Academic literature on the topic 'Statistical Theory'

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Journal articles on the topic "Statistical Theory"

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Scheaffer, Richard L., and Bernard W. Lindgren. "Statistical Theory." Journal of the American Statistical Association 89, no. 426 (1994): 711. http://dx.doi.org/10.2307/2290878.

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Lindgren, B. W. "Statistical Theory." Biometrics 51, no. 1 (1995): 387. http://dx.doi.org/10.2307/2533367.

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Lubinsky, David J. "Integrating statistical theory with statistical databases." Annals of Mathematics and Artificial Intelligence 2, no. 1-4 (1990): 245–59. http://dx.doi.org/10.1007/bf01531010.

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Anroch, Jaromir, Johan Pfanzagl, and R. Hamboker. "Parametric Statistical Theory." Journal of the American Statistical Association 91, no. 433 (1996): 438. http://dx.doi.org/10.2307/2291434.

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Sackrowitz, Harold. "Statistical Decision Theory." Journal of the American Statistical Association 98, no. 462 (2003): 492. http://dx.doi.org/10.1198/jasa.2003.s274.

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Parisi, Giorgio, and Ramamurti Shankar. "Statistical Field Theory." Physics Today 41, no. 12 (1988): 110. http://dx.doi.org/10.1063/1.2811677.

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Wu, Yuhai. "Statistical Learning Theory." Technometrics 41, no. 4 (1999): 377–78. http://dx.doi.org/10.1080/00401706.1999.10485951.

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Parisi, Giorgio, and Jonathan Machta. "Statistical Field Theory." American Journal of Physics 57, no. 3 (1989): 286–87. http://dx.doi.org/10.1119/1.16061.

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Leemis, Lawrence. "Statistical Reliability Theory." Journal of Quality Technology 22, no. 1 (1990): 84–85. http://dx.doi.org/10.1080/00224065.1990.11979217.

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Bishop, R. F. "Statistical field theory." Contemporary Physics 30, no. 2 (1989): 137–40. http://dx.doi.org/10.1080/00107518908225513.

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Dissertations / Theses on the topic "Statistical Theory"

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Liang, Annie. "Economic Theory and Statistical Learning." Thesis, Harvard University, 2016. http://nrs.harvard.edu/urn-3:HUL.InstRepos:33493561.

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This dissertation presents three independent essays in microeconomic theory. Chapter 1 suggests an alternative to the common prior assumption, in which agents form beliefs by learning from data, possibly interpreting the data in different ways. In the limit as agents observe increasing quantities of data, the model returns strict solutions of a limiting complete information game, but predictions may diverge substantially for small quantities of data. Chapter 2 (with Jon Kleinberg and Sendhil Mullainathan) proposes use of machine learning algorithms to construct benchmarks for “achievable" pred
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Lu, Adonis. "Statistical Theory Through Differential Geometry." Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/cmc_theses/2181.

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This thesis will take a look at the roots of modern-day information geometry and some applications into statistical modeling. In order to truly grasp this field, we will first provide a basic and relevant introduction to differential geometry. This includes the basic concepts of manifolds as well as key properties and theorems. We will then explore exponential families with applications of probability distributions. Finally, we select a few time series models and derive the underlying geometries of their manifolds.
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Leroux, Brian Gilbert. "Likelihood ratios in asymptotic statistical theory." Thesis, University of British Columbia, 1985. http://hdl.handle.net/2429/24843.

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This thesis deals with two topics in asymptotic statistics. A concept of asymptotic optimality for sequential tests of statistical hypotheses is introduced. Sequential Probability Ratio Tests are shown to have asymptotic optimality properties corresponding to their usual optimality properties. Secondly, the asymptotic power of Pearson's chi-square test for goodness of fit is derived in a new way. The main tool for evaluating asymptotic performance of tests is the likelihood ratio of two hypotheses. In situations examined here the likelihood ratio based on a sample of size ⁿ has a limiting dis
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Rasmussen, H. O. "The statistical theory of stationery turbulence." Thesis, University of Cambridge, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.363346.

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Thomas, Kuryan. "A statistical theory of the epilepsies." Diss., Virginia Polytechnic Institute and State University, 1988. http://hdl.handle.net/10919/87673.

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A new physical and mathematical model for the epilepsies is proposed, based on the theory of bond percolation on finite lattices. Within this model, the onset of seizures in the brain is identified with the appearance of spanning clusters of neurons engaged in the spurious and uncontrollable electrical activity characteristic of seizures. It is proposed that the fraction of excitatory to inhibitory synapses can be identified with a bond probability, and that the bond probability is a randomly varying quantity displaying Gaussian statistics. The consequences of the proposed model to the treatme
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Lee, Yun-Soo. "On some aspects of distribution theory and statistical inference involving order statistics." Virtual Press, 1991. http://liblink.bsu.edu/uhtbin/catkey/834141.

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Statistical methods based on nonparametric and distribution-free procedures require the use of order statistics. Order statistics are also used in many parametric estimation and testing problems. With the introduction of modern high speed computers, order statistics have gained more importance in recent years in statistical inference - the main reason being that ranking a large number of observations manually was difficult and time consuming in the past, which is no longer the case at present because of the availability of high speed computers. Also, applications of order statistics require in
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Grigo, Alexander. "Billiards and statistical mechanics." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29610.

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Thesis (Ph.D)--Mathematics, Georgia Institute of Technology, 2009.<br>Committee Chair: Bunimovich, Leonid; Committee Member: Bonetto, Federico; Committee Member: Chow, Shui-Nee; Committee Member: Cvitanovic, Predrag; Committee Member: Weiss, Howard. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Jeng, Tian-Tzer. "Some contributions to asymptotic theory on hypothesis testing when the model is misspecified /." The Ohio State University, 1987. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487332636473942.

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Weston, Robert Andrew. "Lattice field theory and statistical-mechanical models." Thesis, University of Cambridge, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315971.

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Jiang, Xiao. "Contributions to statistical distribution theory with applications." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/contributions-to-statistical-distribution-theory-with-applications(fa612f53-1950-48c2-9cdf-135b2d145587).html.

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The whole thesis contains 10 chapters. Chapter 1 is the introductory chapter of my thesis and the main contributions are presented in Chapter 2 through to Chapter 9. Chapter 10 is the conclusion chapter. These chapters are motivated by applications to new and existing problems in finance, healthcare, sports, and telecommunications. In recent years, there has been a surge in applications of generalized hyperbolic distributions in finance. Chapter 2 provides a review of generalized hyperbolic and related distributions, including related programming packages. A real data application is presented
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Books on the topic "Statistical Theory"

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Lindgren, B. W. Statistical theory. 4th ed. Chapman & Hall, 1993.

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Vapnik, Vladimir Naumovich. Statistical learning theory. Wiley, 1998.

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Longford, Nicholas T. Statistical Decision Theory. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40433-7.

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Jean-Michel, Drouffe, ed. Statistical field theory. CUP, 1992.

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Itzykson, Claude. Statistical field theory. Cambridge University Press, 1989.

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Simon, French. Statistical decision theory. Arnold, 2000.

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Pfanzagl, J. Parametric statistical theory. W. de Gruyter, 1994.

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Parisi, Giorgio. Statistical field theory. Perseus Books, 1998.

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Gert͡sbakh, I. B. Statistical reliability theory. M. Dekker, 1989.

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Jean-Michel, Drouffe, ed. Statistical field theory. Cambridge University Press, 1989.

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Book chapters on the topic "Statistical Theory"

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Farebrother, Richard William. "Statistical Theory." In L1-Norm and L∞-Norm Estimation. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36300-9_5.

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Burnham, Kenneth P., and David R. Anderson. "Statistical Theory." In Model Selection and Inference. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4757-2917-7_6.

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Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. "Statistical theory." In Distance Sampling. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1572-8_3.

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Buckland, S. T., D. R. Anderson, K. P. Burnham, and J. L. Laake. "Statistical theory." In Distance Sampling. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1574-2_3.

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Schumacker, Randall, and Sara Tomek. "Statistical Theory." In Understanding Statistics Using R. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-6227-9_3.

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Casella, George, and Roger L. Berger. "Probability Theory." In Statistical Inference, 2nd ed. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003456285-1.

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Luscombe, James H. "Ensemble theory." In Statistical Mechanics. CRC Press, 2021. http://dx.doi.org/10.1201/9781003139669-4.

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Luscombe, James H. "Probability theory." In Statistical Mechanics. CRC Press, 2021. http://dx.doi.org/10.1201/9781003139669-3.

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Berger, James O. "Statistical Decision Theory." In Game Theory. Palgrave Macmillan UK, 1989. http://dx.doi.org/10.1007/978-1-349-20181-5_26.

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Bongaarts, Peter. "Quantum Statistical Physics." In Quantum Theory. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09561-5_11.

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Conference papers on the topic "Statistical Theory"

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Oneto, Luca, Sandro Ridella, Andrea Coraddu, and Davide Anguita. "Reconciling Grokking with Statistical Learning Theory." In ESANN 2025. Ciaco - i6doc.com, 2025. https://doi.org/10.14428/esann/2025.es2025-10.

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Sefidgaran, Milad, Abdellatif Zaidi, and Piotr Krasnowski. "Minimal Communication-Cost Statistical Learning." In 2024 IEEE International Symposium on Information Theory (ISIT). IEEE, 2024. http://dx.doi.org/10.1109/isit57864.2024.10619653.

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Zhou, Lin, Qianyun Wang, Jingjing Wang, Lin Bai, and Alfred Hero. "Large Deviations for Statistical Sequence Matching." In 2024 IEEE International Symposium on Information Theory (ISIT). IEEE, 2024. http://dx.doi.org/10.1109/isit57864.2024.10619312.

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Wu, F. Y. "Knot theory and statistical mechanics." In Computer-aided statistical physics. AIP, 1992. http://dx.doi.org/10.1063/1.41949.

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Gibbs, Alison L., and Alex Stringer. "The Fundamental Role of Computation in Teaching Statistical Theory." In IASE 2021 Satellite Conference: Statistics Education in the Era of Data Science. International Association for Statistical Education, 2022. http://dx.doi.org/10.52041/iase.rmcxl.

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What skills, knowledge and habits of mind does a statistician require in order to contribute effectively as an inhabitant of the data science ecosystem? We describe a new course in statistical theory that was developed as part of our consideration of this question. The course is a core requirement in a new curriculum for undergraduate students enrolled in statistics programs of study. Problem solving and critical thinking are developed through both mathematical and computational thinking and all ideas are motivated through questions to be answered from large, open and messy data. Central to th
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Khrennikov, Andrei, Guillaume Adenier, Andrei Yu Khrennikov, Pekka Lahti, Vladimir I. Man'ko, and Theo M. Nieuwenhuizen. "Prequantum Classical Statistical Field Theory—PCSFT." In Quantum Theory. AIP, 2007. http://dx.doi.org/10.1063/1.2827293.

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Helland, Inge S. "Quantum theory as a statistical theory under symmetry." In FOUNDATIONS OF PROBABILITY AND PHYSICS - 3. AIP, 2005. http://dx.doi.org/10.1063/1.1874567.

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Bazhanov, V. V., and C. J. Burden. "Statistical Mechanics and Field Theory." In Seventh Physics Summer School. WORLD SCIENTIFIC, 1995. http://dx.doi.org/10.1142/9789814532280.

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DeLoach, Richard, and Norbert M. Ulbrich. "A Statistical Theory of Bidirectionality." In AIAA Ground Testing Conference. American Institute of Aeronautics and Astronautics, 2013. http://dx.doi.org/10.2514/6.2013-2995.

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Hsu, Hung-Wei, and I.-Hsiang Wang. "On Binary Statistical Classification from Mismatched Empirically Observed Statistics." In 2020 IEEE International Symposium on Information Theory (ISIT). IEEE, 2020. http://dx.doi.org/10.1109/isit44484.2020.9174520.

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Reports on the topic "Statistical Theory"

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Basu, Asit P. Statistical Theory and Reliability. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada288519.

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Basu, Asit P. Statistical Theory and Reliability. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada295494.

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Basu, Asit P. Statistical Theory of Reliability. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada215320.

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Moody, John. Statistical Learning Theory and Algorithms. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada270209.

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Batchelder, William H. Statistical Inference for Cultural Consensus Theory. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada605989.

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Tetenov, Aleksey. An economic theory of statistical testing. The IFS, 2016. http://dx.doi.org/10.1920/wp.cem.2016.5016.

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Anderson, Richard G., Barry Jones, and Travis Nesmith. Monetary Aggregation Theory and Statistical Index Numbers. Federal Reserve Bank of St. Louis, 1996. http://dx.doi.org/10.20955/wp.1996.007.

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Kashiwa, B. Statistical theory of turbulent incompressible multimaterial flow. Office of Scientific and Technical Information (OSTI), 1987. http://dx.doi.org/10.2172/6009875.

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Batchelder, William H. Statistical Development and Application of Cultural Consensus Theory. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada578264.

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Walston, S. The Idiot's Guide to the Statistical Theory of Fission Chains. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/966899.

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