Bibliografias temáticas / Statistical methods

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Literatura científica selecionada sobre o tema "Statistical methods"

Autor: Grafiati
Publicado: 4 de junho de 2021
Última modificação: 25 de julho de 2025

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Artigos de revistas sobre o assunto "Statistical methods"

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Williams, William A., George W. Snedecor, William G. Cochran, and D. F. Cox. "Statistical Methods." Journal of the American Statistical Association 86, no. 415 (1991): 834. http://dx.doi.org/10.2307/2290435.

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Barrett, Linda, R. J. Freund, and W. J. Wilson. "Statistical Methods." American Statistician 51, no. 3 (1997): 296. http://dx.doi.org/10.2307/2684912.

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Kasparek, Linda, Rudolph J. Freund, and William J. Wilson. "Statistical Methods." American Statistician 48, no. 1 (1994): 59. http://dx.doi.org/10.2307/2685092.

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Jones, Peter W. "Statistical Methods." Technometrics 33, no. 1 (1991): 114. http://dx.doi.org/10.1080/00401706.1991.10484783.

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Wong, Aldous. "Statistical Methods." Technometrics 36, no. 2 (1994): 222. http://dx.doi.org/10.1080/00401706.1994.10485777.

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Farnum, Nicholas R. "Statistical Methods." Journal of Quality Technology 22, no. 3 (1990): 252–53. http://dx.doi.org/10.1080/00224065.1990.11979254.

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Wisniewski, Mik, R. J. Freund, and W. J. Wilson. "Statistical Methods." Statistician 43, no. 1 (1994): 209. http://dx.doi.org/10.2307/2348952.

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Jones, Douglas H., George W. Snedecor, and William G. Cochran. "Statistical Methods." Journal of Educational and Behavioral Statistics 19, no. 3 (1994): 304. http://dx.doi.org/10.2307/1165300.

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G.W.A.D. "Statistical methods." Microelectronics Reliability 33, no. 1 (1993): 106. http://dx.doi.org/10.1016/0026-2714(93)90050-9.

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Obuchowski, Nancy A. "Multivariate Statistical Methods." American Journal of Roentgenology 185, no. 2 (2005): 299–309. http://dx.doi.org/10.2214/ajr.185.2.01850299.

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Teses / dissertações sobre o assunto "Statistical methods"

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Bai, Yang, and 柏楊. "Statistical analysis for longitudinal data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B42841756.

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Young, G. A. "Data-based statistical methods." Thesis, University of Cambridge, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383307.

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Bridges, M. "Statistical methods in cosmology." Thesis, University of Cambridge, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.596904.

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We outline the application of a new method of evidence calculation called nested sampling Skilling (2004). We use a clustered ellipsoidal bound to restrict the parameter space sampled, that is generic enough to be used for even complex multimodal posteriors. We demonstrate our algorithms, COSMOCLUST makes important savings in computational time when compared with previous methods. The study of the primordial power spectrum, which seeded the structure formation observed in both the CMB and large scale structure, is crucial in unravelling early universe physics.  In this thesis we analyse a numb
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Okasha, Mahmoud Khaled Mohamed. "Statistical methods in dendrochronology." Thesis, University of Sheffield, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295760.

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Muncey, Harriet Jane. "Statistical methods in metabolomics." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/24877.

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Metabolomics lies at the fulcrum of the system biology 'omics'. Metabolic profiling offers researchers new insight into genetic and environmental interactions, responses to pathophysi- ological stimuli and novel biomarker discovery. Metabolomics lacks the simplicity of a single data capturing technique; instead, increasingly sophisticated multivariate statistical techniques are required to tease out useful metabolic features from various complex datasets. In this work, two major metabolomics methods are examined: Nuclear Magnetic Resonance (NMR) Spec- troscopy and Liquid Chromatography-Mass Sp
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Kouba, Pavel. "Možnost zavedení a využívání metody SPC ve výrobě v organizaci s.n.o.p CZ, a.s." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-16319.

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The diploma paper is devoted to verification the application of SPC methods and performs evaluation of statistical stability and process eligibility of steel stampings in the real production process. In the second part is the author of the paper trying to design the optimal form of SPC methods for its use in a specified manufacturing process.
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Postler, Štěpán. "Statistická analýza ve webovém prostředí." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-199226.

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The aim of this thesis is creating a web application that allows dataset import and analyzing data with use of statistical methods. The application uses a user access that allows multiple number of persons manipulate with a single dataset, as well as interact with each other. Data is stored on a remote server and application is accessible from any computer that is connected to the Internet. The application is created in PHP programming language with use of MySQL database system, and user interface is built in HTML language with use of CSS styles. All parts of application are stored on an attac
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Corrado, Charles J. "Nonparametric statistical methods in financial market research." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184608.

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This dissertation presents an exploration of the use of nonparametric statistical methods based on ranks for use in financial market research. Applications to event study methodology and the estimation of security systematic risk are analyzed using a simulation methodology with actual daily security return data. The results indicate that procedures based on ranks are more efficient than normal theory procedures currently in common use.
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Sezgin, Ozge. "Statistical Methods In Credit Rating." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607625/index.pdf.

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Credit risk is one of the major risks banks and financial institutions are faced with. With the New Basel Capital Accord, banks and financial institutions have the opportunity to improve their risk management process by using Internal Rating Based (IRB) approach. In this thesis, we focused on the internal credit rating process. First, a short overview of credit scoring techniques and validation techniques was given. By using real data set obtained from a Turkish bank about manufacturing firms, default prediction logistic regression, probit regression, discriminant analysis and classification a
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Jung, Min Kyung. "Statistical methods for biological applications." [Bloomington, Ind.] : Indiana University, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3278454.

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Thesis (Ph.D.)--Indiana University, Dept. of Mathematics, 2007.<br>Source: Dissertation Abstracts International, Volume: 68-10, Section: B, page: 6740. Adviser: Elizabeth A. Housworth. Title from dissertation home page (viewed May 20, 2008).
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Mais fontes

Livros sobre o assunto "Statistical methods"

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Saville, David J., and Graham R. Wood. Statistical Methods. Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4612-0747-4.

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1940-, Wilson William J., ed. Statistical methods. Academic Press, 1993.

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Freund, Rudolf Jakob. Statistical methods. Academic Press, 1997.

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Open University. Statistical Methods Course Team., ed. Statistical methods. Open University Press, 1987.

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Snedecor, George Waddel. Statistical methods. 8th ed. Iowa State University Press, 1989.

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Standardization, International Organization for. Statistical methods. 3rd ed. International Organization for Standardization, 1989.

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J, Wilson William, and Mohr Donna L, eds. Statistical methods. 3rd ed. Elsevier, 2010.

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1940-, Wilson William J., ed. Statistical methods. 2nd ed. Academic Press, 2003.

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Terdik, György. Multivariate Statistical Methods. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81392-5.

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Hanagal, David D., Raosaheb V. Latpate, and Girish Chandra, eds. Applied Statistical Methods. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7932-2.

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Capítulos de livros sobre o assunto "Statistical methods"

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Wehenkel, Louis A. "Statistical Methods." In Automatic Learning Techniques in Power Systems. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5451-6_3.

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Nendza, Monika. "Statistical methods." In Structure—Activity Relationships in Environmental Sciences. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5805-7_4.

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Rizzi, Chiara. "Statistical Methods." In Springer Theses. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52877-5_6.

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Platen, Eckhard, and David Heath. "Statistical Methods." In A Benchmark Approach to Quantitative Finance. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-47856-0_2.

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Salomon, David. "Statistical Methods." In Data Compression. Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4757-2939-9_2.

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Salomon, David. "Statistical Methods." In Data Compression. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-86092-8_3.

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Salomon, David, and Giovanni Motta. "Statistical Methods." In Handbook of Data Compression. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-903-9_5.

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Sullivan, Rob. "Statistical Methods." In Introduction to Data Mining for the Life Sciences. Humana Press, 2011. http://dx.doi.org/10.1007/978-1-59745-290-8_6.

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Vidal, René, Yi Ma, and S. Shankar Sastry. "Statistical Methods." In Interdisciplinary Applied Mathematics. Springer New York, 2016. http://dx.doi.org/10.1007/978-0-387-87811-9_6.

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Salomon, David. "Statistical Methods." In A Guide to Data Compression Methods. Springer New York, 2002. http://dx.doi.org/10.1007/978-0-387-21708-6_2.

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Trabalhos de conferências sobre o assunto "Statistical methods"

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Jones, Peter, Kay Lipson, and Brian Phillips. "A role for computer intensive methods in introducing statistical inference." In Proceedings of the First Scientific Meeting of the IASE. International Association for Statistical Education, 1993. http://dx.doi.org/10.52041/srap.93311.

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Introductory statistics courses have become increasingly prevalent in a wide variety of undergraduate and graduate programs over the past few years. This has resulted in the study of inferential statistics becoming the norm rather than exception. Whilst statistics was once a course chosen by the more mathematically able student, many current students of statistics have little mathematical aptitude or expertise (Tanis, 1992 for example). As a result, many introductory statistic courses have moved away from including much of the statistical theory that underpins inference to become basically tec
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Kitchenham, Barbara. "Robust statistical methods." In EASE '15: 19th International Conference on Evaluation and Assessment in Software Engineering. ACM, 2015. http://dx.doi.org/10.1145/2745802.2747956.

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Rossi, Nicola, and Meho-Saša Kovačević. "Statistical methods in geotechnics." In 4th Symposium on Doctoral Studies in Civil Engineering. University of Zagreb Faculty of Civil Engineering, 2018. http://dx.doi.org/10.5592/co/phdsym.2018.03.

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Kameneva, Svetlana Vladimirovna. "STATISTICAL METHODS IN ARCHAEOLOGY." In IV Международная научно-практическая конференция "Научные исследования и инновации". KDU, Moscow, 2021. http://dx.doi.org/10.31453/kdu.ru.978-5-7913-1168-9-2021-6-17.

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The use of statistical methods in the analysis of archaeological problems is an effective interdisciplinary approach. The article briefly describes the chronology using of statistical methods in archaeology, provides examples using of basic statistical methods in the analysis of the ceramic ornament the Zmeisky settlement in North Ossetia and more modern archaeological finds made by the Azov archaeological expedition in the Krasnodar region.
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Julie, Hongki. "Application of pedagogy reflective in statistical methods course and practicum statistical methods." In INTERNATIONAL CONFERENCE ON MATHEMATICS: PURE, APPLIED AND COMPUTATION: Empowering Engineering using Mathematics. Author(s), 2017. http://dx.doi.org/10.1063/1.4994429.

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Swendsen, Robert H. "Acceleration and analysis methods in statistical physics." In Computer-aided statistical physics. AIP, 1992. http://dx.doi.org/10.1063/1.41937.

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Budgett, Stephanie, and Maxine Pfannkuch. "Assessing students’ statistical literacy." In Assessing Student Learning in Statistics. International Association for Statistical Education, 2007. http://dx.doi.org/10.52041/srap.07201.

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This paper describes the methods and challenges in assessing an undergraduate course entitled Lies, Damned Lies, and Statistics. The course has three main aims: to instill in students the ability to “think statistically”, to enable students to critically evaluate statistically based reports and to teach students to construct statistically sound reports. The assessment is examined in terms of these aims and the criteria developed by Gal (2002) for statistical literacy.
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Napieralski, Jan Andrzej. "Statistical methods for data prediction." In 2016 XII International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH). IEEE, 2016. http://dx.doi.org/10.1109/memstech.2016.7507532.

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Miller, S. R. "Statistical Tolerance Methods For Manufacturing." In Electro International, 1991. IEEE, 1991. http://dx.doi.org/10.1109/electr.1991.718225.

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"Session 6C: Statistical Timing Methods." In ICCAD 2004. International Conference on Computer Aided Design. IEEE, 2004. http://dx.doi.org/10.1109/iccad.2004.1382620.

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Relatórios de organizações sobre o assunto "Statistical methods"

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Black, Paul E. Formal methods for statistical software. National Institute of Standards and Technology, 2019. http://dx.doi.org/10.6028/nist.ir.8274.

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Nelson, David O. Statistical methods in physical mapping. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/95181.

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Banks, David, William Dashiell, Leonard Gallagher, Charles Hagwood, Raghu Kacker, and Lynne Rosenthal. Software testing by statistical methods:. National Institute of Standards and Technology, 1998. http://dx.doi.org/10.6028/nist.ir.6129.

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Dorigo, Tommaso. Statistical Methods for Fundamental Science. Instats Inc., 2023. http://dx.doi.org/10.61700/tr03is3us8wzp469.

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This 5-day workshop, taught by renowned CERN physicist Tommaso Dorigo, is designed to equip PhD students, professors, and professional researchers with the skills to apply optimal statistical methods in any scientific field. The workshop covers the crucial topics necessary for researchers to avoid typical mistakes in statistical analysis and produce effective statistical inference, enabling you to extract more information from the same data than your peers. The course also provides an introduction to machine learning, offering a solid foundation in powerful statistical methods for all discipli
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Silverman, B. W., and C. Jennison. Statistical Smoothing Methods: Some Practical Aspects. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada193724.

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Silverman, B. W., and C. Jennison. Statistical Smoothing Methods: Some Practical Aspects. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada193737.

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Silverman, B. W., and C. Jennison. Statistical Smoothing Methods: Some Practical Aspects. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada193738.

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Silverman, B. W., and C. Jennison. Statistical Smoothing Methods: Some Practical Aspects. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada195671.

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Fink, Eugene. Statistical Selection Among Problem-Solving Methods. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada327284.

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MacDonald, Jacqueline A., and Mitchell J. Small. Statistical Methods for UXO Pattern Recognition. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada603920.

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