Relevant bibliographies by topics / Empirical methods

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  2. Dissertations / Theses
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  4. Book chapters
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Academic literature on the topic 'Empirical methods'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Empirical methods"

1

Lindley, D. V., J. S. Maritz, and T. Lwin. "Empirical Bayes Methods." Mathematical Gazette 74, no. 467 (1990): 91. http://dx.doi.org/10.2307/3618894.

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Bagghi, Parthasarathy, J. S. Maritz, and T. Lwin. "Empirical Bayes Methods." Journal of the American Statistical Association 86, no. 413 (1991): 244. http://dx.doi.org/10.2307/2289739.

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Angus, John E. "Empirical Bayes Methods." Technometrics 33, no. 2 (1991): 243–45. http://dx.doi.org/10.1080/00401706.1991.10484821.

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Stephenson, W. Robert. "Empirical Bayes Methods." Journal of Quality Technology 22, no. 3 (1990): 249–50. http://dx.doi.org/10.1080/00224065.1990.11979250.

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Young, Karen, J. Maritz, and T. Lwin. "Empirical Bayes Methods." Applied Statistics 41, no. 3 (1992): 604. http://dx.doi.org/10.2307/2348097.

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Denham, Mike, J. S. Maritz, and T. Lwin. "Empirical Bayes Methods." Statistician 39, no. 1 (1990): 97. http://dx.doi.org/10.2307/2348214.

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Schneider-Mayerson, Matthew, Alexa Weik von Mossner, and W. P. Małecki. "Empirical Ecocriticism: Environmental Texts and Empirical Methods." ISLE: Interdisciplinary Studies in Literature and Environment 27, no. 2 (2020): 327–36. http://dx.doi.org/10.1093/isle/isaa022.

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ter Beek, Maurice H., and Alessio Ferrari. "Empirical Formal Methods: Guidelines for Performing Empirical Studies on Formal Methods." Software 1, no. 4 (2022): 381–416. http://dx.doi.org/10.3390/software1040017.

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Empirical studies on formal methods and tools are rare. In this paper, we provide guidelines for such studies. We mention their main ingredients and then define nine different study strategies (usability testing, laboratory experiments with software and human subjects, case studies, qualitative studies, surveys, judgement studies, systematic literature reviews, and systematic mapping studies) and discuss for each of them their crucial characteristics, the difficulties of applying them to formal methods and tools, typical threats to validity, their maturity in formal methods, pointers to extern
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Wolstein, Benjamin. "Five Empirical Psychoanalytic Methods." Contemporary Psychoanalysis 26, no. 2 (1990): 237–56. http://dx.doi.org/10.1080/00107530.1990.10746657.

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Laird, Nan M., and Thomas A. Louis. "Empirical Bayes Ranking Methods." Journal of Educational Statistics 14, no. 1 (1989): 29–46. http://dx.doi.org/10.3102/10769986014001029.

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Ranking problems arise in setting priorities for investigations, in providing a simple summary of performance, in comparing objects in a manner robust to measurement scale, and in a wide variety of other applications. Commonly, rankings are computed from measurements that depend on the true attribute. Using the Gaussian model, we propose and compare methods for using these measurements to estimate the ranks of the underlying attributes and show that those based on an empirical Bayes model produce estimates that differ from ranking observed data. These differences result both from the effect of
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Dissertations / Theses on the topic "Empirical methods"

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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.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2006.<br>Title 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.
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Zawadzki, Erik P. "Multiagent learning and empirical methods." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2480.

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Many algorithms exist for learning how to act in a repeated game and most have theoretical guarantees associated with their behaviour. However, there are few experimental results about the empirical performance of these algorithms, which is important for any practical application of this work. Most of the empirical claims in the literature to date have been based on small experiments, and this has hampered the development of multiagent learning (MAL) algorithms with good performance properties. In order to rectify this problem, we have developed a suite of tools for running multiagent experime
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Fevang, Rune, and 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.

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<p>Metric 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
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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.

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In the present dissertation, we investigate two different nonparametric models; empirical Bayes model and functional deconvolution model. In the case of the nonparametric empirical Bayes estimation, we carried out a complete minimax study. In particular, we derive minimax lower bounds for the risk of the nonparametric empirical Bayes estimator for a general conditional distribution. This result has never been obtained previously. In order to attain optimal convergence rates, we use a wavelet series based empirical Bayes estimator constructed in Pensky and Alotaibi (2005). We prop
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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.

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Nguyen, Viet Hung. "Empirical Methods for Evaluating Vulnerability Models." Doctoral thesis, Università degli studi di Trento, 2014. https://hdl.handle.net/11572/368542.

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This dissertation focuses on the following research question: “how to independently and systematically validate empirical vulnerability models?†. Based on the survey of past studies about the vulnerability discovery process, the dissertation has pointed out several critical issues in the traditional methodology for evaluating the performance of vulnerability discovery models (VDMs). Such issues did impact the conclusions of several studies in the literature. To address such pitfalls, a novel empirical methodology and a data collection infrastructure are proposed to conduct experiments that
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Nguyen, Viet Hung. "Empirical Methods for Evaluating Vulnerability Models." Doctoral thesis, University of Trento, 2014. http://eprints-phd.biblio.unitn.it/1282/1/nguyen-thesis.pdf.

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This dissertation focuses on the following research question: “how to independently and systematically validate empirical vulnerability models?”. Based on the survey of past studies about the vulnerability discovery process, the dissertation has pointed out several critical issues in the traditional methodology for evaluating the performance of vulnerability discovery models (VDMs). Such issues did impact the conclusions of several studies in the literature. To address such pitfalls, a novel empirical methodology and a data collection infrastructure are proposed to conduct experiments that eva
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Mikkola, Hennamari. "Empirical studies on Finnish hospital pricing methods /." Helsinki : Helsinki School of Economics, 2002. http://aleph.unisg.ch/hsgscan/hm00068878.pdf.

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Brandel, 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.

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Lönnstedt, 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.

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<p>cDNA 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. </p><p>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 metho
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Books on the topic "Empirical methods"

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Maritz, J. S. Empirical Bayes methods. 2nd ed. Chapman and Hall, 1989.

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author, Lwin T., ed. Empirical Bayes Methods. Taylor and Francis, 2018.

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Shugars, Sarah. Navigating Empirical Methods. SAGE Publications Ltd, 2025. https://doi.org/10.4135/9781036223038.

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Lawless, Robert M. Empirical methods in law. Aspen Publishers, 2010.

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K, Robbennolt Jennifer, and Ulen Thomas, eds. Empirical methods in law. Aspen Publishers, 2010.

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Sudhoff, Stefan, Denisa Lenertova, Roland Meyer, et al., eds. Methods in Empirical Prosody Research. DE GRUYTER, 2006. http://dx.doi.org/10.1515/9783110914641.

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Cohen, Paul R. Empirical methods for artificial intelligence. MIT Press, 1995.

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Stefan, Hrsg :. Sudhoff, ed. Methods in empirical prosody research. Walter de Gruyter GmbH & Co. KG, 2006.

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Krahmer, Emiel, and Mariët Theune, eds. Empirical Methods in Natural Language Generation. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15573-4.

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Semmler, Willi, ed. Business Cycles: Theory and Empirical Methods. Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1364-9.

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Book chapters on the topic "Empirical methods"

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Volponi, Allan J. "Empirical Methods." In Gas Turbine Parameter Corrections. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41076-6_7.

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O’Connell, Daniel C., and Sabine Kowal. "Empirical Methods." In Communicating with One Another. Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-77632-3_2.

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Hult, Henrik, Filip Lindskog, Ola Hammarlid, and Carl Johan Rehn. "Empirical Methods." In Risk and Portfolio Analysis. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4103-8_7.

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Corami, Alessia, Saeid Eslamian, and Eslamian Faezeh. "Empirical Methods." In Fundamentals of Evapotranspiration. CRC Press, 2024. http://dx.doi.org/10.1201/9781003467229-4.

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Häder, Michael. "Survey Methods." In Empirical Social Research. Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-37907-0_6.

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Newhart, Michelle, and Mildred L. Patten. "Empirical Validity." In Understanding Research Methods, 11th ed. Routledge, 2023. http://dx.doi.org/10.4324/9781003092049-45.

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Patten, Mildred L., and Michelle Newhart. "Empirical Research." In Understanding Research Methods. Routledge, 2017. http://dx.doi.org/10.4324/9781315213033-3.

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Patten, Mildred L., and Michelle Newhart. "Empirical Validity." In Understanding Research Methods. Routledge, 2017. http://dx.doi.org/10.4324/9781315213033-42.

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Wu, Changbao, and Mary E. Thompson. "Empirical Likelihood Methods." In ICSA Book Series in Statistics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44246-0_8.

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Cai, Kai-Yuan. "Empirical Regression Methods." In The Kluwer International Series in Software Engineering. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5593-3_2.

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Conference papers on the topic "Empirical methods"

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Kalogirou, Eleftheria, Michalis Mavrovouniotis, Marios Tzouvaras, Christodoulos Mettas, Evagoras Evagorou, and Diofantos Hadjimitsis. "Empirical Analysis of Oil Spill Detection Methods." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642731.

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Vance, Nathan, and Patrick Flynn. "Refining Remote Photoplethysmography Architectures using CKA and Empirical Methods." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2024. http://dx.doi.org/10.1109/cvprw63382.2024.00043.

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Sabir, Umair, and Che-Rung Lee. "An Empirical Study on Methods for Abnormal Trajectory Detection." In 2019 IEEE 5th International Conference on Big Data Intelligence and Computing (DATACOM). IEEE, 2019. http://dx.doi.org/10.1109/datacom.2019.00044.

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Grendar, M. "Empirical Maximum Entropy Methods." In Bayesian Inference and Maximum Entropy Methods In Science and Engineering. AIP, 2006. http://dx.doi.org/10.1063/1.2423302.

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Pakalnis, Rimas. "Empirical design methods in practice." In 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.

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Tadepalli, Srikanth, and Kristin L. Wood. "Adaptive Methods for Non-Linear Empirical Similitude Method." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-67974.

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Several problems in engineering realm pose modeling and simulation difficulty due to severe non–linear behavior and debilitating singular or stiff conditions that act as additional impediments. In many such instances advanced numerical schemes are employed to either relax or simplify the PDE that defines the physical process to obtain reasonable output from the simulation. Digressing from this traditional approach, we present an experimental similitude method in this paper to analyze non–linear systems. Combined with the use of original mapping algorithms, we discuss the benefits of empirical
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Koehn, Philipp, and Kevin Knight. "Empirical methods for compound splitting." In the tenth conference. Association for Computational Linguistics, 2003. http://dx.doi.org/10.3115/1067807.1067833.

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Tsumoto, Shusaku. "Empirical Rule Induction Methods Selection." In 2021 IEEE International Conference on Big Data (Big Data). IEEE, 2021. http://dx.doi.org/10.1109/bigdata52589.2021.9671726.

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Paek, Tim. "Empirical methods for evaluating dialog systems." In the workshop. Association for Computational Linguistics, 2001. http://dx.doi.org/10.3115/1118053.1118054.

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Paek, Tim. "Empirical methods for evaluating dialog systems." In the Second SIGdial Workshop. Association for Computational Linguistics, 2001. http://dx.doi.org/10.3115/1118078.1118092.

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Reports on the topic "Empirical methods"

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Glaeser, Edward. Researcher Incentives and Empirical Methods. National Bureau of Economic Research, 2006. http://dx.doi.org/10.3386/t0329.

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Walters, Christopher. Empirical Bayes Methods in Labor Economics. National Bureau of Economic Research, 2024. http://dx.doi.org/10.3386/w33091.

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Hommel, Nicolas, Augustin Landier, and David Thesmar. Corporate Valuation: An Empirical Comparison of Discounting Methods. National Bureau of Economic Research, 2023. http://dx.doi.org/10.3386/w30898.

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Birenzvige, A., L. M. Sturdivan, G. R. Famini, P. N. Krishnan, and R. E. Morris. Predicting Polymer Properties by Computational Methods 2: A Comparison of Semi-Empirical Methods. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada256856.

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Cain, 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.

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Gu, Jiaying, and Roger Koenker. Rebayes: an R package for empirical bayes mixture methods. The IFS, 2017. http://dx.doi.org/10.1920/wp.cem.2017.3717.

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Rosati, Julie D. Functional Design of Breakwaters for Shore Protection: Empirical Methods. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada228024.

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Tetenov, Aleksey, and Toru Kitagawa. Who should be treated? Empirical welfare maximization methods for treatment choice. IFS, 2015. http://dx.doi.org/10.1920/wp.cem.2015.1015.

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Kitagawa, Toru, and Aleksey Tetenov. Who should be treated? Empirical welfare maximization methods for treatment choice. The IFS, 2017. http://dx.doi.org/10.1920/wp.cem.2017.2417.

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Kunsberg, P. Citizen advisory boards: An empirical model for choosing goals and methods. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/543603.

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