Academic literature on the topic 'Empirical methods'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Empirical methods.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Empirical methods":
Lindley, D. V., J. S. Maritz, and T. Lwin. "Empirical Bayes Methods." Mathematical Gazette 74, no. 467 (March 1990): 91. http://dx.doi.org/10.2307/3618894.
Bagghi, Parthasarathy, J. S. Maritz, and T. Lwin. "Empirical Bayes Methods." Journal of the American Statistical Association 86, no. 413 (March 1991): 244. http://dx.doi.org/10.2307/2289739.
Angus, John E. "Empirical Bayes Methods." Technometrics 33, no. 2 (May 1991): 243–45. http://dx.doi.org/10.1080/00401706.1991.10484821.
Stephenson, W. Robert. "Empirical Bayes Methods." Journal of Quality Technology 22, no. 3 (July 1990): 249–50. http://dx.doi.org/10.1080/00224065.1990.11979250.
Young, Karen, J. Maritz, and T. Lwin. "Empirical Bayes Methods." Applied Statistics 41, no. 3 (1992): 604. http://dx.doi.org/10.2307/2348097.
Denham, Mike, J. S. Maritz, and T. Lwin. "Empirical Bayes Methods." Statistician 39, no. 1 (1990): 97. http://dx.doi.org/10.2307/2348214.
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.
ter Beek, Maurice H., and Alessio Ferrari. "Empirical Formal Methods: Guidelines for Performing Empirical Studies on Formal Methods." Software 1, no. 4 (September 24, 2022): 381–416. http://dx.doi.org/10.3390/software1040017.
Wolstein, Benjamin. "Five Empirical Psychoanalytic Methods." Contemporary Psychoanalysis 26, no. 2 (April 1990): 237–56. http://dx.doi.org/10.1080/00107530.1990.10746657.
Laird, Nan M., and Thomas A. Louis. "Empirical Bayes Ranking Methods." Journal of Educational Statistics 14, no. 1 (March 1989): 29–46. http://dx.doi.org/10.3102/10769986014001029.
Dissertations / Theses on the topic "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.
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.
Zawadzki, Erik P. "Multiagent learning and empirical methods." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2480.
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.
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 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.
Ph.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.
Mikkola, Hennamari. "Empirical studies on Finnish hospital pricing methods /." Helsinki : Helsinki School of Economics, 2002. http://aleph.unisg.ch/hsgscan/hm00068878.pdf.
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.
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.
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.
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.
Imhof, David. "Empirical Methods for Detecting Bid-rigging Cartels." Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCB005/document.
The 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
Books on the topic "Empirical methods":
Maritz, J. S. Empirical Bayes methods. 2nd ed. London: Chapman and Hall, 1989.
Lawless, Robert M. Empirical methods in law. New York: Aspen Publishers, 2010.
Lawless, Robert M. Empirical methods in law. New York: Aspen Publishers, 2010.
Cohen, Paul R. Empirical methods for artificial intelligence. Cambridge, Ma: MIT Press, 1995.
Cohen, Paul R. Empirical methods for artificial intelligence. Cambridge, Mass: MIT Press, 1995.
Sudhoff, Stefan, Denisa Lenertova, Roland Meyer, Sandra Pappert, Petra Augurzky, Ina Mleinek, Nicole Richter, and Johannes Schließer, eds. Methods in Empirical Prosody Research. Berlin, Boston: DE GRUYTER, 2006. http://dx.doi.org/10.1515/9783110914641.
Bailey, Michael P. Empirical methods for estimating workload capacity. Monterey, Calif: Naval Postgraduate School, 1992.
1962-, Christensen H. I., and Phillips P. Jonathon, eds. Empirical evaluation methods in computer vision. Singapore: World Scientific, 2002.
Willi, Semmler, ed. Business cycles: Theory and empirical methods. Boston: Kluwer Academic Publishers, 1994.
Sadlej, Joanna. Semi-empirical methods of quantum chemistry. Chichester: Ellis Horwood, 1985.
Book chapters on the topic "Empirical methods":
Volponi, Allan J. "Empirical Methods." In Gas Turbine Parameter Corrections, 61–69. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41076-6_7.
O’Connell, Daniel C., and Sabine Kowal. "Empirical Methods." In 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.
Hult, Henrik, Filip Lindskog, Ola Hammarlid, and Carl Johan Rehn. "Empirical Methods." In 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.
Häder, Michael. "Survey Methods." In Empirical Social Research, 173–311. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-37907-0_6.
Patten, Mildred L., and Michelle Newhart. "Empirical Research." In Understanding Research Methods, 5–7. Tenth edition. | New York, NY : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315213033-3.
Patten, Mildred L., and Michelle Newhart. "Empirical Validity." In Understanding Research Methods, 129–32. Tenth edition. | New York, NY : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315213033-42.
Wu, Changbao, and Mary E. Thompson. "Empirical Likelihood Methods." In ICSA Book Series in Statistics, 161–92. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44246-0_8.
Cai, Kai-Yuan. "Empirical Regression Methods." In 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.
Knopov, Pavel S., and Evgeniya J. Kasitskaya. "Parametric Empirical Methods." In Applied Optimization, 11–70. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3567-3_2.
Szutowski, Dawid. "Empirical Research Methods." In Management Control Systems, Decision-Making, and Innovation Development, 217–56. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003215035-6.
Conference papers on the topic "Empirical methods":
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.
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.
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.
Koehn, Philipp, and Kevin Knight. "Empirical methods for compound splitting." In the tenth conference. Morristown, NJ, USA: Association for Computational Linguistics, 2003. http://dx.doi.org/10.3115/1067807.1067833.
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.
Paek, Tim. "Empirical methods for evaluating dialog systems." In the workshop. Morristown, NJ, USA: Association for Computational Linguistics, 2001. http://dx.doi.org/10.3115/1118053.1118054.
Paek, Tim. "Empirical methods for evaluating dialog systems." In the Second SIGdial Workshop. Morristown, NJ, USA: Association for Computational Linguistics, 2001. http://dx.doi.org/10.3115/1118078.1118092.
Alnatheer, Ahmed, Andrew M. Gravell, David Argles, and Lester Gilbert. "Agile Security Methods: An Empirical Investigation." In 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.
Wood, John J., Kristin L. Wood, and Wade O. Troxell. "Empirical Analysis Using Advanced Similarity Methods." In 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.
Sharma, Shelja, Veena Mittal, Ritesh Srivastava, and S. K. Singh. "Empirical Evaluation of Various Classification Methods." In 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN). IEEE, 2020. http://dx.doi.org/10.1109/icacccn51052.2020.9362773.
Reports on the topic "Empirical methods":
Glaeser, Edward. Researcher Incentives and Empirical Methods. Cambridge, MA: National Bureau of Economic Research, October 2006. http://dx.doi.org/10.3386/t0329.
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. Fort Belvoir, VA: Defense Technical Information Center, September 1992. http://dx.doi.org/10.21236/ada256856.
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.
Gu, Jiaying, and Roger Koenker. Rebayes: an R package for empirical bayes mixture methods. The IFS, August 2017. http://dx.doi.org/10.1920/wp.cem.2017.3717.
Rosati, Julie D. Functional Design of Breakwaters for Shore Protection: Empirical Methods. Fort Belvoir, VA: Defense Technical Information Center, September 1990. http://dx.doi.org/10.21236/ada228024.
Tetenov, Aleksey, and Toru Kitagawa. Who should be treated? Empirical welfare maximization methods for treatment choice. IFS, March 2015. http://dx.doi.org/10.1920/wp.cem.2015.1015.
Kitagawa, Toru, and Aleksey Tetenov. Who should be treated? Empirical welfare maximization methods for treatment choice. The IFS, May 2017. http://dx.doi.org/10.1920/wp.cem.2017.2417.
Kunsberg, P. Citizen advisory boards: An empirical model for choosing goals and methods. Office of Scientific and Technical Information (OSTI), December 1994. http://dx.doi.org/10.2172/543603.
Malde, Bansi, and Arun Advani. Empirical methods for networks data: social effects, network formation and measurement error. IFS, December 2014. http://dx.doi.org/10.1920/wp.ifs.2014.1434.
Jagannathan, Ravi, and Zhenyu Wang. Empirical Evaluation of Asset Pricing Models: A Comparison of the SDF and Beta Methods. Cambridge, MA: National Bureau of Economic Research, January 2001. http://dx.doi.org/10.3386/w8098.