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Nikolaev, Andrey B.; Sapego, Yuliya S.; Jakubovich, Anatolij N.; Berner, Leonid I.; Stroganov, Victor Yu. – International Journal of Environmental and Science Education, 2016
In the paper it's proposed an algorithm for the management of traffic incidents, aimed at minimizing the impact of incidents on the road traffic in general. The proposed algorithm is based on the theory of fuzzy sets and provides identification of accidents, as well as the adoption of appropriate measures to address them as soon as possible. A…
Descriptors: Traffic Safety, Computation, Mathematics, Incidence
Potgieter, Cornelis; Kamata, Akihito; Kara, Yusuf – Grantee Submission, 2017
This study proposes a two-part model that includes components for reading accuracy and reading speed. The speed component is a log-normal factor model, for which speed data are measured by reading time for each sentence being assessed. The accuracy component is a binomial-count factor model, where the accuracy data are measured by the number of…
Descriptors: Reading Rate, Oral Reading, Accuracy, Models
Lee, Victor Eugene – ProQuest LLC, 2012
With the rise of the internet, mobile communications, electronic transactions, and personal broadcasting, the scale of connectedness has grown immensely. Not only can an individual interact with thousands and millions of others, but details about those interactions are being stored in databases, for later retrieval and analysis. Two key concepts…
Descriptors: Networks, Role, Computation, Graphs
Duan, Lian – ProQuest LLC, 2012
Finding the most interesting correlations among items is essential for problems in many commercial, medical, and scientific domains. For example, what kinds of items should be recommended with regard to what has been purchased by a customer? How to arrange the store shelf in order to increase sales? How to partition the whole social network into…
Descriptors: Correlation, Measurement, Measurement Techniques, Measurement Objectives
Carrillo, Rafael E. – ProQuest LLC, 2012
Compressed sensing (CS) is an emerging signal acquisition framework that goes against the traditional Nyquist sampling paradigm. CS demonstrates that a sparse, or compressible, signal can be acquired using a low rate acquisition process. Since noise is always present in practical data acquisition systems, sensing and reconstruction methods are…
Descriptors: Mathematics, Computation, Sampling, Data Collection
Day, Lawrence – Physics Teacher, 2007
Converting between degrees Celsius and degrees Fahrenheit isn't difficult. Remembering when to multiply by 5/9 or 9/5 and whether you have to add 32 or subtract 32 makes it fairly easy. Sometimes, though, fairly easy isn't easy enough. Students have trouble remembering the order of operations: "Do I add or subtract 32, and is that before or after…
Descriptors: Science Instruction, Computation, Mathematics, Climate
The Impact of Teachers' Characteristics and Self-Reported Practices on Students' Algebra Achievement
Cope, Liza M. – ProQuest LLC, 2013
This study examined the impact of teachers' characteristics and self-reported practices on students' Algebra achievement while controlling for students' characteristics. This study is based on the secondary analysis of data collected from a nationally representative sample of 9 th grade students and their mathematics teachers during…
Descriptors: Teacher Characteristics, Educational Practices, Measurement Techniques, Algebra
Lee, Sik-Yum; Lu, Bin – Multivariate Behavioral Research, 2003
In this article, a case-deletion procedure is proposed to detect influential observations in a nonlinear structural equation model. The key idea is to develop the diagnostic measures based on the conditional expectation of the complete-data log-likelihood function in the EM algorithm. An one-step pseudo approximation is proposed to reduce the…
Descriptors: Structural Equation Models, Computation, Mathematics, Simulation
Rogers, William M.; Schmitt, Neal – Multivariate Behavioral Research, 2004
Manifest variables in covariance structure analysis are often combined to form parcels for use as indicators in a measurement model. The purpose of the present study was to evaluate four empirical algorithms for creating such parcels, focusing on the effects of dimensionality on accuracy of parameter estimation and model fit. Results suggest that…
Descriptors: Mathematics, Meta Analysis, Computation, Comparative Analysis

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