Results 11 to 20 of about 451,682 (258)
Comparative assessment of crystallographic and cryo-EM models in the Protein Data Bank. [PDF]
FEBS Open BioRaw data obtained by X‐ray crystallography or cryo‐EM result in experimental maps, ultimately fitted by atomic models. Although the physical principles are different, the final results can be viewed, compared, and evaluated in the same way. With cryogenic electron microscopy (cryo‐EM) on track to surpass X‐ray crystallography as the preferred method ...
Wlodawer A +7 more
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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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Outliers - robust ECM cointegration tests based on the trend components [PDF]
, 2004 The main goal of this paper is to analyze the behavior of the ECM non-cointegration test when there are additive outliers in the time series under different co-breaking situations.
Alvaro Escribano +3 more
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Wavelet-based detection of outliers in volatility models [PDF]
, 2009 Outliers in financial data can lead to model parameter estimation biases, invalid inferences and poor volatility forecasts. Therefore, their detection and correction should be taken seriously when modeling financial data.
Veiga, Helena, Grané Chávez, Aurea
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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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Detection of Outliers and Influential Observations in Linear Ridge Measurement Error Models with Stochastic Linear Restrictions [PDF]
Journal of Sciences, Islamic Republic of Iran, 2015 The aim of this paper is to propose some diagnostic methods in linear ridge measurement error models with stochastic linear restrictions using the corrected likelihood.
F. Ghapani +3 more
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