Results 271 to 280 of about 95,821 (300)
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2014 IEEE Pacific Visualization Symposium, 2014
Measuring the similarity of integral curves is fundamental to many important flow data analysis and visualization tasks such as feature detection, pattern querying, streamline clustering and hierarchical exploration. In this paper, we introduce FlowString, a novel approach that extracts shape invariant features from streamlines and utilizes a string ...
null Jun Tao +2 more
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Measuring the similarity of integral curves is fundamental to many important flow data analysis and visualization tasks such as feature detection, pattern querying, streamline clustering and hierarchical exploration. In this paper, we introduce FlowString, a novel approach that extracts shape invariant features from streamlines and utilizes a string ...
null Jun Tao +2 more
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Invariant measures for white noise driven stochastic partial differential equations2
Stochastic Analysis and Applications, 1995We discuss invariant measures for a stochastic parabolic equation in one space dimension, driven by white ...
G. Da Prato, Etienne Pardoux
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Structural Equation Modeling: A Multidisciplinary Journal, 2017
The alignment method (Asparouhov & Muthen, 2014) is an alternative to multiple-group factor analysis for estimating measurement models and testing for measurement invariance across groups. Simulation studies evaluating the performance of the alignment for estimating measurement models across groups show promising results for continuous indicators. This
Jessica K. Flake, D. Betsy McCoach
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The alignment method (Asparouhov & Muthen, 2014) is an alternative to multiple-group factor analysis for estimating measurement models and testing for measurement invariance across groups. Simulation studies evaluating the performance of the alignment for estimating measurement models across groups show promising results for continuous indicators. This
Jessica K. Flake, D. Betsy McCoach
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Structural Equation Modeling: A Multidisciplinary Journal, 2020
Second-order latent growth models (SLGMs) have recently been highlighted over the traditional first-order latent growth model.
Min-Jeong Jeon, Su-Young Kim
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Second-order latent growth models (SLGMs) have recently been highlighted over the traditional first-order latent growth model.
Min-Jeong Jeon, Su-Young Kim
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International Journal of Public Administration, 2021
Kim et al. (2013) developed a four-dimensional 16-item measure of public service motivation (PSM), but it failed to achieve metric invariance across the 12 countries studied.
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Kim et al. (2013) developed a four-dimensional 16-item measure of public service motivation (PSM), but it failed to achieve metric invariance across the 12 countries studied.
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Educational and Psychological Measurement, 1989
The power of the likelihood ratio test in multiple group confirmatory factor analysis under partial measurement invariance is studied. A six-variable, two-factor model is considered where a specification error exists for one group. The size of the specification error as well as the size of the free parameters are varied.
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The power of the likelihood ratio test in multiple group confirmatory factor analysis under partial measurement invariance is studied. A six-variable, two-factor model is considered where a specification error exists for one group. The size of the specification error as well as the size of the free parameters are varied.
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
International Journal of Data Science and Analytics, 2023
Uday Kiran Rage +5 more
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Uday Kiran Rage +5 more
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