Готові списки джерел за темами / K-statistics

Добірка наукової літератури з теми "K-statistics"

Автор: Grafiati

Опубліковано: 7 липня 2024

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Статті в журналах з теми "K-statistics":

Fu, Shishuo, Guo-Niu Han, and Zhicong Lin. "$k$-Arrangements, Statistics, and Patterns." SIAM Journal on Discrete Mathematics 34, no. 3 (January 2020): 1830–53. http://dx.doi.org/10.1137/20m1340538.

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Di Nardo, E., and D. Senato. "A symbolic method for k-statistics." Applied Mathematics Letters 19, no. 9 (September 2006): 968–75. http://dx.doi.org/10.1016/j.aml.2005.09.012.

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Warrens, Matthijs J. "Inequalities Between Kappa and Kappa-Like Statistics for k×k Tables." Psychometrika 75, no. 1 (September 23, 2009): 176–85. http://dx.doi.org/10.1007/s11336-009-9138-8.

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Yamamoto, Keiji, Atsuya Uno, Hitoshi Murai, Toshiyuki Tsukamoto, Fumiyoshi Shoji, Shuji Matsui, Ryuichi Sekizawa, et al. "The K computer Operations: Experiences and Statistics." Procedia Computer Science 29 (2014): 576–85. http://dx.doi.org/10.1016/j.procs.2014.05.052.

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Boos, Dennis D. "Comparing K Populations with Linear Rank Statistics." Journal of the American Statistical Association 81, no. 396 (December 1986): 1018. http://dx.doi.org/10.2307/2289077.

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McCullagh, Peter, and Daryl Pregibon. "$k$-Statistics and Dispersion Effects in Regression." Annals of Statistics 15, no. 1 (March 1987): 202–19. http://dx.doi.org/10.1214/aos/1176350261.

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Dutt, Vinayak, and James F. Greenleaf. "Ultrasound Echo Envelope Analysis Using a Homodyned K Distribution Signal Model." Ultrasonic Imaging 16, no. 4 (October 1994): 265–87. http://dx.doi.org/10.1177/016173469401600404.

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The statistics of ultrasound echo envelope signals can be used to characterize scattering media. The Rayleigh distribution and its generalized forms, the K and Rice distributions, have been previously used to model the echo signal. A more generalized statistical model, the homodyned K distribution, combines the K and Rice distribution features to better account for the statistics of the echo signal. We show that this model can give two parameters that are useful for media characterization: k, the ratio of coherent to diffuse signals, and, β, which characterizes the clustering of scatterers in the medium.

Speed, T. P. "Cumulants and partition lattices II: generalised k-statistics." Journal of the Australian Mathematical Society. Series A. Pure Mathematics and Statistics 40, no. 1 (February 1986): 34–53. http://dx.doi.org/10.1017/s1446788700026483.

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AbstractThe role played by the Möbius function of the lattice of all partitions of a set in the theory of k-statistics and their generalisations is pointer out and the main results conscerning these statistics are drived. The definitions and formulae for the expansion of products of generalished k-statistics are presented from this viewpoint and applied to arrays of random variables whos moments satisfy stitable symmentry constraints. Applications of the theory are given including the calculation of (joint) cumulants of k-statistics, the minimum variace estimation of (generalised) moments and the asymptotic behaviour of generalised k-statistics viewed as (reversed) martingales.

Kislitsyn, Alexey Alexeevich, and Yurii Nikolaevich Orlov. "The investigation of the k-NN graph statistics." Keldysh Institute Preprints, no. 85 (2021): 1–23. http://dx.doi.org/10.20948/prepr-2021-85.

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In this paper the investigation of the structure of k-NN graph is presented. The purpose of this analysis is to match the probability of implementation particular graph under assumption of a certain distribution of distances between vertices and depending on the number of vertices. Sample distributions of the graph by the number of disconnected fragments, fragments by the number of vertices, and vertices by the degrees of incoming edges are used as the main statistics. As an example, the problem of identifying the author of a text by the n-gram method is considered.

Yao, Suxia, Yu Miao, and Saralees Nadarajah. "Exponential convergence for the k-th order statistics." Filomat 29, no. 5 (2015): 977–84. http://dx.doi.org/10.2298/fil1505977y.

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Let X1,X2,...,Xn be the samples of an arbitrary population having a uniform distribution on the interval [0,1] and X1,n ? X2,n ?...? Xn,n denote the order statistics. The moderate deviations, large deviations and Cram?r large deviations for the k-th order statistics Xk,n are established. Furthermore, we also discuss the case that the samples come from the general distribution F.

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Дисертації з теми "K-statistics":

Li, Songzi. "K-groups: A Generalization of K-means by Energy Distance." Bowling Green State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1428583805.

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Angiuli, Olivia Marie. "The effect of quasi-identifier characteristics on statistical bias introduced by k-anonymization." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:14398529.

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The de-identification of publicly released datasets that contain personal information is necessary to preserve personal privacy. One such de-identification algorithm, k-anonymization, reduces the risk of the re-identification of such datasets by requiring that each combination of information-revealing traits be represented by at least k different records in the dataset. However, this requirement may skew the resulting dataset by preferentially deleting records that contain more rare information-revealing traits. This paper investigates the amount of bias and loss of utility introduced into an online education dataset by the k-anonymization process, as well as suggesting future directions that may decrease the amount of bias introduced during de-identification procedures.

Fisher, Julia Marie. "Classification Analytics in Functional Neuroimaging: Calibrating Signal Detection Parameters." Thesis, The University of Arizona, 2015. http://hdl.handle.net/10150/594646.

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Classification analyses are a promising way to localize signal, especially scattered signal, in functional magnetic resonance imaging data. However, there is not yet a consensus on the most effective analysis pathway. We explore the efficacy of k-Nearest Neighbors classifiers on simulated functional magnetic resonance imaging data. We utilize a novel construction of the classification data. Additionally, we vary the spatial distribution of signal, the design matrix of the linear model used to construct the classification data, and the feature set available to the classifier. Results indicate that the k-Nearest Neighbors classifier is not sufficient under the current paradigm to adequately classify neural data and localize signal. Further exploration of the data using k-means clustering indicates that this is likely due in part to the amount of noise present in each data point. Suggestions are made for further research.

Dey, Rajarshi. "Inference for the K-sample problem based on precedence probabilities." Diss., Kansas State University, 2011. http://hdl.handle.net/2097/12000.

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Doctor of Philosophy
Department of Statistics
Paul I. Nelson
Rank based inference using independent random samples to compare K>1 continuous distributions, called the K-sample problem, based on precedence probabilities is developed and explored. There are many parametric and nonparametric approaches, most dealing with hypothesis testing, to this important, classical problem. Most existing tests are designed to detect differences among the location parameters of different distributions. Best known and most widely used of these is the F- test, which assumes normality. A comparable nonparametric test was developed by Kruskal and Wallis (1952). When dealing with location-scale families of distributions, both of these tests can perform poorly if the differences among the distributions are among their scale parameters and not in their location parameters. Overall, existing tests are not effective in detecting changes in both location and scale. In this dissertation, I propose a new class of rank-based, asymptotically distribution- free tests that are effective in detecting changes in both location and scale based on precedence probabilities. Let X_{i} be a random variable with distribution function F_{i} ; Also, let _pi_ be the set of all permutations of the numbers (1,2,...,K) . Then P(X_{i_{1}}<...

Bsharat, Rebhi S. "Evaluation of [subscript n]C[subscript k] estimators." Diss., Manhattan, Kan. : Kansas State University, 2007. http://hdl.handle.net/2097/410.

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Gong, Rongsheng. "A Segmentation and Re-balancing Approach for Classification of Imbalanced Data." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1296594422.

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Sutula, Glenn Eric. "Developing a Framework for the Purposes of Locating Undiscovered Hydrogeologic Windows." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1462458460.

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Tolos, Siti. "Nonparametric tests to detect relationship between variables in the presence of heteroscedastic treatment effects." Diss., Kansas State University, 2010. http://hdl.handle.net/2097/6760.

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Doctor of Philosophy
Department of Statistics
Haiyan Wang
Statistical tools to detect nonlinear relationship between variables are commonly needed in various practices. The first part of the dissertation presents a test of independence between a response variable, either discrete or continuous, and a continuous covariate after adjusting for heteroscedastic treatment effects. The method first involves augmenting each pair of the data for all treatments with a fixed number of nearest neighbors as pseudo-replicates. A test statistic is then constructed by taking the difference of two quadratic forms. Using such differences eliminate the need to estimate any nonlinear regression function, reducing the computational time. Although using a fixed number of nearest neighbors poses significant difficulty in the inference compared to when the number of nearest neighbors goes to infinity, the parametric standardizing rate is obtained for the asymptotic distribution of the proposed test statistics. Numerical studies show that the new test procedure maintains the intended type I error rate and has robust power to detect nonlinear dependency in the presence of outliers. The second part of the dissertation discusses the theory and numerical studies for testing the nonparametric effects of no covariate-treatment interaction and no main covariate based on the decomposition of the conditional mean of regression function that is potentially nonlinear. A similar test was discussed in Wang and Akritas (2006) for the effects defined through the decomposition of the conditional distribution function, but with the number of pseudo-replicates going to infinity. Consequently, their test statistics have slow convergence rates and computational speeds. Both test limitations are overcome using new model and tests. The last part of the dissertation develops theory and numerical studies to test for no covariate-treatment interaction, no simple covariate and no main covariate effects for cases when the number of factor levels and the number of covariate values are large.

Ge, Wentao. "Bootstrap-adjusted Quasi-likelihood Information Criteria for Mixed Model Selection." Bowling Green State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu156207676645628.

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Hezel, Claudia Regina. "Avaliação das pressões em silos verticais conforme diferentes normas internacionais." Universidade Estadual do Oeste do Parana, 2007. http://tede.unioeste.br:8080/tede/handle/tede/213.

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Made available in DSpace on 2017-05-12T14:47:11Z (GMT). No. of bitstreams: 1 Claudia Regina Hezel.pdf: 2628130 bytes, checksum: f776400a56686d4085b790f2d9436120 (MD5) Previous issue date: 2007-07-16
In engineering it is always looked to construct resistant structures, safe and economically viable. The safe and economic project of the structures is function of the imposed actions; in the case of silos it does not have a Brazilian norm that it prescribes on its projects and action, moreover, some divergences are observed between the foreign norms. This main work as objective the comparative analysis of the lapsings of the international norms: ENV (1995), the 3774 (1996), ACI 313 (1991), DIN 1055 (1987) and BMHB (1985), becoming an analysis statistics between them, being elaborated an electronic spread sheet of calculation of the pressures, being able itself to vary the properties, to facilitate to the analysis and the development of an theoretician-experimental study. It still has as purpose to present a theoretical study of the pressures in vertical silos, for this, a state of the art of the theories of pressures proposals for the most important researchers was developed and finally the modeling of a silo to be analyzed through Ansys® software. The comparative analysis statistics of the main foreign norms showed the existence of sufficiently significant differences between the gotten values, being that in the case of the horizontal pressures it has differences of up to 59% (between norm BMHB and DIN) and that in the average the lesser values are gotten in the British and the greaters in the German. It was still verified that the majority of the foreign norms adopts the theory of Janssen for the determination of the horizontal pressures. In relation to the vertical pressures, the difference between the norms arrived 400% almost (between norms ENV and), in average the lesser values is gotten in the European norm and the greaters in the Australian, were still observed that the model of Janssen, without no alteration are considered by norm ACI. E in the case of the pressures of attrition with the wall the lesser values are gotten in norm BMHB and the greaters in the DIN, having arrived themselves it 59% differences (between norm BMHB and DIN). In relation to the use of the Ansys® program an initial plan of modeling of a silo was sketched, observing itself that the program and the methodology are useful, being able itself to make a refinement, to compare the results and to vary the in agreement pressure the diverse existing norms, being able to be developed in a future work, becoming a comparative degree between practical theoretician and with silo use archetype and cells of pressure.
Na engenharia, procura-se sempre construir estruturas resistentes, seguras e economicamente viáveis. O projeto seguro e econômico das estruturas é função das ações impostas; no caso de silos, não há uma norma brasileira que prescreva sobre seus projetos e ações, além disso, algumas divergências são observadas entre as normas estrangeiras. Este trabalho tem como objetivo principal a análise comparativa das prescrições das normas internacionais: ENV (1995), AS 3774 (1996), ACI 313 (1991), DIN 1055 (1987) e BMHB (1985), fazendo-se uma análise estatística entre elas, sendo elaborada uma planilha eletrônica de cálculo das pressões, podendo-se variar as propriedades, facilitar a análise e o desenvolvimento de um estudo teórico-experimental. Tem ainda como finalidade apresentar um estudo teórico das pressões em silos verticais, para isso, um estado da arte das teorias de pressões propostas pelos mais importantes pesquisadores foi desenvolvido e por último a modelagem de um silo para ser analisado através do software Ansys®. A análise comparativa estatística das principais normas estrangeiras mostrou a existência de diferenças bastante significativas entre os valores obtidos, sendo que no caso das pressões horizontais há diferenças de até 59% (entre norma BMHB e DIN) e que na média os menores valores são obtidos na Britânica e os maiores na Alemã. Verificou-se ainda que a maioria das normas estrangeiras adota a teoria de Janssen para a determinação das pressões horizontais. Em relação às pressões verticais, a diferença entre as normas chegou a quase 400% (entre normas ENV e AS), em média os menores valores são obtidos na norma Européia e os maiores na Australiana, observou-se ainda que o modelo de Janssen, sem nenhuma alteração é proposto pela norma ACI. E no caso das pressões de atrito com a parede os menores valores são obtidos na norma BMHB e os maiores na DIN, chegando-se a diferenças de 59% (entre norma BMHB e DIN). Em relação ao uso do programa Ansys® esboçou-se um plano inicial de modelagem de um silo, observando-se que o programa e a metodologia são úteis, podendo-se fazer um refinamento, comparar os resultados e variar a pressão conforme as diversas normas existentes, podendo ser desenvolvido em um trabalho futuro, fazendo-se um comparativo entre teórico e prático com uso de silo protótipo e células de pressão.

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Книги з теми "K-statistics":

Rosenfeld, Robert. Statistics for K-8 educators. New York: Routledge, 2012.

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Rosenfeld, Robert. Statistics for K-8 educators. New York: Routledge, 2012.

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Jain, Pramod Kumar. J & K votes: A statistical report on the general election to the J & K Assembly, 2002. Jammu: Election Dept., Govt. of Jammu & Kashmir, 2002.

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Manoukian, Edward B. Mathematical nonparametric statistics. New York: Gordon and Breach Science Publishers, 1986.

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A, Franklin Christine, ed. Guidelines for assessment and instruction in statistics education (GAISE) report: A pre-K--12 curriculum framework. Alexandria, VA: American Statistical Association, 2007.

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Hildebrand, Patricia J. Solutions manual to accompany Statistical thinking for managers. 3rd ed. [by] David K. Hildebrand, Lyman Ott. Boston, Mass: PWS-Kent Pub. Co., 1991.

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T, Ariaratnam S., Schuëller Gerhart I, Elishakoff Isaac, and Lin Y. K. 1923-, eds. Stochastic structural dynamics: Progress in theory and applications. London: Elsevier Applied Science, 1988.

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Ri͡a︡zanskiĭ oblastnoĭ komitet gosudarstvennoĭ statistiki., ed. Statisticheskiĭ sbornik: K 900-letii͡u︡ Ri͡a︡zni. Ri͡a︡zanʹ: Ri͡a︡zanskiĭ oblastnoĭ komitet gosudarstvennoĭ statistiki, 1995.

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A, Ilʹin V. Vologodskai︠a︡ oblastʹ: Dvizhenie k rynku. Vologda: Vologodskiĭ nauchnyĭ koordinai︠s︡ionnyĭ t︠s︡entar RAN, 1995.

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Washington (State). Legislature. Legislative Budget Committee., ed. K-12 staff mix factor accuracy. Olympia, WA (PO Box 40910, Olympia 98504-0910): The Committee, 1992.

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Частини книг з теми "K-statistics":

Mendonça, Sandra, Dinis Pestana, and M. Ivette Gomes. "Randomly Stopped $${\varvec{k}}$$ k th Order Statistics." In Springer Proceedings in Mathematics & Statistics, 249–66. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18029-8_19.

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Pérez, Teresa, and Julio Angel Pardo. "K Ø Divergence Statistics in Multinomial Populations." In Soft Methodology and Random Information Systems, 323–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-44465-7_39.

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Cyvin, S. J., and I. Gutman. "Distribution of K, and Kekulé Structure Statistics." In Lecture Notes in Chemistry, 314–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-662-00892-8_18.

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Deheuvels, Paul. "Strong Laws for the k-th Order Statistic when k ≤ c log2n (II)." In Lecture Notes in Statistics, 21–35. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3634-4_3.

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Clarke, Bertrand, and Subhashis Ghosal. "J. K. Ghosh’s contribution to statistics: A brief outline." In Institute of Mathematical Statistics Collections, 1–18. Beachwood, Ohio, USA: Institute of Mathematical Statistics, 2008. http://dx.doi.org/10.1214/074921708000000011.

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Flores, Miguel, Salvador Naya, Javier Tarrío-Saavedra, and Rubén Fernández-Casal. "Functional data analysis approach of Mandel’s h and k statistics in Interlaboratory Studies." In Contributions to Statistics, 123–30. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55846-2_16.

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Kriksciuniene, Dalia, Virgilijus Sakalauskas, Ivana Ognjanović, and Ramo Šendelj. "Discovering Healthcare Data Patterns by Artificial Intelligence Methods." In Intelligent Systems for Sustainable Person-Centered Healthcare, 185–210. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-79353-1_10.

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AbstractThe variety of the artificial intelligence and machine learning methods are applied for data analysis in various areas, including the data-rich healthcare domain. However, aiming to improve health care efficiency and use the captured information to improve treatment methods is often hampered by poor quality of medical data collections, as high percent of health data are unstructured and preserved in different systems and formats. In addition, it is not always agreed which methods of artificial intelligence and machine learning perform better in different problem areas, and which computer tools could make their application more convenient and flexible. The chapter provides essential characteristics of methods, traditionally applied in statistics, such as regression analysis, as well as their advanced modifications of logit, probit models, K-means, and Neural networks. The performance of the methods, their analytical power and relevance to the healthcare application domain is illustrated by brief experimental computations for investigation of stroke patient database with the help of several readily available software tools, such as MS Excel, Statistica, Matlab, Google BigQuery ML.

Politis, Dimitris, and Joseph Romano. "K-sample Subsampling." In Contributions to Statistics, 247–53. Heidelberg: Physica-Verlag HD, 2008. http://dx.doi.org/10.1007/978-3-7908-2062-1_38.

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Bickle, Allan. "k-Paths of k-Trees." In Springer Proceedings in Mathematics & Statistics, 287–91. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05375-7_21.

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Moraga, Paula. "The K-function." In Spatial Statistics for Data Science, 237–42. Boca Raton: Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781032641522-22.

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Тези доповідей конференцій з теми "K-statistics":

Dahlgaard, Soren, Mathias Baek Tejs Knudsen, Eva Rotenberg, and Mikkel Thorup. "Hashing for Statistics over K-Partitions." In 2015 IEEE 56th Annual Symposium on Foundations of Computer Science (FOCS). IEEE, 2015. http://dx.doi.org/10.1109/focs.2015.83.

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Ma, Di, Meng Joo Er, Bang Wang, and Hock Beng Lim. "K-hop statistics in wireless sensor networks." In 2009 International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). IEEE, 2009. http://dx.doi.org/10.1109/issnip.2009.5416802.

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Sune, Jordi, Ermest Y. Wu, and S. Tous. "High-K dielectric stack percolation breakdown statistics." In 2010 10th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT). IEEE, 2010. http://dx.doi.org/10.1109/icsict.2010.5667444.

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Xiao, Kun, Yi Zhang, and Xiansong Lu. "Equivalent fading statistics in the K fading channels." In 2013 22nd Wireless and Optical Communication Conference (WOCC 2013). IEEE, 2013. http://dx.doi.org/10.1109/wocc.2013.6676370.

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Carey, Nicholas, Tamas Budavari, Yanif Ahmad, and Alexander Szalay. "DOT-K: A distributed online top-K elements algorithm using extreme value statistics." In 2016 IEEE 12th International Conference on e-Science (e-Science). IEEE, 2016. http://dx.doi.org/10.1109/escience.2016.7870893.

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Yujing Lin and Barry L. Nelson. "Simulation analytics for virtual statistics via k nearest neighbors." In 2016 Winter Simulation Conference (WSC). IEEE, 2016. http://dx.doi.org/10.1109/wsc.2016.7822111.

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Peck, Roxy, Gary Kader, and Christine Franklin. "Shaping K-12 statistics education in the United States." In Joint ICMI/IASE Study: Teaching Statistics in School Mathematics. International Association for Statistical Education, 2008. http://dx.doi.org/10.52041/srap.08510.

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In recent years, three key documents have been influential in focusing attention on statistics and data analysis in the Pre-K-12 mathematics curriculum in the United States. We examine how these three documents come together with a collective potential to shape the future direction of Pre-K-12 statistics education, and we describe the specific contributions made by the document Guidelines for Assessment and Instruction in Statistics Education (GAISE) Report: A Pre-K-12 Curriculum Framework.

Sher, A. "New, high statistics measurement of the K+ → π0e+v (K[sub e3][sup +]) branching ratio". У INTERSECTIONS OF PARTICLE AND NUCLEAR PHYSICS: 8th Conference CIPANP2003. AIP, 2004. http://dx.doi.org/10.1063/1.1664262.

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Zengguo Sun, Chongzhao Han, and Xianghui Yuan. "Parameter estimation of K distribution based on second-kind statistics." In 2010 13th International Conference on Information Fusion (FUSION 2010). IEEE, 2010. http://dx.doi.org/10.1109/icif.2010.5711946.

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Wu, Runxiu. "Improved K-Modes Clustering Method Based on Chi-square Statistics." In 2010 IEEE International Conference on Granular Computing (GrC-2010). IEEE, 2010. http://dx.doi.org/10.1109/grc.2010.66.

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Звіти організацій з теми "K-statistics":

Thompson, David C., Janine C. Bennett, and Philippe Pierre Pebay. Scalable k-means statistics with Titan. Office of Scientific and Technical Information (OSTI), November 2009. http://dx.doi.org/10.2172/993924.

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Schutt, Timothy, and Manoj Shukla. Predicting the impact of aqueous ions on fate and transport of munition compounds. Engineer Research and Development Center (U.S.), August 2021. http://dx.doi.org/10.21079/11681/41481.

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A model framework for natural water has been developed using computational chemistry techniques to elucidate the interactions between solvated munition compounds and eight common ions in naturally occurring water sources. The interaction energies, residence times, coordination statistics, and surface preferences of nine munition related compounds with each ion were evaluated. The propensity of these interactions to increase degradation of the munition compound was predicted using accelerated replica QM/MM simulations. The degradation prediction data qualitatively align with previous quantum mechanical studies. The results suggest that primary ions of interest for fate and transport modeling of munition compounds in natural waters may follow the relative importance of SO₄²⁻, Cl⁻ ≫ HCO₃⁻, Na⁺, Mg²⁺ > Ca²⁺, K⁺, and NH₄⁺.

Anderson, Andrew, and Mark Yacucci. Inventory and Statistical Characterization of Inorganic Soil Constituents in Illinois: Appendices. Illinois Center for Transportation, June 2021. http://dx.doi.org/10.36501/0197-9191/21-007.

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This report presents detailed histograms of data from the Regulated Substances Library (RSL) developed by the Illinois Department of Transportation (IDOT). RSL data are provided for state and IDOT region, IDOT district, and county spatial subsets to examine the spatial variability and its relationship to thresholds defining natural background concentrations. The RSL is comprised of surficial soil chemistry data obtained from rights-of-way (ROW) subsurface soil sampling conducted for routine preliminary site investigations. A selection of 22 inorganic soil analytes are examined in this report: Al, Sb, As, Ba, Be, Cd, Ca, Cr, Co, Cu, Fe, Pb, Mg, Mn, Hg, Ni, K, Se, Na, Tl, V, and Zn. RSL database summary statistics, mean, median, minimum, maximum, 5th percentile, and 95th percentile, are determined for Illinois counties and for recognized environmental concern, non-recognized environmental concern, and de minimis site contamination classifications.

Anderson, Andrew, and Mark Yacucci. Inventory and Statistical Characterization of Inorganic Soil Constituents in Illinois. Illinois Center for Transportation, June 2021. http://dx.doi.org/10.36501/0197-9191/21-006.

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This report presents a statistical analysis of the Regulated Substances Library (RSL) developed by the Illinois Department of Transportation. The RSL is comprised of surficial soil chemistry data obtained from rights-of-way subsurface soil sampling conducted for routine preliminary site investigations. The 3.7-million-record RSL database is compared with four independent studies of inorganic soil constituents of naturally occurring soils in Illinois. A selection of 22 inorganic soil analytes are examined in this study: Al, Sb, As, Ba, Be, Cd, Ca, Cr, Co, Cu, Fe, Pb, Mg, Mn, Hg, Ni, K, Se, Na, Tl, V, and Zn. RSL database summary statistics, mean, median, minimum, maximum, 5th percentile, and 95th percentile, are determined for Illinois counties and for recognized environmental concern, non-recognized environmental concern, and de minimis site contamination classifications. The RSL database at a 95% confidence level is compared with current and proposed thresholds for defining naturally occurring soil concentrations for the selected analytes. The revised thresholds proposed by Cahill in 2017 are predominantly larger than the current standards found in the Tiered Approach to Corrective Action Objectives rules and are in better agreement with observed distributions of soil concentrations for both naturally occurring and RSL soils. A notable exception is antimony (Sb), for which Cahill proposed a reduced threshold similar in magnitude to the median for many Illinois Department of Transportation districts.

Welsh, T. L. Statistical analysis of the K West fuel element visual examination results. Office of Scientific and Technical Information (OSTI), March 1998. http://dx.doi.org/10.2172/362406.

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Trimble, D. J. Statistical analysis of oxidation rates for K Basin fuel in dry air. Office of Scientific and Technical Information (OSTI), February 1998. http://dx.doi.org/10.2172/362568.

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Welsh, T. L. Statistical evaluation of the data obtained from the K East Basin Sandfilter Backwash Pit samples. Office of Scientific and Technical Information (OSTI), October 1994. http://dx.doi.org/10.2172/10187043.

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Gilbert, R. O., and W. J. Klover. Statistical analyses of in-situ and soil-sample measurements for radionuclides in surface soil near the 116-K-2 trench. Office of Scientific and Technical Information (OSTI), September 1988. http://dx.doi.org/10.2172/7152042.

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Jury, William A., and David Russo. Characterization of Field-Scale Solute Transport in Spatially Variable Unsaturated Field Soils. United States Department of Agriculture, January 1994. http://dx.doi.org/10.32747/1994.7568772.bard.

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This report describes activity conducted in several lines of research associated with field-scale water and solute processes. A major effort was put forth developing a stochastic continuum analysis for an important class of problems involving flow of reactive and non reactive chemicals under steady unsaturated flow. The field-scale velocity covariance tensor has been derived from local soil properties and their variability, producing a large-scale description of the medium that embodies all of the local variability in a statistical sense. Special cases of anisotropic medium properties not aligned along the flow direction of spatially variable solute sorption were analysed in detail, revealing a dependence of solute spreading on subtle features of the variability of the medium, such as cross-correlations between sorption and conductivity. A novel method was developed and tested for measuring hydraulic conductivity at the scale of observation through the interpretation of a solute transport outflow curve as a stochastic-convective process. This undertaking provided a host of new K(q) relationships for existing solute experiments and also laid the foundation for future work developing a self-consistent description of flow and transport under these conditions. Numerical codes were developed for calculating K(q) functions for a variety of solute pulse outflow shapes, including lognormal, Fickian, Mobile-Immobile water, and bimodal. Testing of this new approach against conventional methodology was mixed, and agreed most closely when the assumptions of the new method were met. We conclude that this procedure offers a valuable alternative to conventional methods of measuring K(q), particularly when the application of the method is at a scale (e.g. and agricultural field) that is large compared to the common scale at which conventional K(q) devices operate. The same problem was approached from a numerical perspective, by studying the feasibility of inverting a solute outflow signal to yield the hydraulic parameters of the medium that housed the experiment. We found that the inverse problem was solvable under certain conditions, depending on the amount of noise in the signal and the degree of heterogeneity in the medium. A realistic three dimensional model of transient water and solute movement in a heterogeneous medium that contains plant roots was developed and tested. The approach taken was to generate a single realization of this complex flow event, and examine the results to see whether features were present that might be overlooked in less sophisticated model efforts. One such feature revealed is transverse dispersion, which is a critically important component in the development of macrodispersion in the longitudinal direction. The lateral mixing that was observed greatly exceeded that predicted from simpler approaches, suggesting that at least part of the important physics of the mixing process is embedded in the complexity of three dimensional flow. Another important finding was the observation that variability can produce a pseudo-kinetic behavior for solute adsorption, even when the local models used are equilibrium.

Searcy, Stephen W., and Kalman Peleg. Adaptive Sorting of Fresh Produce. United States Department of Agriculture, August 1993. http://dx.doi.org/10.32747/1993.7568747.bard.

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This project includes two main parts: Development of a “Selective Wavelength Imaging Sensor” and an “Adaptive Classifiery System” for adaptive imaging and sorting of agricultural products respectively. Three different technologies were investigated for building a selectable wavelength imaging sensor: diffraction gratings, tunable filters and linear variable filters. Each technology was analyzed and evaluated as the basis for implementing the adaptive sensor. Acousto optic tunable filters were found to be most suitable for the selective wavelength imaging sensor. Consequently, a selectable wavelength imaging sensor was constructed and tested using the selected technology. The sensor was tested and algorithms for multispectral image acquisition were developed. A high speed inspection system for fresh-market carrots was built and tested. It was shown that a combination of efficient parallel processing of a DSP and a PC based host CPU in conjunction with a hierarchical classification system, yielded an inspection system capable of handling 2 carrots per second with a classification accuracy of more than 90%. The adaptive sorting technique was extensively investigated and conclusively demonstrated to reduce misclassification rates in comparison to conventional non-adaptive sorting. The adaptive classifier algorithm was modeled and reduced to a series of modules that can be added to any existing produce sorting machine. A simulation of the entire process was created in Matlab using a graphical user interface technique to promote the accessibility of the difficult theoretical subjects. Typical Grade classifiers based on k-Nearest Neighbor techniques and linear discriminants were implemented. The sample histogram, estimating the cumulative distribution function (CDF), was chosen as a characterizing feature of prototype populations, whereby the Kolmogorov-Smirnov statistic was employed as a population classifier. Simulations were run on artificial data with two-dimensions, four populations and three classes. A quantitative analysis of the adaptive classifier's dependence on population separation, training set size, and stack length determined optimal values for the different parameters involved. The technique was also applied to a real produce sorting problem, e.g. an automatic machine for sorting dates by machine vision in an Israeli date packinghouse. Extensive simulations were run on actual sorting data of dates collected over a 4 month period. In all cases, the results showed a clear reduction in classification error by using the adaptive technique versus non-adaptive sorting.