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Artykuły w czasopismach na temat "Empirical methods"
Lindley, D. V., J. S. Maritz i T. Lwin. "Empirical Bayes Methods". Mathematical Gazette 74, nr 467 (marzec 1990): 91. http://dx.doi.org/10.2307/3618894.
Pełny tekst źródłaBagghi, Parthasarathy, J. S. Maritz i T. Lwin. "Empirical Bayes Methods." Journal of the American Statistical Association 86, nr 413 (marzec 1991): 244. http://dx.doi.org/10.2307/2289739.
Pełny tekst źródłaAngus, John E. "Empirical Bayes Methods". Technometrics 33, nr 2 (maj 1991): 243–45. http://dx.doi.org/10.1080/00401706.1991.10484821.
Pełny tekst źródłaStephenson, W. Robert. "Empirical Bayes Methods". Journal of Quality Technology 22, nr 3 (lipiec 1990): 249–50. http://dx.doi.org/10.1080/00224065.1990.11979250.
Pełny tekst źródłaYoung, Karen, J. Maritz i T. Lwin. "Empirical Bayes Methods." Applied Statistics 41, nr 3 (1992): 604. http://dx.doi.org/10.2307/2348097.
Pełny tekst źródłaDenham, Mike, J. S. Maritz i T. Lwin. "Empirical Bayes Methods." Statistician 39, nr 1 (1990): 97. http://dx.doi.org/10.2307/2348214.
Pełny tekst źródłaSchneider-Mayerson, Matthew, Alexa Weik von Mossner i W. P. Małecki. "Empirical Ecocriticism: Environmental Texts and Empirical Methods". ISLE: Interdisciplinary Studies in Literature and Environment 27, nr 2 (2020): 327–36. http://dx.doi.org/10.1093/isle/isaa022.
Pełny tekst źródłater Beek, Maurice H., i Alessio Ferrari. "Empirical Formal Methods: Guidelines for Performing Empirical Studies on Formal Methods". Software 1, nr 4 (24.09.2022): 381–416. http://dx.doi.org/10.3390/software1040017.
Pełny tekst źródłaWolstein, Benjamin. "Five Empirical Psychoanalytic Methods". Contemporary Psychoanalysis 26, nr 2 (kwiecień 1990): 237–56. http://dx.doi.org/10.1080/00107530.1990.10746657.
Pełny tekst źródłaLaird, Nan M., i Thomas A. Louis. "Empirical Bayes Ranking Methods". Journal of Educational Statistics 14, nr 1 (marzec 1989): 29–46. http://dx.doi.org/10.3102/10769986014001029.
Pełny tekst źródłaRozprawy doktorskie na temat "Empirical methods"
Luta, Gheorghe Sen Pranab Kumar Koch Gary G. "Empirical likelihood-based adjustment methods". Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2006. http://dc.lib.unc.edu/u?/etd,502.
Pełny tekst źródłaTitle from electronic title page (viewed Oct. 10, 2007). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Biostatistics." Discipline: Biostatistics; Department/School: Public Health.
Zawadzki, Erik P. "Multiagent learning and empirical methods". Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2480.
Pełny tekst źródłaFevang, Rune, i Arne Bergene Fossaa. "Empirical evaluation of metric indexing methods". Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8902.
Pełny tekst źródłaMetric indexing is a branch of search technology that is designed for search non-textual data. Examples of this includes image search (where the search query is an image), document search (finding documents that are roughly equal) to search in high-dimensional Euclidean spaces. Metric indexing is based on the theory of metric spaces, where the only thing known about a set of objects is the distance between them (defined by a metric distance function). A large number of methods have been proposed to solve the metric indexing problem. In this thesis, we have concentrated on new approaches to solving these problems, as well as combining existing methods to create better ones. The methods studied in this thesis include D-Index, GNAT, EMVP-Forest, HC, SA-Tree, SSS-Tree, M-Tree, PM-Tree, M*-Tree and PM*-Tree. These have all been implemented and tested against each other to find strengths and weaknesses. This thesis also studies a group of indexing methods called hybrid methods which combines tree-based methods (like SA-Tree, SSS-tree and M-Tree), with pivoting methods (like AESA and LAESA). The thesis also proposes a method to create hybrid trees from existing trees by using features in the programming language. Hybrid methods have been shown in this thesis to be very promising. While they may have a considerable overhead in construction time,CPU usage and/or memory usage, they show large benefits in reduced number of distance computations. We also propose a new way of calculating the Minimal Spanning Tree of a graph operating on metric objects, and show that it reduces the number of distance computations needed.
Benhaddou, Rida. "Nonparametric and Empirical Bayes Estimation Methods". Doctoral diss., University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5765.
Pełny tekst źródłaPh.D.
Doctorate
Mathematics
Sciences
Mathematics
Reinhardt, Timothy Patrick. "Empirical methods for comparing governance structure". Thesis, [Austin, Tex. : University of Texas, 2009. http://hdl.handle.net/2152/ETD-UT-2009-05-134.
Pełny tekst źródłaMikkola, Hennamari. "Empirical studies on Finnish hospital pricing methods /". Helsinki : Helsinki School of Economics, 2002. http://aleph.unisg.ch/hsgscan/hm00068878.pdf.
Pełny tekst źródłaBrandel, John. "Empirical Bayes methods for missing data analysis". Thesis, Uppsala University, Department of Mathematics, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-121408.
Pełny tekst źródłaLönnstedt, Ingrid. "Empirical Bayes Methods for DNA Microarray Data". Doctoral thesis, Uppsala University, Department of Mathematics, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-5865.
Pełny tekst źródłacDNA microarrays is one of the first high-throughput gene expression technologies that has emerged within molecular biology for the purpose of functional genomics. cDNA microarrays compare the gene expression levels between cell samples, for thousands of genes simultaneously.
The microarray technology offers new challenges when it comes to data analysis, since the thousands of genes are examined in parallel, but with very few replicates, yielding noisy estimation of gene effects and variances. Although careful image analyses and normalisation of the data is applied, traditional methods for inference like the Student t or Fisher’s F-statistic fail to work.
In this thesis, four papers on the topics of empirical Bayes and full Bayesian methods for two-channel microarray data (as e.g. cDNA) are presented. These contribute to proving that empirical Bayes methods are useful to overcome the specific data problems. The sample distributions of all the genes involved in a microarray experiment are summarized into prior distributions and improves the inference of each single gene.
The first part of the thesis includes biological and statistical background of cDNA microarrays, with an overview of the different steps of two-channel microarray analysis, including experimental design, image analysis, normalisation, cluster analysis, discrimination and hypothesis testing. The second part of the thesis consists of the four papers. Paper I presents the empirical Bayes statistic B, which corresponds to a t-statistic. Paper II is based on a version of B that is extended for linear model effects. Paper III assesses the performance of empirical Bayes models by comparisons with full Bayes methods. Paper IV provides extensions of B to what corresponds to F-statistics.
Lönnstedt, Ingrid. "Empirical Bayes methods for DNA microarray data /". Uppsala : Matematiska institutionen, Univ. [distributör], 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-5865.
Pełny tekst źródłaImhof, David. "Empirical Methods for Detecting Bid-rigging Cartels". Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCB005/document.
Pełny tekst źródłaThe PhD studies different empirical methods to detect bid-rigging cartels. It shows first that simple statistical screens perform very well to detect bid-rigging infringement. Second, the econometric method of Bajari, well established in the literature, produces poor results
Książki na temat "Empirical methods"
Maritz, J. S. Empirical Bayes methods. Wyd. 2. London: Chapman and Hall, 1989.
Znajdź pełny tekst źródłaLawless, Robert M. Empirical methods in law. New York: Aspen Publishers, 2010.
Znajdź pełny tekst źródłaLawless, Robert M. Empirical methods in law. New York: Aspen Publishers, 2010.
Znajdź pełny tekst źródłaCohen, Paul R. Empirical methods for artificial intelligence. Cambridge, Ma: MIT Press, 1995.
Znajdź pełny tekst źródłaCohen, Paul R. Empirical methods for artificial intelligence. Cambridge, Mass: MIT Press, 1995.
Znajdź pełny tekst źródłaSudhoff, Stefan, Denisa Lenertova, Roland Meyer, Sandra Pappert, Petra Augurzky, Ina Mleinek, Nicole Richter i Johannes Schließer, red. Methods in Empirical Prosody Research. Berlin, Boston: DE GRUYTER, 2006. http://dx.doi.org/10.1515/9783110914641.
Pełny tekst źródłaBailey, Michael P. Empirical methods for estimating workload capacity. Monterey, Calif: Naval Postgraduate School, 1992.
Znajdź pełny tekst źródła1962-, Christensen H. I., i Phillips P. Jonathon, red. Empirical evaluation methods in computer vision. Singapore: World Scientific, 2002.
Znajdź pełny tekst źródłaWilli, Semmler, red. Business cycles: Theory and empirical methods. Boston: Kluwer Academic Publishers, 1994.
Znajdź pełny tekst źródłaSadlej, Joanna. Semi-empirical methods of quantum chemistry. Chichester: Ellis Horwood, 1985.
Znajdź pełny tekst źródłaCzęści książek na temat "Empirical methods"
Volponi, Allan J. "Empirical Methods". W Gas Turbine Parameter Corrections, 61–69. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41076-6_7.
Pełny tekst źródłaO’Connell, Daniel C., i Sabine Kowal. "Empirical Methods". W Communicating with One Another, 1–14. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-77632-3_2.
Pełny tekst źródłaHult, Henrik, Filip Lindskog, Ola Hammarlid i Carl Johan Rehn. "Empirical Methods". W Risk and Portfolio Analysis, 197–229. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4103-8_7.
Pełny tekst źródłaHäder, Michael. "Survey Methods". W Empirical Social Research, 173–311. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-37907-0_6.
Pełny tekst źródłaPatten, Mildred L., i Michelle Newhart. "Empirical Research". W Understanding Research Methods, 5–7. Tenth edition. | New York, NY : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315213033-3.
Pełny tekst źródłaPatten, Mildred L., i Michelle Newhart. "Empirical Validity". W Understanding Research Methods, 129–32. Tenth edition. | New York, NY : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315213033-42.
Pełny tekst źródłaWu, Changbao, i Mary E. Thompson. "Empirical Likelihood Methods". W ICSA Book Series in Statistics, 161–92. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44246-0_8.
Pełny tekst źródłaCai, Kai-Yuan. "Empirical Regression Methods". W The Kluwer International Series in Software Engineering, 29–68. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5593-3_2.
Pełny tekst źródłaKnopov, Pavel S., i Evgeniya J. Kasitskaya. "Parametric Empirical Methods". W Applied Optimization, 11–70. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3567-3_2.
Pełny tekst źródłaSzutowski, Dawid. "Empirical Research Methods". W Management Control Systems, Decision-Making, and Innovation Development, 217–56. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003215035-6.
Pełny tekst źródłaStreszczenia konferencji na temat "Empirical methods"
Grendar, M. "Empirical Maximum Entropy Methods". W Bayesian Inference and Maximum Entropy Methods In Science and Engineering. AIP, 2006. http://dx.doi.org/10.1063/1.2423302.
Pełny tekst źródłaPakalnis, Rimas. "Empirical design methods in practice". W International Seminar on Design Methods in Underground Mining. Australian Centre for Geomechanics, Perth, 2015. http://dx.doi.org/10.36487/acg_rep/1511_0.3_pakalnis.
Pełny tekst źródłaTadepalli, Srikanth, i Kristin L. Wood. "Adaptive Methods for Non-Linear Empirical Similitude Method". W ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-67974.
Pełny tekst źródłaKoehn, Philipp, i Kevin Knight. "Empirical methods for compound splitting". W the tenth conference. Morristown, NJ, USA: Association for Computational Linguistics, 2003. http://dx.doi.org/10.3115/1067807.1067833.
Pełny tekst źródłaTsumoto, Shusaku. "Empirical Rule Induction Methods Selection". W 2021 IEEE International Conference on Big Data (Big Data). IEEE, 2021. http://dx.doi.org/10.1109/bigdata52589.2021.9671726.
Pełny tekst źródłaPaek, Tim. "Empirical methods for evaluating dialog systems". W the workshop. Morristown, NJ, USA: Association for Computational Linguistics, 2001. http://dx.doi.org/10.3115/1118053.1118054.
Pełny tekst źródłaPaek, Tim. "Empirical methods for evaluating dialog systems". W the Second SIGdial Workshop. Morristown, NJ, USA: Association for Computational Linguistics, 2001. http://dx.doi.org/10.3115/1118078.1118092.
Pełny tekst źródłaAlnatheer, Ahmed, Andrew M. Gravell, David Argles i Lester Gilbert. "Agile Security Methods: An Empirical Investigation". W Software Engineering / 811: Parallel and Distributed Computing and Networks / 816: Artificial Intelligence and Applications. Calgary,AB,Canada: ACTAPRESS, 2014. http://dx.doi.org/10.2316/p.2014.810-011.
Pełny tekst źródłaWood, John J., Kristin L. Wood i Wade O. Troxell. "Empirical Analysis Using Advanced Similarity Methods". W ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/dac-34082.
Pełny tekst źródłaSharma, Shelja, Veena Mittal, Ritesh Srivastava i S. K. Singh. "Empirical Evaluation of Various Classification Methods". W 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN). IEEE, 2020. http://dx.doi.org/10.1109/icacccn51052.2020.9362773.
Pełny tekst źródłaRaporty organizacyjne na temat "Empirical methods"
Glaeser, Edward. Researcher Incentives and Empirical Methods. Cambridge, MA: National Bureau of Economic Research, październik 2006. http://dx.doi.org/10.3386/t0329.
Pełny tekst źródłaBirenzvige, A., L. M. Sturdivan, G. R. Famini, P. N. Krishnan i R. E. Morris. Predicting Polymer Properties by Computational Methods 2: A Comparison of Semi-Empirical Methods. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 1992. http://dx.doi.org/10.21236/ada256856.
Pełny tekst źródłaCain, P. Empirical methods of support design for the Sydney Coalfield. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1985. http://dx.doi.org/10.4095/304789.
Pełny tekst źródłaGu, Jiaying, i Roger Koenker. Rebayes: an R package for empirical bayes mixture methods. The IFS, sierpień 2017. http://dx.doi.org/10.1920/wp.cem.2017.3717.
Pełny tekst źródłaRosati, Julie D. Functional Design of Breakwaters for Shore Protection: Empirical Methods. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 1990. http://dx.doi.org/10.21236/ada228024.
Pełny tekst źródłaTetenov, Aleksey, i Toru Kitagawa. Who should be treated? Empirical welfare maximization methods for treatment choice. IFS, marzec 2015. http://dx.doi.org/10.1920/wp.cem.2015.1015.
Pełny tekst źródłaKitagawa, Toru, i Aleksey Tetenov. Who should be treated? Empirical welfare maximization methods for treatment choice. The IFS, maj 2017. http://dx.doi.org/10.1920/wp.cem.2017.2417.
Pełny tekst źródłaKunsberg, P. Citizen advisory boards: An empirical model for choosing goals and methods. Office of Scientific and Technical Information (OSTI), grudzień 1994. http://dx.doi.org/10.2172/543603.
Pełny tekst źródłaMalde, Bansi, i Arun Advani. Empirical methods for networks data: social effects, network formation and measurement error. IFS, grudzień 2014. http://dx.doi.org/10.1920/wp.ifs.2014.1434.
Pełny tekst źródłaJagannathan, Ravi, i Zhenyu Wang. Empirical Evaluation of Asset Pricing Models: A Comparison of the SDF and Beta Methods. Cambridge, MA: National Bureau of Economic Research, styczeń 2001. http://dx.doi.org/10.3386/w8098.
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