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Advanced Search Results For "LATENT variables"

1 - 10 of 8,868 results for
 "LATENT variables"
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Six Methods for Latent Moderation Analysis in Marketing Research: A Comparison and Guidelines.

Publication Type: Academic Journal

Source(s): Journal of Marketing Research (JMR). Oct2022, Vol. 59 Issue 5, p941-962. 22p. 2 Diagrams, 6 Charts, 2 Graphs.

Abstract: It is common in moderation analysis that at least one of the target moderation variables is latent and measured with measurement error. This article compares six methods for latent moderation analysis: multigroup, means, corrected means, factor scores,...

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Bayesian robust parameter design for ordered response.

Publication Type: Academic Journal

Source(s): International Journal of Production Research. Jun2022, Vol. 60 Issue 12, p3630-3650. 21p. 3 Diagrams, 7 Charts, 7 Graphs.

Abstract: Due to the nature of the quality characteristics, or there is no instrument available to measure the characteristics of interest, ordered data, e.g. 1 (poor), 2 (satisfactory), 3 (good), and 4 (excellent), often appears in industrial processes. Methods...

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Fluorographene with impurities as a biomimetic light-harvesting medium.

Publication Type: Academic Journal

Source(s): Journal of Chemical Physics. 5/14/2022, Vol. 156 Issue 18, p1-10. 10p.

Abstract: We investigate the prospect of using a two-dimensional material, fluorographene, to mimic the light-harvesting function of natural photosynthetic antennas. We show by quantum chemical calculations that isles of graphene in a fluorographene sheet can ac...

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Networks as mediating variables: a Bayesian latent space approach.

Publication Type: Academic Journal

Source(s): Statistical Methods & Applications. Oct2022, Vol. 31 Issue 4, p1015-1035. 21p.

Abstract: The use of network analysis to investigate social structures has recently seen a rise due to the high availability of data and the numerous insights it can provide into different fields. Most analyses focus on the topological characteristics of network...

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GEE-Assisted Forward Regression for Spatial Latent Variable Models.

Publication Type: Academic Journal

Source(s): Journal of Computational & Graphical Statistics. Oct-Dec2022, Vol. 31 Issue 4, p1013-1024. 12p.

Abstract: Multivariate spatial data, where multiple responses are recorded at a set of spatial locations, are widely collected in many disciplines. One common approach for analyzing such data is spatial generalized linear latent variable models (spatial GLLVMs),...

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A psychometric data science approach to study latent variables: a case of class quality and student satisfaction.

Publication Type: Academic Journal

Source(s): Total Quality Management & Business Excellence. Oct2022, Vol. 33 Issue 13/14, p1547-1572. 26p.

Abstract: Data science follows a data-driven approach focused on non-hypothesised pattern discovery from data in an automatic manner (or semi-automatic). Social science areas frequently address latent variables, whose study is mainly guided by a deductive paradi...

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DSTED: A Denoising Spatial–Temporal Encoder–Decoder Framework for Multistep Prediction of Burn-Through Point in Sintering Process.

Publication Type: Academic Journal

Source(s): IEEE Transactions on Industrial Electronics. Oct2022, Vol. 69 Issue 10, p10735-10744. 10p.

Abstract: Sinter ore is the main raw material of the blast furnace, and burn-through point (BTP) has a direct influence on the yield, quality, and energy consumption of the ironmaking process. Since iron ore sintering is a very complex industrial process with st...

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Triple Factorization-Like Symmetric NLF Models With Latent Item–Item Relationship.

Publication Type: Academic Journal

Source(s): IEEE Transactions on Systems, Man & Cybernetics. Systems. Oct2022, Vol. 52 Issue 10, p6073-6084. 12p.

Authors:

Abstract: Undirected, high-dimension and sparse (SHiDS) networks which are often encountered in industrial applications usually contain numerous useful information; thus, it is practically important to develop effective collaborative filtering methods to rigidly...

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Assessment of the feeling of burnout of border officers at Lisbon airport: Statistical contributions.

Publication Type: Conference

Source(s): AIP Conference Proceedings. 2022, Vol. 2611 Issue 1, p1-6. 6p.

Abstract: Border officers of Lisbon airport (Portugal) are, as professionals from other sectors of activity, exposed to various psychosocial stressors in their workplace. Thus, monitoring the professionals of this security service is important to understand thei...

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Fast and accurate variational inference for models with many latent variables.

Publication Type: Periodical

Source(s): Journal of Econometrics. Oct2022, Vol. 230 Issue 2, p339-362. 24p.

Abstract: Models with a large number of latent variables are often used to utilize the information in big or complex data, but can be difficult to estimate. Variational inference methods provide an attractive solution. These methods use an approximation to the p...

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