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Relevant bibliographies by topics / Statistical sampling by attributes

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Academic literature on the topic 'Statistical sampling by attributes'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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Journal articles on the topic "Statistical sampling by attributes"

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Mohammad Hussein, Seraj, and Kiani Bahman. "Efficiency of sector sampling for estimating juniper forest attributes vs. fixed area plot." Journal of Forest Science 63, No. 10 (October 20, 2017): 463–69. http://dx.doi.org/10.17221/22/2017-jfs.

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Juniper forests grow in mountain areas and many difficulties are encountered in their sampling. Sector sampling as an unbiased and cost-effective method was tested for the sampling of a 12.5-ha juniper forest. To begin with, a point-map of trees was created and 50 quadrats were determined systematically. Fixed area plots were measured within these 50 × 50 m quadrats. In each quadrat, eight sectors with 45° angle were determined. One-sector and two-sector scenarios randomly besides four-sector scenario systematically were conducted. Accuracy and precision of sampling methods were compared. Also, statistical analysis was conducted to compare sector sampling scenarios with fixed area plot (FAP) and real data. Results showed that four-sector scenario estimates were close to FAP method in precision and accuracy. Statistical analysis showed that there was no significant difference between sector sampling scenarios and FAP and in real data. But in correlation analysis only the four-sector scenario could compete with FAP method. Regarding consumed time and sampling error simultaneously, the efficiency of sector sampling was higher than that of FAP method for estimating density and close to FAP method for estimating crown cover. It can be concluded that in laborious situations such as in juniper forests, sector sampling can be competitive with FAP method with noticeable parsimony. But more study is still needed to decrease sampling error and optimize sector angle with the purpose of cost saving.

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JARVIS, GEORGE A., and STEPHEN A. MALCOLM. "Comparison of Three-Class Attributes Sampling Plans and Variables Sampling Plans for Lot Acceptance Sampling in Food Microbiology." Journal of Food Protection 49, no. 9 (September 1, 1986): 724–28. http://dx.doi.org/10.4315/0362-028x-49.9.724.

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Lot acceptance sampling is an established method of assessing the microbiological quality and safety of batches or consignments of food, but the choice between three-class attributes plans and variables plans is not always clear. Application of variables plans requires that the microorganism of concern be distributed normally, or log-normally. When such is not true, variables plans may place either the consumer or the producer at increased risk. Validation of normality is therefore essential when using variables plans. However, with small numbers of sample units as are typically analyzed in microbiological testing of food, statistical tests are unlikely to detect non-normality. Three-class attributes plans do not require strong distributional assumptions for correct application, and as well they have several practical and operational advantages over variables plans. Moreover, three-class attributes plans assess lot quality in a fashion fundamentally different from variables plans, and this difference precludes the usual statistical comparisons based on relative discriminatory ability. We conclude that when selecting acceptance sampling plans for microbiological testing of food, whether the plans be for regulatory, port-of-entry or in-plant purposes, three-class plans are generally preferable to variables plans.

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Springer, Janet A., and Foster D. Mcclure. "Statistical Sampling Approaches." Journal of AOAC INTERNATIONAL 71, no. 2 (March 1, 1988): 246–50. http://dx.doi.org/10.1093/jaoac/71.2.246.

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Abstract This article describes basic sampling principles and the application of statistical sampling techniques to specific problems encountered in the Food and Drug Administration (FDA). Concepts are emphasized, and theory is minimized. The basic principles of sampling from a normal and binomial population, including confidence interval calculation and sample size determination, are briefly reviewed. Stratified, random, systematic, and judgment sampling are explained. Operating characteristic curves for attribute (and perhaps variable) sampling for acceptance of lots are derived and applied to specific FDA problems. The advantages and disadvantages of single and multiple sampling plans and plans which address multiple classes of criteria such as major and minor defects are discussed. Sampling schedules such as MIL-STD-105D and Canada's Government Specifications Board CGSB-105-GP-1 are reviewed to familiarize readers with the principles involved in these plans and to give them an idea of how they could be applied to FDA problems.

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De Araújo Rodrigues, Aurélia Aparecida, Eugenio Kahn Epprecht, and Maysa Sacramento De Magalhães. "Double-sampling control charts for attributes." Journal of Applied Statistics 38, no. 1 (January 2011): 87–112. http://dx.doi.org/10.1080/02664760903266007.

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Rodrigues, Marcos S., José E. Corá, and Carolina Fernandes. "Soil sampling intensity and spatial distribution pattern of soils attributes and corn yield in no-tillage system." Engenharia Agrícola 32, no. 5 (October 2012): 852–65. http://dx.doi.org/10.1590/s0100-69162012000500005.

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Taking into account that the sampling intensity of soil attributes is a determining factor for applying of concepts of precision agriculture, this study aims to determine the spatial distribution pattern of soil attributes and corn yield at four soil sampling intensities and verify how sampling intensity affects cause-effect relationship between soil attributes and corn yield. A 100-referenced point sample grid was imposed on the experimental site. Thus, each sampling cell encompassed an area of 45 m² and was composed of five 10-m long crop rows, where referenced points were considered the center of the cell. Samples were taken from at 0 to 0.1 m and 0.1 to 0.2 m depths. Soil chemical attributes and clay content were evaluated. Sampling intensities were established by initial 100-point sampling, resulting data sets of 100; 75; 50 and 25 points. The data were submitted to descriptive statistical and geostatistics analyses. The best sampling intensity to know the spatial distribution pattern was dependent on the soil attribute being studied. The attributes P and K+ content showed higher spatial variability; while the clay content, Ca2+, Mg2+ and base saturation values (V) showed lesser spatial variability. The spatial distribution pattern of clay content and V at the 100-point sampling were the ones which best explained the spatial distribution pattern of corn yield.

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Garfield, Frederick M. "Sampling in the Analytical Scheme." Journal of AOAC INTERNATIONAL 72, no. 3 (May 1, 1989): 405–11. http://dx.doi.org/10.1093/jaoac/72.3.405.

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Abstract The general principles of sampling in the analytical scheme, sampling definitions, and sampling planning are considered. Statistical considerations are stressed with attention to sampling by attributes and variables and the use of sampling control charts. Sampling techniques, records and chain-of-custody procedures, sample handling, laboratory sampling, and sample preparation for analysis, as well as reasons and causes of sampling errors, are discussed.

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Soundararajan, V., and V. Kuralmani. "Multiple Sampling Inspection Plans for Attributes." Communications in Statistics - Simulation and Computation 18, no. 4 (January 1989): 1251–74. http://dx.doi.org/10.1080/03610918908812820.

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Corona, Piermaria, Lorenzo Fattorini, and Sara Franceschi. "Two-stage sector sampling for estimating small woodlot attributes." Canadian Journal of Forest Research 41, no. 9 (September 2011): 1819–26. http://dx.doi.org/10.1139/x11-101.

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A two-stage sampling strategy is proposed to assess small woodlots outside the forests scattered on extensive territories. The first stage is performed to select a sample of small woodlots using fixed-size sampling schemes, and the second stage is performed to sample trees within woodlots selected at first stage. Usually, fixed- or variable-area plots are adopted to sample trees. However, the use of plot sampling in small patches such as woodlots is likely to induce a relevant amount of bias owing to edge effects. In this framework, sector sampling proves to be particularly effective. The present paper investigates the statistical properties of two-stage sampling strategies for estimating forest attributes of woodlot populations when sector sampling is adopted at the second stage. A two-stage estimator of population totals is derived together with a conservative estimator of its sampling variance. By means of a simulation study, the performance of the proposed estimator is checked and compared with that achieved using traditional plot sampling with edge corrections. Simulation results prove the adequacy of sector sampling and provide some guidelines for the effective planning of the strategy. In some countries, the proposed strategy can be performed with few modifications within the framework of large-scale forest inventories.

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Krz¨tschmer, Volker. "A generalized framework of sampling inspections by attributes." Statistics 39, no. 5 (October 2005): 445–55. http://dx.doi.org/10.1080/02331880500286928.

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Soundararajan, V., and R. Vijayaraghavan. "Double sampling attributes plans indexed by aql and aoql." Communications in Statistics - Theory and Methods 18, no. 8 (1989): 3033–46. http://dx.doi.org/10.1080/03610928908830075.

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Dissertations / Theses on the topic "Statistical sampling by attributes"

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Tʻang, Min. "Extention of evaluating the operating characteristics for dependent mixed variables-attributes sampling plans to large first sample size /." Online version of thesis, 1991. http://hdl.handle.net/1850/11208.

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Bil, Miroslav. "Uvolnění nakupovaných dílů do sériové výroby bez vstupní kontroly." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-232071.

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The theoretical part of this diploma thesis describes methods of incoming inspection with an emphasis on statistical sampling by attributes. The practical part contains an analysis of the qualifying process of suppliers and an analysis of the system of incoming inspection in the Kollmorgen Company. The outcome of the thesis is the system of sampling plans, review of the qualification process and setting up a parameter for monitoring the released parts into serial production.

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Majerek, Pavel. "Dynamizace vstupní kontroly za pomocí statistické přijímky srovnáváním." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2012. http://www.nusl.cz/ntk/nusl-230184.

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This master´s thesis deals with the description of control selection methods with emphasis on sampling procedures for inspection by attributes in the theoretical part. In the practicel part, the input control system in the plant Siemens motors Frenstat is analyzed. The outcome of the thesis is the direction of the input control created in accordance with the requirements of the management of the organization and based on ISO 2859 standards.

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ARAUJO, AURELIA APARECIDA DE. "DOUBLE-SAMPLING CONTROL CHARTS FOR ATTRIBUTES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2005. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=6938@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
Nesta tese é proposta a incorporação da estratégia de amostragem dupla, já utilizada em inspeção de lotes, ao gráfico de controle de np (número de defeituosos), com o objetivo de aumentar a sua eficiência, ou seja, reduzir o número médio de amostras até a detecção de um descontrole (NMA1), sem aumentar o tamanho médio de amostra (TMA) nem reduzir o número médio de amostras até um alarme falso (NMA0). Alternativamente, este esquema pode ser usado para reduzir o custo de amostragem do gráfico de np, uma vez que para obter o mesmo NMA1 que um gráfico de np com amostragem simples, o gráfico com amostragem dupla requererá menor tamanho médio de amostra. Para vários valores de p0 (fração defeituosa do processo em controle) e p1 (fração defeituosa do processo fora de controle), foi obtido o projeto ótimo do gráfico, ou seja, aquele que minimiza NMA1, tendo como restrições um valor máximo para TMA e valor mínimo para NMA0. O projeto ótimo foi obtido para vários valores dessas restrições. O projeto consiste na definição dos dois tamanhos de amostra, para o primeiro e o segundo estágios, e de um conjunto de limites para o gráfico. Para cada projeto ótimo foi também calculado o valor de NMA1 para uma faixa de valores de p1, além daquele para o qual o projeto foi otimizado. Foi feita uma comparação de desempenho entre o esquema desenvolvido e outros esquemas de monitoramento do número de defeituosos na amostra: o clássico gráfico de np (com amostragem simples), o esquema CuSum, o gráfico de controle de EWMA e o gráfico np VSS (gráfico adaptativo, com tamanho de amostra variável). Para a comparação, foram obtidos os projetos ótimos de cada um desses esquemas, sob as mesmas restrições e para os mesmos valores de p0 e p1. Assim, uma contribuição adicional dessa tese é a análise e otimização do desempenho dos esquemas CuSum, EWMA e VSS para np. O resultado final foi a indicação de qual é o esquema de controle de processo mais eficiente para cada situação. O gráfico de np com amostragem dupla aqui proposto e desenvolvido mostrou ser em geral o esquema mais eficiente para a detecção de aumentos grandes e moderados na fração defeituosa do processo, perdendo apenas para o gráfico VSS, nos casos em que p0, o tamanho (médio) de amostra e o aumento em p0 (razão p1/p0) são todos pequenos.
In this thesis, it is proposed the incorporation of the double-sampling strategy, used in lot inspection, to the np control chart (control chart for the number nonconforming), with the purpose of improving its efficiency, that is, reducing the out-of-control average run length (ARL1), without increasing the average sample size (ASS) or the in-control average run length (ARL0). Alternatively, this scheme can be used to reduce the np chart sampling costs, since that in order to get the same ARL1 of the single-sampling np chart, the doublesampling chart will require smaller average sample size. For a number of values of p0 (in-control defective rate of the process) and p1 (out-of-control defective rate of the process), the optimal chart designs were obtained, namely the designs that minimize ARL1, subject to maximum ASS and minimum ARL0 constraints. Optimal designs were obtained for several values of these constraints. The design consists of two sample sizes, for the first and second stages, and a set of limits for the chart. For each optimal design the value of ARL1 was also computed for a range of p1 values besides the one for which the design ARL1 was minimized. A performance comparison was carried out between the proposed scheme and the classical (single-sampling) np chart, the CuSum np scheme, the EWMA np control chart and the VSS np chart (the variable sample size control chart). For comparison, optimal designs for each scheme were considered, under same constraints and values of p0 and p1. An additional contribution of this thesis is the performance analysis and optimization of the np CuSum, EWMA and VSS schemes. The final result is the indication of the most efficient process control scheme for each situation. The double-sampling np control chart here proposed and developed has proved to be in general the most efficient scheme for the detection of large and moderate increases in the process fraction defective, being only surpassed by the VSS chart in the cases in which p0, the (average) sample size and the increase in p0 (p1/p0 ratio) are all small.

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Curram, J. B. "Computer-aided design in sampling inspection by attributes." Thesis, University of Kent, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.384480.

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Gwet, Jean-Philippe. "Robust statistical inference in survey sampling." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq22168.pdf.

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Nourmohammadi, Mohammad. "Statistical inference with randomized nomination sampling." Elsevier B.V, 2014. http://hdl.handle.net/1993/30150.

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In this dissertation, we develop several new inference procedures that are based on randomized nomination sampling (RNS). The first problem we consider is that of constructing distribution-free confidence intervals for quantiles for finite populations. The required algorithms for computing coverage probabilities of the proposed confidence intervals are presented. The second problem we address is that of constructing nonparametric confidence intervals for infinite populations. We describe the procedures for constructing confidence intervals and compare the constructed confidence intervals in the RNS setting, both in perfect and imperfect ranking scenario, with their simple random sampling (SRS) counterparts. Recommendations for choosing the design parameters are made to achieve shorter confidence intervals than their SRS counterparts. The third problem we investigate is the construction of tolerance intervals using the RNS technique. We describe the procedures of constructing one- and two-sided RNS tolerance intervals and investigate the sample sizes required to achieve tolerance intervals which contain the determined proportions of the underlying population. We also investigate the efficiency of RNS-based tolerance intervals compared with their corresponding intervals based on SRS. A new method for estimating ranking error probabilities is proposed. The final problem we consider is that of parametric inference based on RNS. We introduce different data types associated with different situation that one might encounter using the RNS design and provide the maximum likelihood (ML) and the method of moments (MM) estimators of the parameters in two classes of distributions; proportional hazard rate (PHR) and proportional reverse hazard rate (PRHR) models.

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Gwet, J. P. (Jean Philippe) Carleton University Dissertation Mathematics and Statistics. "Robust statistical inference in survey sampling." Ottawa, 1997.

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Baldock, Robert John Nicholas. "Classical statistical mechanics with nested sampling." Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.709164.

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Chalom, Edmond. "Statistical image sequence segmentation using multidimensional attributes." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/34335.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.
Includes bibliographical references (leaves 192-202).
by Edmond Chalom.
Ph.D.

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Books on the topic "Statistical sampling by attributes"

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Samuel, Kotz, and Wu Xizhi, eds. Inspection errors for attributes in quality control. London: Chapman & Hall, 1991.

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Byrne, John C. A data structure for describing sampling designs to aid in compilation of stand attributes. Ogden, UT: U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1988.

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Byrne, John C. A data structure for describing sampling designs to aid in compilation of stand attributes. Ogden, UT: U.S. Dept. of Agriculture, Forest Service, Intermountain Research Station, 1988.

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Durivage, Mark Allen. Practical attribute and variable measurement systems analysis (MSA): A guide for conducting gage R&R studies and test method validations. Milwaukee, Wisconsin: ASQ Quality Press, 2015.

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), National Applied Resource Sciences Center (U S. Sampling vegetation attributes. [Denver, Colo.]: Bureau of Land Management's National Applied Resource Sciences Center, 1996.

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Institution, British Standards. Sampling procedures for inspection by attributes. London: BSI, 1991.

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Institution, British Standards. Sampling procedures for inspection by attributes. London: B.S.I., 1986.

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United States. Internal Revenue Service. IRS statistical sampling handbook. [Washington, D.C.?]: Dept. of the Treasury, Internal Revenue Service, 1988.

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Guy, Dan M. Audit sampling: An introduction to statistical sampling in auditing. 2nd ed. New York: Wiley, 1986.

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Pitard, Francis F. Theory of Sampling and Sampling Practice. Boca Raton, Florida, USA: Chapman and Hall/CRC, 2019.

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Book chapters on the topic "Statistical sampling by attributes"

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Murdoch, J., and J. A. Barnes. "Attribute Single Sampling Tables." In Statistical Tables, 52–53. London: Macmillan Education UK, 1998. http://dx.doi.org/10.1007/978-1-349-12556-2_5.

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Murdoch, J., and J. A. Barnes. "Attribute Single Sampling Tables." In Statistical Tables, 34–35. London: Macmillan Education UK, 1986. http://dx.doi.org/10.1007/978-1-349-09107-2_5.

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Yang, Harry, and David Carlin. "Acceptance Sampling Plans by Attributes." In Applied Statistics in the Pharmaceutical Industry, 475–502. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3466-9_19.

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Grzegorzewski, Przemyslaw. "Acceptance Sampling Plans by Attributes with Fuzzy Risks and Quality Levels." In Frontiers in Statistical Quality Control 6, 36–46. Heidelberg: Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-642-57590-7_3.

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Ohta, H., and M. Furukawa. "Analysis and Design of the Sequential Sampling Plan by Attributes Based on the Minimal Lattice Paths." In Frontiers in Statistical Quality Control, 52–66. Heidelberg: Physica-Verlag HD, 1987. http://dx.doi.org/10.1007/978-3-662-11787-3_4.

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Liebesman, B. S. "The Development of an Attribute Skip-Lot Sampling Standard." In Frontiers in Statistical Quality Control, 3–23. Heidelberg: Physica-Verlag HD, 1987. http://dx.doi.org/10.1007/978-3-662-11787-3_1.

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Kanagawa, A., and H. Ohta. "Determination of Sample Sizes for Double Sampling Attribute Plans." In Frontiers in Statistical Quality Control 5, 13–20. Heidelberg: Physica-Verlag HD, 1997. http://dx.doi.org/10.1007/978-3-642-59239-3_2.

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Falsafi, Babak. "Statistical Sampling." In Processor and System-on-Chip Simulation, 179–91. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-6175-4_11.

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Chamberlin, Scott A. "Statistical Sampling." In Statistics for Kids, 97–109. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003238201-8.

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Young, Linda J., and Jerry H. Young. "Transect Sampling." In Statistical Ecology, 390–420. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2829-3_11.

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Conference papers on the topic "Statistical sampling by attributes"

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Xiu, Hui, Xuemei Jiang, and Xiaomei Zhang. "Order Dataset Release Scheme Based on Safe K-Anonymization for Privacy Protection in Cloud Manufacturing." In ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/msec2017-2720.

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Cloud Manufacturing is a new model to increase the manufacturing and business benefits by sharing manufacturing resources. These resources can bring users convenience, but also may be maliciously analyzed by the attacker which may result in personal or corporate privacy disclosure. In this paper, we discuss the privacy disclosure problem in cloud manufacturing, and propose a method for releasing order data securely with the complex relationship between enterprises and other vendors. With regards to the risk of privacy leakage in the process of data analysis or data mining, we improve the traditional method of anonymous releasing for original order data, and introduce the thought of safe k-anonymization to achieve the process. To meet the needs of protecting sensitive information in data, we analyze the users’ different demands for order data in the cloud manufacturing, use the sampling function to satisfy (β, ε, δ) - DPS to increase the uncertainty of the differential privacy, improve the k-anonymization method, apply the anonymous method with generalization, concealment, and reduce data associations to different attributes. The improved method not only preserves the statistical characteristics of the data, but also protects the privacy information in the order data in the cloud manufacturing environment.

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Kolyukhin, D., and A. Torabi. "Statistical Analysis of Fault Attributes." In 3rd EAGE International Conference on Fault and Top Seals. Netherlands: EAGE Publications BV, 2012. http://dx.doi.org/10.3997/2214-4609.20143044.

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Köhler, Henning, Xiaofang Zhou, Shazia Sadiq, Yanfeng Shu, and Kerry Taylor. "Sampling dirty data for matching attributes." In the 2010 international conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1807167.1807177.

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Wagner, Claudia, Philipp Singer, Fariba Karimi, Jürgen Pfeffer, and Markus Strohmaier. "Sampling from Social Networks with Attributes." In WWW '17: 26th International World Wide Web Conference. Republic and Canton of Geneva, Switzerland: International World Wide Web Conferences Steering Committee, 2017. http://dx.doi.org/10.1145/3038912.3052665.

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Riahi, Nima, Brad Birkelo, and Erik H. Saenger. "Analyzing passive seismic attributes: A statistical strategy." In SEG Technical Program Expanded Abstracts 2011. Society of Exploration Geophysicists, 2011. http://dx.doi.org/10.1190/1.3627528.

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Herrmann, Philippe, and Guillaume Cambois. "Statistical properties of seismically derived AVO attributes." In SEG Technical Program Expanded Abstracts 2001. Society of Exploration Geophysicists, 2001. http://dx.doi.org/10.1190/1.1816578.

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Wenisch, T. F., R. E. Wunderlich, B. Falsafi, and J. C. Hoe. "Statistical sampling of microarchitecture simulation." In Proceedings 20th IEEE International Parallel & Distributed Processing Symposium. IEEE, 2006. http://dx.doi.org/10.1109/ipdps.2006.1639584.

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Wong, R. Y., N. S. Ferguson, and C. F. Clark. "Statistical approach to food sampling." In Environmental Health Risk 2001. Southampton, UK: WIT Press, 2001. http://dx.doi.org/10.2495/ehr010221.

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Shams, Afaque, Nicolas Edh, and Kristian Angele. "Synthesis of a CFD Benchmark for the Thermal Mixing in a Sharp Corner T-Junction With a Wall." In 2018 26th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/icone26-81024.

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This article reports a CFD-benchmark with the purpose of validating different turbulence modelling approaches for the transient heat transfer due to mixing of hot and cold flow in a T-junction including the wall. This validation exercise has been carried out within the MOTHER project. In the framework of the project, new experiments were performed with a novel measurement sensor allowing the measurements of the fluctuating wall temperature inside the solid pipe wall. The tests were performed for two different Reynolds numbers (Re) 40000 and 60000 and for two different T-junction geometries; a sharp corner and a round corner. The present article reports the synthesis of the CFD validation for a sharp corner T-junction for Re = 40 000. The CFD validation study has been performed using four different CFD softwares, namely STAR-CCM+, Code_Saturne, LESOCC2 and Fluent. In addition, five different turbulence models i.e. wall-function Large Eddy Simulation (LES), Deatched Eddy Simulation (DES), Partially Resolved Numerical Simulation (PRNS), Unsteady Reynolds Averaged Navier-Stokes URANS and RANS were used to perform the CFD computations. The validation exercise has shown that LES gives the best agreement with the experimental data followed by hybrid (LES/RANS), URANS and RANS models, respectively. The velocity and the thermal fields in the fluid region are correctly predicted by the proper use of the LES modelling, whereas, the accurate prediction of the thermal field in the solid requires very long sampling time in order to achieve a statistically converged solution, which of course requires an enormous computational power. Therefore, the statistical convergence of the thermal field in the solid has been found to be a bottleneck in order to accurately predict the temperature fluctuations in the wall. However, measuring the small amplitude temperature fluctuations is also associated with an uncertainty so the disagreement between CFD and measurements (of the order of 10 %) can also be attributed, in part, to uncertainties in the measurements.

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Miller, Simon, Christian Wagner, and Jonathan M. Garibaldi. "Exploring statistical attributes obtained from fuzzy agreement models." In 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2014. http://dx.doi.org/10.1109/fuzz-ieee.2014.6891817.

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Reports on the topic "Statistical sampling by attributes"

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Shine, G. STATISTICAL EVALUATION OF TANK 12 SAMPLING OPTIONS. Office of Scientific and Technical Information (OSTI), June 2014. http://dx.doi.org/10.2172/1146961.

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Hansen, Jeffery P., Lutz Wrage, Sagar Chaki, Dionisio de Niz, and Mark Klein. Semantic Importance Sampling for Statistical Model Checking. Fort Belvoir, VA: Defense Technical Information Center, October 2014. http://dx.doi.org/10.21236/ada613893.

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Hansen, Jeffery P., Lutz Wrage, Sagar Chaki, Dionisio de Niz, and Mark Klein. Semantic Importance Sampling for Statistical Model Checking. Fort Belvoir, VA: Defense Technical Information Center, January 2015. http://dx.doi.org/10.21236/ada614107.

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Schreuder, Hans T., Richard Ernst, and Hugo Ramirez-Maldonado. Statistical techniques for sampling and monitoring natural resources. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2004. http://dx.doi.org/10.2737/rmrs-gtr-126.

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Byrne, John C., and Albert R. Stage. A data structure for describing sampling designs to aid in compilation of stand attributes. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Research Station, 1988. http://dx.doi.org/10.2737/int-gtr-247.

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Heasler, P. G., and L. Jensen. Statistical evaluations of current sampling procedures and incomplete core recovery. Office of Scientific and Technical Information (OSTI), March 1994. http://dx.doi.org/10.2172/10142367.

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Fountain, Matthew S., Robert T. Brigantic, and Reid A. Peterson. Statistical Methods and Tools for Hanford Staged Feed Tank Sampling. Office of Scientific and Technical Information (OSTI), October 2013. http://dx.doi.org/10.2172/1113604.

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Nuffer, Lisa L., Landon H. Sego, John E. Wilson, Nancy L. Hassig, Brent A. Pulsipher, and Brett D. Matzke. Validation of Statistical Sampling Algorithms in Visual Sample Plan (VSP): Summary Report. Office of Scientific and Technical Information (OSTI), February 2009. http://dx.doi.org/10.2172/1000178.

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Shine, E. P. Analysis of sampling plan options for tank 16H from the perspective of statistical uncertainty. Office of Scientific and Technical Information (OSTI), February 2013. http://dx.doi.org/10.2172/1067371.

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Eberhardt, L. L., and J. M. Thomas. Survey of statistical and sampling needs for environmental monitoring of commercial low-level radioactive waste disposal facilities. Office of Scientific and Technical Information (OSTI), July 1986. http://dx.doi.org/10.2172/5439888.

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