Добірка наукової літератури з теми "Correlation analysis"

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Статті в журналах з теми "Correlation analysis"

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Hamdamov, Ahad Hamroyevich, Alimardon Toxir o'g'li To'rayev, and O'g'iloy Norpo'lat qizi Shamsiyeva. "Statistical Analysis of the Relationship Between Speed and Stopping Distance in Transportation Movements." Multidisciplinary Journal of Science and Technology 5, no. 2 (2025): 818–25. https://doi.org/10.5281/zenodo.14942327.

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This article explores the statistical relationship between speed and stopping distance in transportation movements. The study aims to analyze how variations in vehicle speed influence the distance required to bring a vehicle to a complete stop. Using real-world data, various statistical methods, such as regression analysis, were applied to determine the strength and nature of the correlation. The findings suggest that the stopping distance increases significantly with speed, highlighting the importance of safe driving practices and road design in minimizing accidents. The results also provide
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Bolshakova, Lyudmila Valentinovna. "Correlation and Regression Analysis of Economic Problems." Revista Gestão Inovação e Tecnologias 11, no. 3 (2021): 2077–88. http://dx.doi.org/10.47059/revistageintec.v11i3.2074.

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NAOKO, Fujii. "LECTURE: Correlation Analysis." Journal of exercise physiology 6, no. 3 (1991): 127–32. http://dx.doi.org/10.1589/rika1986.6.127.

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Strack, Rita. "Comprehensive correlation analysis." Nature Methods 16, no. 1 (2018): 25. http://dx.doi.org/10.1038/s41592-018-0279-5.

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Mazuruse, Peter. "Canonical correlation analysis." Journal of Financial Economic Policy 6, no. 2 (2014): 179–96. http://dx.doi.org/10.1108/jfep-09-2013-0047.

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Purpose – The purpose of this paper was to construct a canonical correlation analysis (CCA) model for the Zimbabwe stock exchange (ZSE). This paper analyses the impact of macroeconomic variables on stock returns for the Zimbabwe Stock Exchange using the canonical correlation analysis (CCA). Design/methodology/approach – Data for the independent (macroeconomic) variables and dependent variables (stock returns) were extracted from secondary sources for the period from January 1990 to December 2008. For each variable, 132 sets of data were collected. Eight top trading companies at the ZSE were se
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Stephenson, Peter. "Analysis and Correlation." Computer Fraud & Security 2002, no. 12 (2002): 16–18. http://dx.doi.org/10.1016/s1361-3723(02)01214-9.

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Chen, Xiaohong, Songcan Chen, and Hui Xue. "Large correlation analysis." Applied Mathematics and Computation 217, no. 22 (2011): 9041–52. http://dx.doi.org/10.1016/j.amc.2011.03.117.

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Faltermeier, Rupert, Martin A. Proescholdt, Sylvia Bele, and Alexander Brawanski. "Parameter Optimization for Selected Correlation Analysis of Intracranial Pathophysiology." Computational and Mathematical Methods in Medicine 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/652030.

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Recently we proposed a mathematical tool set, called selected correlation analysis, that reliably detects positive and negative correlations between arterial blood pressure (ABP) and intracranial pressure (ICP). Such correlations are associated with severe impairment of the cerebral autoregulation and intracranial compliance, as predicted by a mathematical model. The time resolved selected correlation analysis is based on a windowing technique combined with Fourier-based coherence calculations and therefore depends on several parameters. For real time application of this method at an ICU it is
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BEREZKA, Kateryna, Oksana BASHUTSKA, Nataliya NAVOLSKA, and Vasil MELNYCHENKO. "ANALYSIS OF STUDENT PERFORMANCE BASED ON CANONICAL CORRELATION ANALYSIS." Computer systems and information technologies, no. 1 (March 27, 2025): 79–87. https://doi.org/10.31891/csit-2025-1-10.

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The article examines the application of Canonical Correlation Analysis (CCA) to investigate the relationships between student performance outcomes across different groups of disciplines. The disciplines were categorized into the following groups: mathematics, programming and algorithms, systems design, networks and distributed systems, applied software and technologies, and economic and managerial disciplines. The study aims to identify dependencies between these discipline groups that influence overall academic performance. The analysis revealed that discrete mathematics plays a key role in s
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Holmes, R. B. "On Random Correlation Matrices." SIAM Journal on Matrix Analysis and Applications 12, no. 2 (1991): 239–72. http://dx.doi.org/10.1137/0612019.

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Дисертації з теми "Correlation analysis"

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Bhatta, Sanjeev. "Conditional Correlation Analysis." Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1495963166600514.

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Orvalho, André. "Botnet Detection by Correlation Analysis." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-105096.

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When a bot master uses a control and commander (C&C) mechanism to assemble a large number of bots, infecting them by using well known vulnerabilities, it forms a botnet. Botnets can vary in C&C architecture (Centralized C&C or P2P are the most common), communication protocols used (IRC, HTTP or others like P2P) and observable botnet activities. They are nowadays one of the largest threats on cyber security and it is very important to specify the different characteristics of botnets in order to detect them, the same way a hunter needs to know its prey before preparing methods to cat
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Rossi, Claudio Alexander. "Empirical Analysis of Implied Equity Correlation." St. Gallen, 2009. http://www.biblio.unisg.ch/org/biblio/edoc.nsf/wwwDisplayIdentifier/01653419003/$FILE/01653419003.pdf.

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Lai, Pei Ling. "Neural implementations of canonical correlation analysis." Thesis, University of the West of Scotland, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311771.

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Droop, Alastair Philip. "Correlation Analysis of Multivariate Biological Data." Thesis, University of York, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.507622.

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Chiari, Diana Elisa. "Network identification via multivariate correlation analysis." Doctoral thesis, Università degli studi di Trento, 2019. https://hdl.handle.net/11572/368752.

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In this thesis an innovative approach to assess connectivity in a complex network was proposed. In network connectivity studies, a major problem is to estimate the links between the elements of a system in a robust and reliable way. To address this issue, a statistical method based on Pearson’s correlation coefficient was proposed. The former inherits the versatility of the latter, declined in a general applicability to any kind of system and the capability to evaluate cross–correlation of time series pairs both simultaneously and at different time lags. In addition, our method has an incr
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Chiari, Diana Elisa. "Network identification via multivariate correlation analysis." Doctoral thesis, University of Trento, 2019. http://eprints-phd.biblio.unitn.it/3773/1/PhDThesis_tosend.pdf.

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Анотація:
In this thesis an innovative approach to assess connectivity in a complex network was proposed. In network connectivity studies, a major problem is to estimate the links between the elements of a system in a robust and reliable way. To address this issue, a statistical method based on Pearson’s correlation coefficient was proposed. The former inherits the versatility of the latter, declined in a general applicability to any kind of system and the capability to evaluate cross–correlation of time series pairs both simultaneously and at different time lags. In addition, our method has an increase
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Samarov, Daniel V. Marron James Stephen. "The analysis and advanced extensions of canonical correlation analysis." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2009. http://dc.lib.unc.edu/u?/etd,2205.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2009.<br>Title from electronic title page (viewed Jun. 26, 2009). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Statistics and Operations Research." Discipline: Statistics and Operations Research; Department/School: Statistics and Operations Research.
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Nicovich, Philip R. "Widefield fluorescence correlation spectroscopy." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/33849.

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Fluorescence correlation spectroscopy has become a standard technique for modern biophysics and single molecule spectroscopy research. Here is presented a novel widefield extension of the established single-point technique. Flow in microfluidic devices was used as a model system for microscopic motion and through widefield fluorescence correlation spectroscopy flow profiles were mapped in three dimensions. The technique presented is shown to be more tolerant to low signal strength, allowing image data with signal-to-noise values as low as 1.4 to produce accurate flow maps as well as utilizi
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Gou, Zhenkun. "Canonical correlation analysis and artificial neural networks." Thesis, University of the West of Scotland, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269409.

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Книги з теми "Correlation analysis"

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Vogt, W., and R. Johnson. Correlation and Regression Analysis. SAGE Publications Ltd, 2012. http://dx.doi.org/10.4135/9781446286104.

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Green, Vivian. Correlation analysis, Tambon Wawi. Thai-German Highland Development Programme, 1991.

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Nevada. Division of Water Planning., ed. Churchill County correlation analysis: Correlation analysis of Churchill County's primary economic indicators. Division of Water Planning, 1992.

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4

1944-, Kaplan Lawrence A., Pesce Amadeo J, and Kazmierczak Steven C, eds. Clinical chemistry: Theory, analysis, correlation. 4th ed. Mosby, 2003.

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1944-, Kaplan Lawrence A., and Pesce Amadeo J, eds. Clinical chemistry: Theory, analysis, correlation. 5th ed. Mosby/Elsevier, 2010.

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6

Pawlowsky-Glahn, Vera. Compositional data analysis: Theory and applications. Wiley, 2011.

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Benesty, Jacob, and Israel Cohen. Canonical Correlation Analysis in Speech Enhancement. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-67020-1.

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A, Turovsky A., and Zaikov Gennadiĭ Efremovich, eds. Correlation analysis in chemistry of solutions. VSP, 2004.

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1944-, Kaplan Lawrence A., and Pesce Amadeo J, eds. Clinical chemistry: Theory, analysis, and correlation. 3rd ed. Mosby, 1996.

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1944-, Kaplan Lawrence A., and Pesce Amadeo J, eds. Clinical chemistry: Theory, analysis, and correlation. 2nd ed. Mosby, 1989.

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Частини книг з теми "Correlation analysis"

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L. Jockers, Matthew, and Rosamond Thalken. "Correlation." In Text Analysis with R. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39643-5_6.

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Bolin, Jocelyn H. "Correlation." In Regression Analysis in R. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9780429295843-2.

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Ma, Y. Z. "Correlation Analysis." In Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17860-4_4.

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Filzmoser, Peter, Karel Hron, and Matthias Templ. "Correlation Analysis." In Springer Series in Statistics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96422-5_8.

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Mat Roni, Saiyidi, Margaret Kristin Merga, and Julia Elizabeth Morris. "Analysis: Correlation." In Conducting Quantitative Research in Education. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9132-3_7.

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Sahu, Pradip Kumar. "Correlation Analysis." In Applied Statistics for Agriculture, Veterinary, Fishery, Dairy and Allied Fields. Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2831-8_7.

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He, Xindong. "Correlation Analysis." In Geographic Data Analysis Using R. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4022-2_3.

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Da Costa Lewis, Nigel. "Correlation Analysis." In Energy Risk Modeling. Palgrave Macmillan UK, 2005. http://dx.doi.org/10.1057/9780230523784_7.

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Kido, Ken’iti. "Correlation." In Digital Fourier Analysis: Advanced Techniques. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1127-1_2.

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Gerbing, David W. "Correlation." In R Data Analysis without Programming, 2nd ed. Routledge, 2023. http://dx.doi.org/10.4324/9781003278412-10.

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Тези доповідей конференцій з теми "Correlation analysis"

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Sakhnovskiy, Mykhaylo, Yuriy Ushenko, L. Kushnerik, I. V. Soltys, N. Pavlyukovich, and O. Pavlyukovich. "Wavelet analysis of birefringence images of myocardium tissue." In Correlation Optics 2017, edited by Oleg V. Angelsky. SPIE, 2018. http://dx.doi.org/10.1117/12.2305333.

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Tscharauter, Walther W. "Mobility measurements by Phase Analysis." In Photon Correlation and Scattering. OSA, 2000. http://dx.doi.org/10.1364/pcs.2000.ma3.

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Ushenko, O. G., A. V. Dubolazov, V. O. Balanets'ka, A. V. Karachevtsev, and M. Sydor. "Wavelet analysis for polarization inhomogeneous laser images of blood plasma." In Correlation Optics 2011, edited by Oleg V. Angelsky. SPIE, 2011. http://dx.doi.org/10.1117/12.920169.

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Penttinen, Niko, Stanislav Hason, Ludek Joska, Ladislav Cvrcek, and Raimo Silvennoinen. "On the analysis of optical signals from Ti35Nb6Ta and Ti6Al4V surfaces." In Correlation Optics 2011, edited by Oleg V. Angelsky. SPIE, 2011. http://dx.doi.org/10.1117/12.916062.

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Smart, Anthony E., Robert V. Edwards, and William V. Meyer. "Quantitative simulation of errors in correlation analysis." In Photon Correlation and Scattering. OSA, 2000. http://dx.doi.org/10.1364/pcs.2000.wc1.

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Bogatyryova, G. V., and D. Y. Kondratenko. "Analysis of influence of plane-parallel plate on resolving power of Fourier spectrometer." In Correlation Optics 2011, edited by Oleg V. Angelsky. SPIE, 2011. http://dx.doi.org/10.1117/12.920575.

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Gudyma, Iurii V., and Artur I. Maksymov. "Theoretical analysis of photoinduced first order phase transition in spin-crossover complexes under noise action." In Correlation Optics 2011, edited by Oleg V. Angelsky. SPIE, 2011. http://dx.doi.org/10.1117/12.917711.

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Strinadko, Marina M., and Katerina B. Timochko. "Correlation method of electrocardiogram analysis." In Fifth International Conference on Correlation Optics, edited by Oleg V. Angelsky. SPIE, 2002. http://dx.doi.org/10.1117/12.455228.

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McNeil-Watson, F. K. "Improved Analysis of Photon Correlation Data." In Photon Correlation Techniques and Applications. Optica Publishing Group, 1988. http://dx.doi.org/10.1364/pcta.1988.dsopp205.

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The emphasis in recent years on improvements in the polydisperse analysis problem - that is the recovery of accurate particle size distributions from PCS data, have concentrated on two areas. Firstly the measurement of the correlation points at a logarithmically spaced set of points, that effectively match the collection of data to the distribution of information in exponential functions. Secondly the use of fitting methods that apply constraints either implicitly or explicitly to the range of possible solutions that are evaluated in the fitting process.
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Ungurian, V. P., O. I. Ivashchuk, and V. O. Ushenko. "Statistical analysis of polarizing maps of blood plasma laser images for the diagnostics of malignant formations." In Correlation Optics 2011, edited by Oleg V. Angelsky. SPIE, 2011. http://dx.doi.org/10.1117/12.920592.

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Звіти організацій з теми "Correlation analysis"

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Todros, Koby, and Alfred O. Hero. On Measure Transformed Canonical Correlation Analysis. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada578246.

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Herman, Matthew Joseph. Two-Dimensional Correlation Method for Polymer Analysis. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1172208.

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Steed, Chad A., J. Edward SwanII, Patrick J. Fitzpatrick, and T. J. Jankun-Kelly. A Visual Analytics Approach for Correlation, Classification, and Regression Analysis. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1035521.

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Ma, Kwan-Liu. Interactive Correlation Analysis and Visualization of Climate Data. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1325752.

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Meisel, L. V., and M. A. Johnson. Numerical Box-Counting and Correlation Integral Multifractal Analysis. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada282902.

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Soloviev, Vladimir N., Symon P. Yevtushenko, and Viktor V. Batareyev. Comparative analysis of the cryptocurrency and the stock markets using the Random Matrix Theory. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3681.

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This article demonstrates the comparative possibility of constructing indicators of critical and crash phenomena in the volatile market of cryptocurrency and developed stock market. Then, combining the empirical cross-correlation matrix with the Random Matrix Theory, we mainly examine the statistical properties of cross-correlation coefficients, the evolution of the distribution of eigenvalues and corresponding eigenvectors in both markets using the daily returns of price time series. The result has indicated that the largest eigenvalue reflects a collective effect of the whole market, and is
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Fujikoshi, Y., P. R. Krishnaiah, and J. Schmidhammer. Effect of Additional Variables in Principal Component Analysis, Discriminant Analysis and Canonical Correlation Analysis. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada162069.

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Burr, T. L., L. E. Wangen, and M. F. Mullen. Authentication of reprocessing plant safeguards data through correlation analysis. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/45607.

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Pulsipher, B. Statistical analysis of shard and canister glass correlation test. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/257360.

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Lai, Chih-Jun, Jing-Rong Jhuang, Yu-Kang Tu, and Kuo-liong Chien. Correlation meta-analysis between subjective dysphagia questionnaire and videofluoroscopy. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.7.0013.

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