Results 11 to 20 of about 1,042,888 (328)
Outlier identification in radiation therapy knowledge-based planning: A study of pelvic cases. [PDF]
, 2017 PURPOSE: The purpose of this study was to apply statistical metrics to identify outliers and to investigate the impact of outliers on knowledge-based planning in radiation therapy of pelvic cases.
Aggarwal +23 more
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Free cyclic submodules in the context of the projective line [PDF]
, 2015 We discuss the free cyclic submodules over an associative ring $R$ with unity. Special attention is paid to those, which are generated by outliers. This paper describes all orbits of such submodules in the ring of lower triangular $3$x$3$ matrices over a
Bartnicka, Edyta, Matras, Andrzej
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Current Biology, 2013 SummaryReports of photographic memory are widespread but the search for truly extraordinary memory abilities has uncovered only a handful of examples. But the fact that such individuals exist has fascinated and begs the question, what is the source of such abilities? Cyrus Martin reports.
openaire +2 more sources
Evaluation of Calibration Equations by Using Regression Analysis: An Example of Chemical Analysis
Sensors, 2022 A calibration curve is used to express the relationship between the response of the measuring technique and the standard concentration of the target analyst.
Hsuan-Yu Chen, Chiachung Chen
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Engineering Proceedings, 2023 Most real time series exhibit certain characteristics that make the choice of model and its specification difficult. The objective of this study is to address the problem of parameter estimation and the accuracy of forecasts k-steps ahead in non ...
Fernanda Catarina Pereira +2 more
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Performance Evaluation of K-Means Clustering Algorithm Using Some Robust Distances: a Case Study on Seismic Data in Sumatra [PDF]
Statistika: Statistics and Economy JournalClustering is an unsupervised learning technique that categorizes data into groups based on inherent patterns and similarities, with K-means being one of the most common methods.
Ulfasari Rafflesia +3 more
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International Journal of Psychological Research, 2010 After much exertion and care to run an experiment in social science, the analysis of data should not be ruined by an improper analysis. Often, classical methods, like the mean, the usual simple and multiple linear regressions, and the ANOVA require ...
Delphine S. Courvoisier, Olivier Renaud
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Frontiers in Sports and Active Living, 2023 IntroductionThis study aimed to investigate which external load variables were associated with internal load during three small-sided games (SSG) in professional rugby union players.MethodsForty professional rugby union players (22 forwards, 18 backs ...
Marco Zanin +8 more
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Dynamic Mixed Data Analysis and Visualization
Entropy, 2022 One of the consequences of the big data revolution is that data are more heterogeneous than ever. A new challenge appears when mixed-type data sets evolve over time and we are interested in the comparison among individuals. In this work, we propose a new
Aurea Grané +2 more
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On the efficacy of procedures to normalise Ex-Gaussian distributions
Frontiers in Psychology, 2015 Reaction time (RT) is one of the most common types of measure used in experimental psychology. Its distribution is not normal (Gaussian) but resembles a convolution of normal and exponential distributions (Ex-Gaussian).
Fernando eMarmolejo-Ramos +3 more
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