Relevant bibliographies by topics / Spearman rank correlation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Spearman rank correlation'

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

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Journal articles on the topic "Spearman rank correlation"

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Frapporti, G., L. A. M. Linnartz, and S. P. Vriend. "SPEARMEN-a dBase program for computation and testing of Spearman rank correlation coefficient distributions." Computers & Geosciences 17, no. 4 (1991): 569–89. http://dx.doi.org/10.1016/0098-3004(91)90115-t.

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Luisa, Trombetta Burić. "Correlation Coefficients in Capital Market Analyses." Correlation Coefficients in Capital Market Analyses 8, no. 12 (2024): 6. https://doi.org/10.5281/zenodo.10487914.

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This paper explored the application of three widely utilized correlation coefficients - Pearson, Spearman, and Kendall in the context of financial data. The Pearson correlation coefficient, Spearman rank correlation coefficient, and Kendall's tau are extensively examined in capital market analyses for their ability to capture relationships between two or more financial variables such as investment funds rankings by different criteria (returns, risk, costs, etc.), market portfolio returns, stock exchange indexes and interest rates. For each coefficient, a hypothetical example was provided. Firs
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Wang, Hongni, Jingxin Yan, and Xiaodong Yan. "Spearman Rank Correlation Screening for Ultrahigh-Dimensional Censored Data." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 10104–12. http://dx.doi.org/10.1609/aaai.v37i8.26204.

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Herein, we propose a Spearman rank correlation-based screening procedure for ultrahigh-dimensional data with censored response cases. The proposed method is model-free without specifying any regression forms of predictors or response variables and is robust under the unknown monotone transformations of these response variable and predictors. The sure-screening and rank-consistency properties are established under some mild regularity conditions. Simulation studies demonstrate that the new screening method performs well in the presence of a heavy-tailed distribution, strongly dependent predicto
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Stephanou, Michael, and Melvin Varughese. "Sequential estimation of Spearman rank correlation using Hermite series estimators." Journal of Multivariate Analysis 186 (November 2021): 104783. http://dx.doi.org/10.1016/j.jmva.2021.104783.

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Lee, Yongjoo, and Hwajoon Kim. "THE SPEARMAN RANK-ORDER CORRELATION COEFFICIENT REPRESENTED BY LAPLACE TRANSFORM." JP Journal of Heat and Mass Transfer 18, no. 2 (2019): 363–72. http://dx.doi.org/10.17654/hm018020363.

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Yin, Y., and R. J. Carroll. "A diagnostic for heteroscedasticity based on the spearman rank correlation." Statistics & Probability Letters 10, no. 1 (1990): 69–76. http://dx.doi.org/10.1016/0167-7152(90)90114-m.

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McKean, Joseph W., and Bradley E. Huitema. "Small Sample Properties of the Spearman Autocorrelation Estimator." Perceptual and Motor Skills 76, no. 2 (1993): 384–86. http://dx.doi.org/10.2466/pms.1993.76.2.384.

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The small sample properties of a variant of the Spearman rank correlation coefficient applied in the time-series context were investigated through Monte Carlo methods. The rank method ( r1S) has even greater bias than the highly biased conventional parametric procedure; a traditional test of H0: ρ1 = 0 based on ( r1S) yields unacceptable properties. Empirical small sample distributions associated with the rank coefficient differ markedly from the distributions predicted by asymptotic theory. It is concluded that neither rank nor conventional parametric estimators and hypothesis tests are appro
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Rahman, Md Siddiqur, and Jafar A. Khan. "Forward Selection Procedure for Linear Model Building Using Spearman’s Rank Correlation." Dhaka University Journal of Science 60, no. 2 (2012): 141–45. http://dx.doi.org/10.3329/dujs.v60i2.11481.

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Forward selection (FS) is a step-by-step model-building algorithm for linear regression. The FS algorithm was expressed in terms of sample correlations where Pearson’s product-moment correlation was used. The FS yields poor results when the data contain contaminations. In this article, we propose the use of Spearman’s rank correlation in FS. The proposed method is called FSr. We conduct an extensive simulation study to compare the performance of FSr with FS. The proposed FSr performs better than the FS algorithm in the contaminated data. We also demonstrate a real data application of FSr.DOI:
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Prawitasari, Andriyani, and Doki Bustari. "HUBUNGAN ANTARA GAYA KEPEMIMPINAN, SEMANGAT KERJA DAN PENGEMBANGAN KARIR DENGAN KINERJA KARYAWAN DI PT. AGUNG AUTOMALL CABANG BENGKULU." Creative Research Management Journal 3, no. 1 (2020): 29. http://dx.doi.org/10.32663/crmj.v3i1.1250.

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The purpose of this study is to find out a correlation between leadership style, spirit and career development with employee performanceat PT. Agung Automall Bengkulu Branch with the samples of 91 employees. Due to all the population in this study were sampled, the sampling method was by census. Data were collected using questionnaires and analyzed using Spearman rank correlation and hypothesis testing t test. Spearman rank test results there is a strong correlation between leadership style with employee performance at PT. Agung Automall Bengkulu Branch. This is reinforced by the results of hy
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Ambarwati, Rona'a, and Henry Wardhana. "Analysis of the Factors Causing Delay in Project Work (Case Study: Governor Syarkawi Road, South Kalimantan)." CERUCUK 7, no. 4 (2024): 211. https://doi.org/10.20527/crc.v7i4.12765.

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Road Preservation. Sp. Handil Bakti (Sp. Serapat) – Km. 17 (By Pass Banjarmasin) based on the contract document was carried out on November 31, 2020 with a project implementation time of 776 calendar days and a maintenance time of 365 calendar days. Based on Time Schedule, in the 19th week of the period March 22 to March 28, 2021, the percentage weight of the work progress plan on the initial contract was 4.83%, while the realization of work progress was 2.28%, so the project experienced a delay of 2, 54%. This study used the interview method and distributed questionnaires to respondents. Thes
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Dissertations / Theses on the topic "Spearman rank correlation"

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CHEN, ZHAOREN. "ANALYSIS OF EQUITY MARKETS: A SPEARMAN RANK CORRELATION COEFFICIENT APPROACH." Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/612636.

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In this honors thesis, I attempted to develop an investment strategy to analyze the U.S. stock market by studying the correlations between nine sectors defined by the Select Sector Standard & Poor’s Depository Receipts (SPDR). These funds are a group of exchange-traded funds (ETFs) which are traded worldwide and can adequately represent the performance of the sectors. Through my method, I hope to identify the sector trends in the future by evaluating the sector ETF’s most recent short-term period data. This analysis will provide an alternate investment method for investors to avoid short-term
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HUANG, SHIJING. "ESTIMATING ILLEGAL DRUG MARKET LOCATION IN CINCINNATI USING THE HUFF MODEL." University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1090862711.

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Barnes, Samantha Jones. "Characterization of the Serologic Responses to Plasmodium vivax DBPII Variants Among Inhabitants of Pursat Province, Cambodia." Scholar Commons, 2011. http://scholarcommons.usf.edu/etd/3970.

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The Plasmodium vivax Duffy Binding Protein (DBP) is the ligand in the major pathway for P. vivax invasion of human reticulocytes, making it an appealing vaccine candidate. Region II of DBP (DBP-RII) is the minimal portion of the ligand that mediates recognition of the Duffy Antigen Receptor for Chemokines (DARC receptor) on the reticulocyte surface and constitutes the primary vaccine target. Analysis of natural variation in the coding sequences of DBP-RII revealed signature evidence for selective pressure driving variation in the residues of the putative receptor-binding site. We hypothesize t
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Twagirumukiza, Etienne. "Analysis of Faculty Evaluation by Students as a Reliable Measure of Faculty Teaching Performance." Digital Archive @ GSU, 2011. http://digitalarchive.gsu.edu/math_theses/105.

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Most American universities and colleges require students to provide faculty evaluation at end of each academic term, as a way of measuring faculty teaching performance. Although some analysts think that this kind of evaluation does not necessarily provide a good measurement of teaching effectiveness, there is a growing agreement in the academic world about its reliability. This study attempts to find any strong statistical evidence supporting faculty evaluation by students as a measure of faculty teaching effectiveness. Emphasis will be on analyzing relationships between instructor ratings by
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Dastmard, Benjamin. "A statistical analysis of the connection between test results and field claims for ECUs in vehicles." Thesis, KTH, Matematisk statistik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-118428.

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The objective of this thesis is to analyse theconnection between test results and field claims of ECUs (electronic controlunits) at Scania in order to improve the acceptance criteria and evaluatesoftware testing strategies. The connection is examined through computation ofdifferent measures of dependencies such as the Pearson’s correlation, Spearman’srank correlation and Kendall’s tau. The correlations are computed from testresults in different ECU projects and considered in a predictive model based onlogistic regression. Numerical results indicate a weak connection between testresults and fie
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Liebenberg, Andre. "The relationship between economic freedom, political freedom and economic growth." Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/30619.

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The research aims to investigate the relationship between economic freedom, political freedom and economic growth. The Arab Spring placed renewed interest on the topic of freedom, yet current economic conditions seemingly contradicted the established theory. The largest free economies were being outperformed by those with less political and economic freedom.Three objectives were specified to answer the research question. The first objective aimed to determine the association between economic freedom, political freedom and economic growth, for which Spearman’s correlation was used. The second o
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Michal, Ondřej. "Stanovení hodnot materiálových parametrů s využitím experimentů různých konfigurací." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2012. http://www.nusl.cz/ntk/nusl-225579.

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The work occupy by inverse analysis based on artificial neural network. This identification algorithm enable correct determine parameters of applied material model on creation of numerical model of construction so it's possible that the results of computerized simulation correspond with experiments. It look's like suitable approach especially in cases with complicated problems and complex models with many material parameters.
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Louw, Charl. "The presentation of self-concept and emotional profile in a cardiological population." Diss., Pretoria : [s.n.], 2004. http://upetd.up.ac.za/thesis/available/etd-02092005-092504.

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VOMÁČKA, Pavel. "Možnosti promítnutí rizika do hodnocení finanční situace podniku." Master's thesis, 2014. http://www.nusl.cz/ntk/nusl-174018.

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Objective of this Master's thesis is to evaluate different ways of measuring financial performance of enterprise. Economic Value Added is compared with older, traditional indicators of profitability. Emphasis lies on general applicability. In theoretical part, history of entrepreneurial goals is in addition to the actual analysis of tested indicators outlined. EVA, profitability ratios are assessed using a sample of 100 Czech manufacturing companies. In practical part, outputs of thesis apart from actual testing are stated.
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Books on the topic "Spearman rank correlation"

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Sloan, Luke, and Rob Angell. Spearman’s Rank-Order Correlation Coefficient and the General Social Survey (2012): Income and Political Influence. SAGE Publications, Ltd., 2015. http://dx.doi.org/10.4135/9781473937987.

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Sloan, Luke, and Rob Angell. Spearman’s Rank-Order Correlation Coefficient and the General Social Survey (2012): Highest Level of Education and Income. SAGE Publications, Ltd., 2015. http://dx.doi.org/10.4135/9781473937857.

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Spearman's Rank-Order Correlation Coefficient and the World DataBank (2012): Gross Domestic Product Per Capita and Internet Access. SAGE Publications, Ltd., 2015. http://dx.doi.org/10.4135/9781473937871.

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Spearman’s Rank-Order Correlation Coefficient and the Global Health Observatory Data (2012): Life Expectancy and Per Capita Government Health Spending. SAGE Publications, Ltd., 2015. http://dx.doi.org/10.4135/9781473948181.

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Book chapters on the topic "Spearman rank correlation"

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Gooch, Jan W. "Spearman Rank Correlation Coefficient." In Encyclopedic Dictionary of Polymers. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15382.

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Khare, Shreya, Akshay Bhandari, Saurabh Singh, and Anuja Arora. "ECG Arrhythmia Classification Using Spearman Rank Correlation and Support Vector Machine." In Advances in Intelligent and Soft Computing. Springer India, 2012. http://dx.doi.org/10.1007/978-81-322-0491-6_54.

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Li, Zhiqiang, Shihui Wang, and Hongchen Guo. "A Label-Correlated Multi-label Classification Algorithm Based on Spearman Rank Correlation Coefficient." In Recent Developments in Intelligent Systems and Interactive Applications. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49568-2_8.

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MacFarland, Thomas W., and Jan M. Yates. "Spearman’s Rank-Difference Coefficient of Correlation." In Introduction to Nonparametric Statistics for the Biological Sciences Using R. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30634-6_8.

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Baszczyńska, Aleksandra, and Czesław Domański. "Distribution of the Spearman’s Rank Correlation Coefficient." In Operations Research ’92. Physica-Verlag HD, 1993. http://dx.doi.org/10.1007/978-3-662-12629-5_95.

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Williams, R. B. G. "Spearman’s and Kendall’s Coefficients of Rank Correlation." In Intermediate Statistics for Geographers and Earth Scientists. Macmillan Education UK, 1986. http://dx.doi.org/10.1007/978-1-349-06813-5_6.

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Kokoska, Stephen, and Christopher Nevison. "Critical Values For Spearman’s Rank Correlation Coefficient." In Springer Texts in Statistics. Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4613-9629-1_22.

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Grzegorzewski, Przemysław, and Paulina Ziembińska. "Spearman’s Rank Correlation Coefficient for Vague Preferences." In Flexible Query Answering Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24764-4_30.

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Shah, Dharambhai, and Tanish Zaveri. "Hyperspectral Endmember Extraction Algorithm Using Spearman’s Rank Correlation." In Algorithms for Intelligent Systems. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5077-5_27.

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Navarro, Danielle, and David Foxcroft. "12. Correlation and linear regression." In Learning Statistics with jamovi. Open Book Publishers, 2025. https://doi.org/10.11647/obp.0333.12.

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This chapter delves into correlation and linear regression, foundational techniques in statistical analysis for exploring relationships between continuous predictors and outcomes. Beginning with the concept of correlations, the chapter examines how variables relate to each other in data, using scatterplots and descriptive statistics to visualise and interpret the strength and direction of relationships. Pearson’s correlation coefficient r is introduced as a measure ranging from -1 (perfect negative correlation) to +1 (perfect positive correlation), alongside practical guidance on its calculati
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Conference papers on the topic "Spearman rank correlation"

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Wood, Kurt. "New SSPC Paint 47 Fluoropolymer Topcoat Standard for Protective and Restoration Coatings." In Coatings+ 2021. SSPC, 2021. https://doi.org/10.5006/s2021-00027.

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Abstract Since the 1980s, fluoropolymer resin technologies have offered the possibility of a quantum improvement in topcoat decorative properties- gloss and color retention- compared to conventional acrylic and polyester resins. Specifiers of both protective and architectural restoration coatings systems have expressed a need for a new SSPC standard for field-applied fluoropolymer topcoats, particularly for bright and saturated colors. In the past few years, the SSPC C.1.8 committee worked to develop such a standard, which issued in December 2020 as SSPC Paint 471. A key challenge has been to
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Szmidt, Eulalia, and Janusz Kacprzyk. "The Spearman rank correlation coefficient between intuitionistic fuzzy sets." In 2010 5th IEEE International Conference Intelligent Systems (IS). IEEE, 2010. http://dx.doi.org/10.1109/is.2010.5548399.

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Xia, Jingyang, and Qing Shen. "Correlation analysis of different vegetable categories based on Spearman rank correlation coefficient." In 2024 IEEE 6th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC). IEEE, 2024. http://dx.doi.org/10.1109/imcec59810.2024.10575437.

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Szmidt, Eulalia, and Janusz Kacprzyk. "The Spearman and Kendall rank correlation coefficients between intuitionistic fuzzy sets." In 7th conference of the European Society for Fuzzy Logic and Technology. Atlantis Press, 2011. http://dx.doi.org/10.2991/eusflat.2011.85.

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Dewalle, A. S., N. Betrouni, M. Steinling, M. Vermandel, J. Rousseau, and C. Vasseur. "Comparison between shifted Spearman rank correlation test and SPM in fMRI." In 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2007. http://dx.doi.org/10.1109/iembs.2007.4353061.

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Spicer, C., and H. Gangloff. "241. Random Failure in Appplication of Spearman Rank Correlation to Bioaerosol Sampling Data." In AIHce 1999. AIHA, 1999. http://dx.doi.org/10.3320/1.2763085.

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Peng, Shuya, Ruoming Cheng, and Ziheng Dai. "Study on Ethanol Coupling Reaction Based on Regression Algorithm and Spearman Rank Correlation Coefficient." In 2022 11th International Conference of Information and Communication Technology (ICTech). IEEE, 2022. http://dx.doi.org/10.1109/ictech55460.2022.00075.

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Peng, Shiyi, Haoshuang Liao, Yuan Liu, Wenhua Ouyang, Changdong Li, and Song He. "State Monitoring and Fault Detection of GIS Isolation Disconnector Based on Spearman Rank Correlation Coefficient." In 2023 3rd International Conference on Electrical Engineering and Control Science (IC2ECS). IEEE, 2023. http://dx.doi.org/10.1109/ic2ecs60824.2023.10493560.

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Wang, Wei, Wei Qi, Nengcheng Chen, Peng Wang, and Jiaying Chen. "Research on determining the weights of urban land grading evaluation factors based on Spearman rank correlation analysis." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.837404.

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Zhao, Peirui, Xiaohong Wang, Hongliang Yu, and Shizeng Lu. "Method for Identifying Current Operating Conditions of Main Motor of Cement Rotary Kiln Based on Spearman Rank Correlation Coefficient." In 2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC). IEEE, 2019. http://dx.doi.org/10.1109/yac.2019.8787648.

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Reports on the topic "Spearman rank correlation"

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Brown, Yolanda, Twonia Goyer, and Maragaret Harvey. Heart Failure 30-Day Readmission Frequency, Rates, and HF Classification. University of Tennessee Health Science Center, 2020. http://dx.doi.org/10.21007/con.dnp.2020.0002.

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30 Day Hospital Readmission Rates, Frequencies, and Heart Failure Classification for Patients with Heart Failure Background Congestive heart failure (CHF) is the leading cause of mortality, morbidity, and disability worldwide among patients. Both the incidence and the prevalence of heart failure are age dependent and are relatively common in individuals 40 years of age and older. CHF is one of the leading causes of inpatient hospitalization readmission in the United States, with readmission rates remaining above the 20% goal within 30 days. The Center for Medicare and Medicaid Services imposes
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KHUDALOVA, M., V. FILONENKO, and E. KUDZOEVA. PSYCHOSOMATICS IN CONNECTION WITH THE AFFECTIVE DISORDERS OF PERSONALITY. Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/2658-4034-2021-12-4-2-365-374.

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In recent years, we can notice a significant increase in psychosomatic disorders among borderline mental pathology, which are reasonably considered “the pathology of modern civilization”. The purpose of this study is to identify the relationship between psychosomatic disorders and the affective disorders of the personality. The study used the following methods: a diagnostic conversation and analysis of medical documents with the results of clinical examination, a scale for psychological express diagnostics of semi-structured depressive disorders (based on MMPI), a self-assessment scale by Ch.D
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McKee, Anna, and Ann Couch. Land use and dog park associations with Escherichia coli in the Chattahoochee River National Recreation Area watershed. National Park Service, 2024. http://dx.doi.org/10.36967/2302755.

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A recent study in the Chattahoochee River National Recreation Area (CHAT) indicated that dogs were a primary source of fecal contamination in the Chattahoochee River and that at least some of the contamination in the river was coming from locations outside of CHAT. The study herein sought to determine if dog parks in the CHAT watershed were sources of dog fecal contamination in streams within the watershed. Escherichia coli (E. coli) data were compiled from the Chattahoochee Riverkeeper Neighborhood Water Watch (NWW) program for sites within the CHAT watershed. Information about dog park locat
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Jittapiromsak, Nutchawan. Value of Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Determining the Plasma Epstein-Barr Virus Status and Staging of Nasopharyngeal Carcinoma. Faculty of Medicine, Chulalongkorn University, 2019. https://doi.org/10.58837/chula.res.2019.9.

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Objective: To determine the associations between dynamic-contrast enhanced (DCE) magnetic resonance imaging (MRI) parameters and plasma Epstein-Barr virus (EBV) DNA status and nasopharyngeal carcinoma (NPC) stages. Methods: We prospectively studied the DCE MRI results of 47 patients with newly diagnosed NPC and a known pre-treatment plasma EBV DNA level. Regions of interest (ROIs) were drawn at primary tumors, and DCE MRI parameters, including mean and max values of Ktrans, Kep Ve, and Vp, were recorded. Spearman’s rank correlation was used to identify significant associations between DCE MRI
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