireless networks are conceived, designed, and operated. This thesis is concerned with modeling, analysis, and optimization of wireless networks in the presence of heavy tails. First, a novel traffic model is proposed, which captures the inherent relationship between the traffic dynamics and the joint effects of the mobility variability of network users and the spatial correlation i
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Books on the topic "Distribution of the attribute value probability"

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Escassut, Alain. Value distribution in p-adic analysis. World Scientific, 2016.

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Resnick, Sidney I. Extreme values, regular variation, andpoint processes. Springer-Verlag, 1987.

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Resnick, Sidney I. Extreme values, regular variation, and point processes. Springer-Verlag, 1987.

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Fayolle, Guy. Random Walks in the Quarter-Plane: Algebraic Methods, Boundary Value Problems and Applications. Springer Berlin Heidelberg, 1999.

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Taira, Kazuaki. Semigroups, Boundary Value Problems and Markov Processes. Springer Berlin Heidelberg, 2004.

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1967-, Thomas M., ed. Statistical analysis of extreme values: From insurance, finance, hydrology and other fields. Birkhäuser, 1997.

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1967-, Thomas M., ed. Statistical analysis of extreme values: From insurance, finance, hydrology, and other fields. 2nd ed. Birkhäuser Verlag, 2001.

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J, Hüsler, and Reiss R. -D, eds. Laws of small numbers: Extremes and rare events. 2nd ed. Birkhauser Verlag, 2004.

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J, Hüsler, and Reiss R. -D, eds. Laws of small numbers: Extremes and rare events. Birkhäuser Verlag, 1994.

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Bärbel, Finkenstädt, and Rootzén Holger, eds. Extreme values in finance, telecommunications, and the environment. Chapman & Hall/CRC, 2004.

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Book chapters on the topic "Distribution of the attribute value probability"

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Salinas Ruíz, Josafhat, Osval Antonio Montesinos López, Gabriela Hernández Ramírez, and Jose Crossa Hiriart. "Generalized Linear Mixed Models for Proportions and Percentages." In Generalized Linear Mixed Models with Applications in Agriculture and Biology. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32800-8_6.

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AbstractIn this chapter, we will review generalized linear mixed models (GLMMs) whose response can be either a proportion or a percentage. For proportion and percentage data, we refer to data whose expected value is between 0 and 1 or between 0 and 100. For the remainder of this book, we will refer to this type of data only in terms of proportion, knowing that it is possible to change it to a percentage scale only when multiplying it by 100. Proportions can be classified into two types: discrete and continuous. Discrete proportions arise when the unit of observation consists of N distinct enti
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Valleggi, Lorenzo, and Federico Mattia Stefanini. "On the utility of treating a vineyard against Plasmopara viticola: a Bayesian analysis." In Proceedings e report. Firenze University Press and Genova University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0106-3.41.

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Plasmopara viticola is the causal agent of the downy mildew, the most severe disease of grapevines. In order to prevent and/or mitigate the plant disease, fungicide treatments are often required, despite the presence of side effects on the environment and the potential hazard for human health in case of prolonged exposition. The choice of proper treatments and optimal scheduling is the key to managing downy mildew in an eco-friendly way. Plasmopara viticola’s growth depends on meteorological variables, like temperature and rain, plant’s genotype, the degree of exposition to oospores and soil c
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Lee, S. H., Byung Hak Choe, Young Pyo Kim, et al. "Probabilistic Assessment for Failure Probability of Pipe Lines by Extreme Value Distribution." In Materials Science Forum. Trans Tech Publications Ltd., 2005. http://dx.doi.org/10.4028/0-87849-966-0.229.

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Cheng, Jing, Ziyao He, Zhong Liu, and Lei Zhang. "Slope Reliability Analysis Based on Nonlinear Stochastic Finite Element Method." In Advances in Frontier Research on Engineering Structures. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8657-4_30.

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AbstractIn slope stability reliability analysis, the deterministic analysis method is usually used to calculate the safety factor to measure the stability of the slope, but the traditional deterministic analysis method cannot fully consider and describe the natural spatial variability of soil, which leads to the failure probability calculation of the slope is not accurate enough. Aiming at the problem of spatial variability of soil mechanical parameters in slope stability analysis, this paper proposes a stochastic finite element method for calculating the distribution of FS (factor of safety)
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Sun, Rui, Jinxia Xu, and Liang Zhang. "Rainstorm Waterlogging Simulation and Risk Assessment in Central Urban Area of Chengdu, China." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-8401-1_9.

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AbstractUrban rainstorm waterlogging disasters affect the sustainable urban development seriously. The distribution of waterlogging disaster risk is not only affected by rainstorm, but also closely related to urban terrain, population distribution and urban built environment. In this paper, based on the soil conservation service (SCS) runoff generation model and GIS tools, we selected Chengdu as the research area and proposed a simplified urban rainstorm waterlogging disaster model which can simulate the 3h waterlogging scenarios under the 10, 50, and100 year return periods of rainstorm. The p
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Гончарова, Аліна В’ячеславівна. "Глава 8. Договори між спадкоємцями щодо розподілу спадщини". У Серія «Процесуальні науки». Видавництво "Алерта", 2023. http://dx.doi.org/10.59835/978-617-566-765-1-3-8.

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The conclusion of contracts was known in ancient times and is still relevant today. Shares that are not distributed in kind can cause certain difficulties that force the interested parties to decide on distribution.Joint ownership of inherited property received from a family member necessitates joint decision-making on its maintenance, ownership, use, and disposal, and it is difficult to achieve such a consensus on all issues. Therefore, quite often a certain period may pass from the acquisition of the right to a share in the joint property to its distribution, but due to conflicts regarding t
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Goovaerts, Pierre. "Assessment of Spatial Uncertainty." In Geostatistics for Natural Resources Evaluation. Oxford University PressNew York, NY, 1997. http://dx.doi.org/10.1093/oso/9780195115383.003.0008.

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Abstract The multiGaussian and indicator-based algorithms introduced in Chapter 7 provide only models of local uncertainty in that each conditional cdf is specific to one single location. Most applications require a measure of the joint uncertainty about attribute values at several locations taken together, for example, the probability of occurrence of a string of large or small values. Such spatial uncertainty is modeled by generating multiple realizations of the joint distribution of attribute values in space, a process ltnown as stochastic simulation. Then, transfer functions, such as flow
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Yin Xi-Hong, Qiao Xiao-Dong, and Zhang Yun-Liang. "Multi-Strategy Term Similarity Relation Recognition Based on Fuzzy Comprehensive Evaluation." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2016. https://doi.org/10.3233/978-1-61499-619-4-129.

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Multiple strategies and fuzzy comprehensive evaluation were used to recognize term similarity relation types. First, a variety of similarity algorithms were used to calculate the term similarities, and then the relations and intervals were identified by continuous attribute discretization algorithm. The sample distribution probability was used to determine the membership degree of the interval to the relations, and the weight of elements were determined by particle swarm algorithm and cross validation method. Then, all the calculation results were combined using a fuzzy comprehensive evaluatio
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Adler, Matthew D. "Evaluating Risk-Regulation Policies." In Risk, Death, and Well-Being. Oxford University PressNew York, NY, 2025. https://doi.org/10.1093/9780197505984.003.0005.

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Abstract Lifetime utilitarianism ranks worlds according to the sum of individuals’ lifetime well-being; lifetime prioritarianism, according to the sum of individuals’ lifetime well-being plugged into a concave transformation function. This chapter demonstrates how the evaluation of fatality-risk-regulation policies can be grounded in lifetime utilitarianism and prioritarianism via the social-welfare-function (SWF) methodology. Each SWF has multiple “uncertainty modules”—formulas for ranking policies understood as probability distributions over outcomes. The chapter focuses on the best-justifie
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Margaritis, Dimitris, Christos Faloutsos, and Sebastian Thrun. "NetCube." In Database Technologies. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-058-5.ch120.

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We present a novel method for answering count queries from a large database approximately and quickly. Our method implements an approximate DataCube of the application domain, which can be used to answer any conjunctive count query that can be formed by the user. The DataCube is a conceptual device that in principle stores the number of matching records for all possible such queries. However, because its size and generation time are inherently exponential, our approach uses one or more Bayesian networks to implement it approximately. Bayesian networks are statistical graphical models that can
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Conference papers on the topic "Distribution of the attribute value probability"

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Zhu, Yuntao, and De-Cheng Feng. "A regional climate variable modified probabilistic natural carbonation prediction model for service bridges." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.0124.

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&lt;p&gt;Existing carbonation prediction model is not targeted at bridge structures which served in harsh environment, bringing a strong difficulty to make reasonable decision. For this purpose, this study is aimed to modify the existing natural carbonation model (NCP) with measured carbonation data. The overall kb follows Gaussian distribution and the mean value reaches 1.08. Based on the parametric study, the regression model conditioned on temperature and relative humidity is further developed. Finally, the proposed modification factor is applied in probabilistic analysis of corrosion initi
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Staehle, Roger W., and Zhi Fang. "Factors Affecting the Shape Parameter in the Weibull Distribution with Respect to Predicting Earliest Failures by SCC." In CORROSION 2002. NACE International, 2002. https://doi.org/10.5006/c2002-02418.

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Abstract The purpose of this discussion is to describe an approach to predicting the earliest failures by corrosion and to compare this with conventional approaches that are largely based on evaluating the mean value of data or on using only engineering judgment. The essence of the approach proposed here involves using a statistical framework typified by the Weibull distribution with its statistical parameters quantified with physical quantities from the seven principal variables that control corrosion: e.g. pH, potential, species, metal composition, metal structure, temperature, and stress. T
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Xue, D., S. Y. Cheing, and P. Gu. "Design for Project Change Management: Part 2 — Attribute Design." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57332.

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This research introduces a new systematic approach to identify the optimal design configuration and attributes to minimize the potential construction project changes. The second part of this paper focuses on the attribute design aspect. In this research, the potential changes of design attribute values are modeled by probability distribution functions. Attribute values of the design whose construction tasks are least sensitive to the changes of these attribute values are identified based upon Taguchi Method. In addition, estimation of the potential project change cost due to the potential desi
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Gkikas, Georgios. "Extreme Value Analysis - Statistical Inference Method for the Identification of Most Probable Extremes in Highly Nonlinear Systems. Case Study: Green Water Loads on FPSO." In ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/omae2024-133109.

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Abstract This work aims at deriving the most probable extreme response of highly nonlinear systems under random excitations based on a collection (ensemble) of small size samples by using order statistics in combination with non-parametric statistical inference methods (SIMs). The resulting scheme essentially consists of the r-largest Order Statistics (r-LOS) model and the (Delete-d) Jackknife or Bootstrap non-parametric, resampling methods. Using the r-LOS model when dealing with relatively small size samples, more information from the collected set of extremes per sample can be accrued as op
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Kanematsu, Wataru, Yukihiko Yamauchi, and Shoji Ito. "Effect of Machining Conditions on the Strength Distributions of Ground Ceramics." In ASME 1997 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/97-gt-320.

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The relationship between strength distribution or ground ceramics and machining condition was examined. The strength of ground silicon carbide ceramics at the failure probability of 1 percent, which is termed 1 % strength, was estimated as a function of the maximum grain depth of cut g, which is used as an index of grinding conditions. It is assumed that the fracture is governed by the competing failure mechanism between pre-existing flaws and machining cracks and that the Weibull modulus of machining cracks was independent of grinding condition. The deviation from estimated value is noticeabl
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Yin, Meijuan, Can Wang, Shunran Duan, Hao Yang, and Jialong Zhang. "Entity Attribute Alignment Method Based On Attribute Value Distribution." In ICCPR 2023: 2023 12th International Conference on Computing and Pattern Recognition. ACM, 2023. http://dx.doi.org/10.1145/3633637.3633639.

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Mikus, Oleg A., and Eric I. Tsvetkov. "Identification of the Probability Density Distribution of a Random Value." In 2021 XXIV International Conference on Soft Computing and Measurements (SCM). IEEE, 2021. http://dx.doi.org/10.1109/scm52931.2021.9507140.

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McSherry, D. "Attribute-value distribution as a strategy for increasing the efficiency of data mining." In IEE Two-day Colloquium on Knowledge Discovery and Data Mining. IEE, 1998. http://dx.doi.org/10.1049/ic:19980545.

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Ruoyu, Hu, Wang Xinyue, Wang Haiyan, and Xue Chengqi. "Cognitive Model for Probability Density Distribution Uncertainty Visualization." In Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe100933.

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Many scholars have conducted research on how to visually express the uncertainty contained in data, so how users recognize and understand these visualizations has become a problem that needs to be explored. This paper studies the user's perception of probability under the triangular distribution and verifies the effectiveness of visualization using lightness gradient. We found that the participant’s perception probability of a test point has a strong correlation with the true value of the probability density of that point.
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GAO, Ke-Li, Jia-Lun YANG, Kuan-jun ZHU, et al. "Impact on the Extreme Value of Ice Thickness of Conductors From Probability Distribution Models." In The 2015 International Conference on Mechanical Engineering and Control Systems (MECS2015). WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789814740616_0087.

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