Relevant bibliographies by topics / R statistical software

Contents

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

Academic literature on the topic 'R statistical software'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "R statistical software"

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Irie, Go, and Takashi Satou. "R; a statistical analysis software." Journal of The Institute of Image Information and Television Engineers 63, no. 11 (2010): 1540–43. http://dx.doi.org/10.3169/itej.63.1540.

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Hanum, Herlina. "PELATIHAN SOFTWARE R UNTUK ANALISIS STATISTIK1." Jurnal Pengabdian Sriwijaya 7, no. 2 (2019): 754–59. http://dx.doi.org/10.37061/jps.v7i2.9756.

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R is a very useful software in statistical analysis. Its open-source nature makes it easy for users to download and use it freely. Its relatively small size allows R to be installed and used on a laptop because it doesn't use much laptop memory. Users are also facilitated to learn statistical analysis using R because there are many learning resources available which are also easily accessible. But the existence and ease of this has not been widely known by users of statistical analysis. To further introduce R to the public using statistical analysis, R training was conducted through the commun
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Lorenz, Akiva J., Barry S. Markman, and Shlomo Sawilowsky. "Caution for Software Use of New Statistical Methods (R)." Journal of Modern Applied Statistical Methods 14, no. 2 (2015): 275–81. http://dx.doi.org/10.22237/jmasm/1446351540.

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Filzmoser, Peter, Cristian Gatu, and Achim Zeileis. "Special issue on statistical algorithms and software in R." Computational Statistics & Data Analysis 71 (March 2014): 887–88. http://dx.doi.org/10.1016/j.csda.2013.10.012.

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Zhukovska, Victoriia V., Oleksandr O. Mosiiuk та Veronika V. Komarenko. "ЗАСТОСУВАННЯ ПРОГРАМНОГО ПАКЕТУ R У НАУКОВИХ ДОСЛІДЖЕННЯХ МАЙБУТНІХ ФІЛОЛОГІВ". Information Technologies and Learning Tools 66, № 4 (2018): 272. http://dx.doi.org/10.33407/itlt.v66i4.2196.

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Corpus linguistics is a newly emerging field of study in applied linguistics that deals with construction, processing, and exploitation of text corpora. To date, a high-quality analysis of vast amounts of empirical language data provided by computerized corpora is impossible without computer technologies and relevant statistical methods. Therefore, teaching future philologists to effectively apply statistical computer programs is an important stage in their research training. The article discusses the possibilities of using one of the leading in Western linguistics, but not well-known in Ukrai
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DOS SANTOS FERREIRA, ROBSON, VERÔNICA YUMI KATAOKA, and MONICA KARRER. "TEACHING PROBABILITY WITH THE SUPPORT OF THE R STATISTICAL SOFTWARE." STATISTICS EDUCATION RESEARCH JOURNAL 13, no. 2 (2014): 132–47. http://dx.doi.org/10.52041/serj.v13i2.286.

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The objective of this paper is to discuss aspects of high school students’ learning of probability in a context where they are supported by the statistical software R. We report on the application of a teaching experiment, constructed using the perspective of Gal’s probabilistic literacy and Papert’s constructionism. The results show improvement in students’ learning of basic concepts, such as: random experiment, estimation of probabilities, and calculation of probabilities using a tree diagram. The use of R allowed students to extend their reasoning beyond that developed from paper-and-pencil
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Templ, Matthias, and Valentin Todorov. "The Software Environment R for Official Statistics and Survey Methodology." Austrian Journal of Statistics 45, no. 1 (2016): 97–124. http://dx.doi.org/10.17713/ajs.v45i1.100.

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The open-source programming language and software environment R is currently one of the most widely used and popular software tools for statistics and data analysis. This contribution provides an overview of important R packages used in official statistics and survey methodology and discusses the usefulness of R in the daily work of a statistical office. Examples of activities and developments in R related projects in several national and international statistical offices are given. The focus is not only on the internal infrastructure that national and international statistical offices provide
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Rode, Jacob B., and Megan M. Ringel. "Statistical Software Output in the Classroom: A Comparison of R and SPSS." Teaching of Psychology 46, no. 4 (2019): 319–27. http://dx.doi.org/10.1177/0098628319872605.

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The current study examines whether R or SPSS output induces greater initial anxiety in students and whether anxiety toward one or both changes after being taught one type of software output throughout the course. The authors each taught an introductory statistics course, with the first course ( n = 43) teaching R output exclusively and the second course ( n = 39) teaching SPSS output exclusively. Students in both courses were given surveys assessing their anxiety and confidence toward R and SPSS output on the first and last days of class. Students initially reported greater anxiety and lower c
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Růžička, Jan. "Integrating DROOLS and R software for intelligent map system." Geoinformatics FCE CTU 7 (December 29, 2011): 85–92. http://dx.doi.org/10.14311/gi.7.7.

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The paper describes intelligent map system that allows to check errors in map sheets or to help with a map sheet creation. The system is based on expert system DROOLS, ontology created in Protége and statistical software R. Prototype of the system should evaluate that this kind of integration is possible, so the system is not full of rules. The prototype is filled with twenty rules written in DRL language and with more than thirty items from the ontology. The paper should show how all of these components can be integrated together to allow such kind of a map sheet evaluation. The system is now
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Lockstone, H. E. "Exon array data analysis using Affymetrix power tools and R statistical software." Briefings in Bioinformatics 12, no. 6 (2011): 634–44. http://dx.doi.org/10.1093/bib/bbq086.

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Dissertations / Theses on the topic "R statistical software"

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Hornik, Kurt. "Are There Too Many R Packages?" Austrian Statistical Society, c/o Bundesanstalt Statistik Austria, 2012. http://epub.wu.ac.at/3814/1/121Hornik.pdf.

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The number of R extension packages available from the CRAN repository has tremendously grown over the past 10 years. We look at this phenomenon in more detail, and discuss some of its consequences. In particular, we argue that the statistical computing community needs a more common understanding of software quality, and better domain-specific semantic resources.
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Kaspříková, Nikola. "Výpočty plánů pro statistické přejímky měřením." Doctoral thesis, Vysoká škola ekonomická v Praze, 2006. http://www.nusl.cz/ntk/nusl-77069.

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Analysis of several acceptance sampling procedures is performed and improvement of the procedures is sug- gested in this thesis. The issue of an efficient calculation of exact (P1, P2) single sampling plans for sampling by variables and exact LTPD and AOQL single sampling plans for sampling by variables when the rejected lots are inspected is addressed. The calculation of the plans is done using exact formula for operating characteristic of acceptance sampling plan and the new plans have better characteristics compared to the plans computed in a usual way using just approximately valid formula
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Moral, Rafael de Andrade. "Statistical modelling of data from insect studies." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-06042018-153400/.

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Data from insect studies may present different features. Univariate responses may be analyzed using generalized linear models (continuous and discrete data), survival models (time until event data), mixed effects models (longitudinal data), among other methods. These models may be used to analyse data from experiments which assess complex ecological processes, such as competition and predation. In that sense, computational tools are useful for researchers in several fields, e.g., insect biology and physiology, applied ecology and biological control. Using different datasets from entomology as
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Bryan, Rebecca. "Large scale, multi femur computational stress analysis using a statistical shape and intensity model." Thesis, University of Southampton, 2010. https://eprints.soton.ac.uk/185087/.

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Sartorio, Simone Daniela. "Aplicações de técnicas de análise multivariada em experimentos agropecuários usando o software R." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-06082008-172655/.

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O uso das técnicas de análise multivariada está reservado aos grandes centros de pesquisa, µas grandes empresas e ao ambiente acad^emico. Essas técnicas s~ao muito interessantes porque utilizam simultaneamente todas as variáveis respostas na interpretação teórica do conjunto de dados, levando em conta as correlações existentes entre elas. Uma das principais barreiras para a utilização dessas técnicas é o seu desconhecimento pelos pesquisadores interessados na pesquisa quantitativa. A outra dificuldade é que a grande maioria de softwares que permitem esse tipo de análise (SAS, MINITAB, BMDP, ST
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Mair, Patrick, Eva Hofmann, Kathrin Gruber, Reinhold Hatzinger, Achim Zeileis, and Kurt Hornik. "Motives for Participation in Open-Source Software Projects: A Survey among R Package Authors." WU Vienna University of Economics and Business, 2014. http://epub.wu.ac.at/4135/1/Report126.pdf.

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One of the cornerstones of the R system for statistical computing is the multitude of contributed packages making an extremely broad range of statistical techniques and other quantitative methods freely available. This study investigates which factors are the crucial determinants responsible for the participation of the package authors in the R project. For this purpose a survey was conducted among R package authors, collecting data on different types of participation in the R project, three psychometric scales (hybrid forms of motivation, work design characteristics, and values), as we
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Omri, Fouad ben Nasr [Verfasser], and R. [Akademischer Betreuer] Reussner. "Weighted Statistical Testing based on Active Learning and Formal Verification Techniques for Software Reliability Assessment / Fouad ben Nasr Omri. Betreuer: R. Reussner." Karlsruhe : KIT-Bibliothek, 2015. http://d-nb.info/1080246126/34.

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Kadlec, Jiri. "Design, Development and Testing of Web Services for Multi-Sensor Snow Cover Mapping." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/5727.

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This dissertation presents the design, development and validation of new data integration methods for mapping the extent of snow cover based on open access ground station measurements, remote sensing images, volunteer observer snow reports, and cross country ski track recordings from location-enabled mobile devices. The first step of the data integration procedure includes data discovery, data retrieval, and data quality control of snow observations at ground stations. The WaterML R package developed in this work enables hydrologists to retrieve and analyze data from multiple organizations tha
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Gonzalez, Patricia Shizue Matsumura Ueda. "Índices de capacidade do processo para distribuições não normais: uma aplicação na indústria metalúrgica." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-01072013-083651/.

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Recentemente a análise de capacidade do processo para dados com distribuição não normal começou a ser explorada, porém são raras as referências em língua portuguesa que abordem este assunto. Este trabalho apresenta os principais índices para análise da capacidade do processo com dados não normais encontrados na literatura, sendo o primeiro deles o método proposto por Clements em 1989, o segundo, proposto por Pearn e Chen (1997) e o terceiro método apresentado é o proposto por Chen e Ding em 2001. Os métodos de Clements (1989) e Pearn e Chen (1997) são parecidos em muitos aspectos, mas cada um
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Morsiani, Alessandro. "Tecniche di analisi statistica sull'attività di lobbying negli Stati Uniti usando il software R." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8183/.

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La tesi fornisce una panoramica delle principali metodologie di analisi dei dati utilizzando il software open source R e l’ambiente di sviluppo integrato (IDE) RStudio. Viene effettuata un’analisi descrittiva e quantitativa dei dati GICS, tassonomia industriale che cataloga le principali aziende per il processo di gestione e ricerca degli asset di investimento. Sono stati studiati i principali settori del mercato USA considerando il fatturato, le spese per il lobbying e tre indici che misurano il grado di collegamento fra industrie. Su questi dati si sono svolte delle analisi quantitativ
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Books on the topic "R statistical software"

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Pace, Larry. Beginning R: An Introduction to Statistical Programming. Apress, 2012.

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The art of R programming: Tour of statistical software design. No Starch Press, 2011.

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How to do linguistics with R: Data exploration and statistical analysis. John Benjamins Publishing Company, 2015.

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Ken, Kleinman, ed. Using R for data management, statistical analysis, and graphics. CRC Press, 2011.

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Clinical trial data analysis using R. CRC Press, 2011.

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Adaptive design theory and implementation using SAS and R. CRC Press, 2014.

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Chang, Mark. Adaptive design theory and implementation using SAS and R. CRC Press, 2007.

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Adaptive design theory and implementation using SAS and R. Taylor & Francis, 2008.

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Ecological models and data in R. Princeton University Press, 2008.

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Babeshko, Lyudmila, and Irina Orlova. Econometrics and econometric modeling in Excel and R. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1079837.

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The textbook includes topics of modern econometrics, often used in economic research. Some aspects of multiple regression models related to the problem of multicollinearity and models with a discrete dependent variable are considered, including methods for their estimation, analysis, and application. A significant place is given to the analysis of models of one-dimensional and multidimensional time series. Modern ideas about the deterministic and stochastic nature of the trend are considered. Methods of statistical identification of the trend type are studied. Attention is paid to the evaluati
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Book chapters on the topic "R statistical software"

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Genolini, Christophe, Emmanuel Dubois, and David Furió. "R++, User-Friendly Statistical Software." In Human-Computer Interaction – INTERACT 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29390-1_46.

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Templ, M. "Software Development for SDC in R." In Privacy in Statistical Databases. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11930242_29.

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Larson-Hall, Jenifer, and Atsushi Mizumoto. "Using statistical analysis software (R, SPSS)." In The Routledge Handbook of Research Methods in Applied Linguistics. Routledge, 2019. http://dx.doi.org/10.4324/9780367824471-33.

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Jank, Wolfgang. "Appendix: Introduction to the Statistical Software R." In Business Analytics for Managers. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0406-4_7.

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Parmigiani, Giovanni, Simina Boca, Jie Ding, and Lorenzo Trippa. "Statistical Tools and R Software for Cancer Driver Probabilities." In Gene Function Analysis. Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-721-1_7.

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Amadou, Zakou. "Agropastoralists’ Climate Change Adaptation Strategy Modeling: Software and Coding Method Accuracies for Best-Worst Scaling Data." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_129.

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AbstractInvestigating software and coding method accuracies are still a challenge when dealing with best-worst scaling data. Comparing various climate change policy estimates and their relative importance across different statistical packages has received little attention. In this chapter, we use best-worst scaling approach to determine agropastoralist preferences for 13 climate change adaptation policies across two popular statistical packages (R and SAS). While data were collected from 271 agropastoralists, mixed logit was used to analyze data. Results reveal that mean and standard deviation estimates for 13 climate change adaptation policies from R are higher and statistically significant than SAS estimates. Based on R estimates, prolific animal selection, vaccination, settlement, strategic mobility, and strategic destocking are the most popular climate change adaptation policies, and more than two-third of respondents are in favor of these policies.
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Saputra, A., H. Sofyan, and T. E. Putra. "The Application of R Software as a Statistical Tool for Mechanical Data Clustering." In Proceedings of the 2nd International Conference on Experimental and Computational Mechanics in Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0736-3_38.

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Mudalige, Nishan. "BOLD.R: A Software Package to Interface with BOLD Through R." In Springer Proceedings in Mathematics & Statistics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63591-6_18.

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Temba, Pontian L., Noah M. Pauline, and Patrick M. Ndaki. "Living and responding to climate variability and change among coffee and banana farmers in the highlands of Moshi rural district, Tanzania." In Climate change impacts and sustainability: ecosystems of Tanzania. CABI, 2020. http://dx.doi.org/10.1079/9781789242966.0009.

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Abstract The study aimed at exploring perceived impacts of climate variability on coffee and banana farming and community responses in the highlands of Moshi Rural District. A socio-economic survey employing qualitative and quantitative research approaches was used. Data were collected using questionnaires, key informant interviews, focus group discussions as well as field observation. A total of 96 farmers were involved in the study. SPSS Statistics software package and Microsoft Excel were used for data processing and analysis. Findings showed that communities are knowledgeable about climate variability. Their knowledge is based on perceptions of the impacts already felt and attributed to climate variability, including unpredictable patterns of rainy seasons. Climate variability is associated with decrease in household food supply, unpredictable farming calendar and drying of water sources for irrigation and domestic use. Coffee yields showed a decreasing trend (at the rate of R<sup>2</sup> = -0.494) during the years 1990-2016. This was contrary to bananas, which indicated an increasing trend (R<sup>2</sup> = 0.036) of production during the same period. Communities were responding to impacts of climate variability in various ways, including intercropping, planting early maturing and drought-resistant varieties and gravity canal irrigation. Projected climate changes showed that the future was uncertain for farmers depending on rain-fed farming. Therefore, further research on viable options would help farmers adapt to current and future climatic stresses. Options may include intensified irrigation of crops and conservation farming which have the potential to increase banana and coffee production, thereby improving productivity and food security for communities.
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Alkarkhi, Abbas F. M., and Wasin A. A. Alqaraghuli. "R Statistical Software." In Applied Statistics for Environmental Science with R. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-12-818622-0.00002-2.

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Conference papers on the topic "R statistical software"

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Voulgaropoulou, Sophia, Georgios Spanos, and Lefteris Angelis. "Analyzing Measurements of the R Statistical Open Source Software." In 2012 35th Annual IEEE Software Engineering Workshop (SEW). IEEE, 2012. http://dx.doi.org/10.1109/sew.2012.7.

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Ulazia, Alain, and Gabriel Ibarra-Berastegi. "Study of ocean and wind energy potential with R: an innovative experience in the classroom." In HEAd'16 - International Conference on Higher Education Advances. Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/head16.2016.2421.

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Abstract The Engineer School of Eibar initiated the Grade of Engineering in Renewable Energies four years ago. This pioneering educational project has shown many challenges to the teachers of the new grade. Among the different software skills used in this project, R programming language has been a very important one because of its capacity for spatio-temporal analysis and graphical visualization of wind energy and wave energy potential. A quarter of the subject's program in Wind Energy and Ocean Energy has been used via Problem Based Learning for the application of statistical calculus with R.
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Dumesnil, Etienne, Divya Konda, Gabriel Aldaz, Hnin Ookhin, David Pickham, and Lauren Aquino Shluzas. "Design and Validation of a Dynamic Digital Ruler for Hands-Free Chronic Wound Assessment." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46997.

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This paper documents the design and validation of a measurement tool for chronic wound assessment. Using the Google Glass™ head-mounted display (HMD) as a platform for research, we developed a digital ruler to dynamically capture wound dimensions in a hands-free manner. The system consists of the Glass HMD equipped with an infrared light emitting diode (IR-LED) distance sensor, lithium polymer battery, and a custom printed circuit board. Programmed using Android 4.4.2 (API 19), orthogonal rulers along the X and Y axes are superimposed on the Glass eyepiece and calibrated for measurement accura
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Cunha, Lorena, and Qing Wang. "Sampling Methods for Uncertainty in Life Cycle Cost Analysis in Product Design." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47116.

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Life cycle cost (LCC) analysis was initiated from the necessity to calculate the cost of products from ‘cradle to grave’. LCC is not a new tool, but its use is still limited and requires further studies, especially concerning all the uncertainty involved. This project seeks to study and understand the difference between the two most common sampling methods utilized to measure this uncertainty: Latin Hypercube sampling (LHS) and Random sampling (also known as Monte Carlo sampling). The LLC model was developed in SEER-H Galorath Software and the samples from two different types of variable and i
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Zderčík, Antonín, Jiří Nykodým, Jana Talašová, Pavel Holeček, and Michal Bozděch. "The application of fuzzy logic in the diagnostics of performance preconditions in tennis." In 12th International Conference on Kinanthropology. Masaryk University Press, 2020. http://dx.doi.org/10.5817/cz.muni.p210-9631-2020-5.

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Sports performance is influenced by a many of factors that can be characterised as its rela-tively independent – although synergetic – components. The most frequently mentioned are the fitness, somatic, tactical, mental and technical factors of sports performance. The subject of interest in sport is the process of monitoring and evaluating the level of these individual factors, i.e. the diagnostics of sports performance. When diagnosing the level of performance prerequi-site for tennis, it is recommended to use those diagnostic methods that focus on tennis-specific performance prerequisites. A
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Luciano De La Cruz, Lucero Cynthia, and Cesar Celis. "Integration of Hydro and Renewable Energy Resources in Energy Planning." In ASME 2020 Power Conference collocated with the 2020 International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/power2020-16376.

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Abstract Renewable energy is the energy obtained from resources inexhaustible in the long term. Furthermore, in some countries, non-conventional renewable energy includes solar, wind, biomass, geothermal and mini-hydropower. The definition of mini-hydropower plants varies depending on the country. As an example, in Peru and Canada, mini-hydropower plants have different installing capacities, below 20MW and 50MW, respectively. Accordingly, this work (i) discusses the Energy Balance and challenges that renewable energies have to face on their way to the energy transition, (ii) highlights the for
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Araki, Kosuke, Tetsuya Watanabe, and Kazunori Minatani. "Development of tactile graph generation software using the R statistics software environment." In the 16th international ACM SIGACCESS conference. ACM Press, 2014. http://dx.doi.org/10.1145/2661334.2661389.

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Kelly, Dana L. "Using Copulas to Model Dependence in Simulation Risk Assessment." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-41284.

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Typical engineering systems in applications with high failure consequences such as nuclear reactor plants often employ redundancy and diversity of equipment in an effort to lower the probability of failure and therefore risk. However, it has long been recognized that dependencies exist in these redundant and diverse systems. Some dependencies, such as common sources of electrical power, are typically captured in the logic structure of the risk model. Others, usually referred to as intercomponent dependencies, are treated implicitly by introducing one or more statistical parameters into the mod
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Gipon, Elodie. "Improvement of FAC Maintenance Program Issued From BRT-CICERO™ via CFD Calculations." In 2016 24th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/icone24-60136.

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Flow Accelerated Corrosion (FAC) is very effective for nuclear power plant. This generalized corrosion can lead to the rupture of pipe and in some dramatic cases to casualties. During the last 20 years Electricité de France (EDF) has developed software called BRT-CICERO™ for the surveillance of the carbon steel piping system of its Nuclear Power Plants (NPPs). This software enables the operator to calculate the FAC wear rates by taking into account all the influencing parameters such as pipe isometrics, alloy content, chemical conditioning, design and operating parameters of the steam water ci
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Al-Faris, Husam, and Mahmood Al-Obaidi. "Comparative Study of Traffic Flow Models: A Case study for Al-Doura Expressway in Baghdad City." In INTERNATIONAL CONFERENCE ON ARCHITECTURAL AND CIVIL ENGINEERING 2020. Cihan University-Erbil, 2021. http://dx.doi.org/10.24086/aces2020/paper.252.

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Speed, flow, and density are the most effectiveness traffic parameters. For the study area, all required speed-flow data were collected manually by special team using the necessary survey equipment from 11:00am-6:00pm during one week within different days for each direction of Al-Doura Expressway in Baghdad city. Greenshield Model (GSM) and Greenberg Model (GBM) have been analyzed using EXCEL software to compare the implementation results of the real data. The calibration of regression analysis studies were used and the statistical coefficient of person's correlation (R) and coefficient of det
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Reports on the topic "R statistical software"

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Castleton, Karl J., Gene Whelan, and Bonnie L. Hoopes. FRAMES Software System: Linking to the Statistical Package R. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/944521.

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