Results 21 to 30 of about 34,600,335 (260)
PLoS ONE, 2020 BACKGROUND:Many methods of spatial smoothing have been developed, for both point data as well as areal data. In Bayesian spatial models, this is achieved by purposefully designed prior(s) or smoothing functions which smooth estimates towards a local or ...
Earl W Duncan, Kerrie L Mengersen
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On the Sequential Hierarchical Cognitive Diagnostic Model
Frontiers in Psychology, 2020 Model data fit plays an important role in any statistical analysis, and the primary goal is to detect the preferred model based on certain criteria. Under the cognitive diagnostic assessment (CDA) framework, a family of sequential cognitive diagnostic ...
Xue Zhang, Juntao Wang
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Social Determinants of Health, 2022 Background: This study aimed to design a model of students’ academic well-being based on the role of perceived social support and cognitive flexibility mediated by psychological hardiness.
Azam Vaziri Nasab +3 more
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Structural Equation Modeling of Job Engagement in Pediatric Nurses Based on the Job Crafting Model [PDF]
Child Health Nursing Research, 2020 Purpose The goal of this study was to construct a structural equation model of job engagement in pediatric nurses based on Tims and Bakker's job crafting model.
Jung Mi Kang, Hun Ha Cho
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The inert doublet model in the light of Fermi-LAT gamma-ray data: a global fit analysis
European Physical Journal C: Particles and Fields, 2017 We perform a global fit within the inert doublet model taking into account experimental observables from colliders, direct and indirect dark matter searches and theoretical constraints.
Benedikt Eiteneuer +2 more
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Goodness of fit in models for mortality data [PDF]
, 2008 Mortality data on an aggregate level are characterized by very large sample sizes. For this reason, uninformative outcomes are evident in common Goodness-of-Fit measures.
Durbán, María +2 more
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An Online Test for Goodness-of-Fit in Logistic Regression Model
IEEE Access, 2019 In past decades, the goodness-of-fit test has been widely used to evaluate the calibration of prediction models. The test helps to determine whether poor predictions (lack of fit) are significant, which would indicate that problems exist in the model ...
Yuke Qiu, Liu Liu, Xin Lai, Yuwen Qiu
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Evaluating Model Fit in Two-Level Mokken Scale Analysis
Psych, 2023 Currently, two-level Mokken scale analysis for clustered test data is being developed. This paper contributes to this development by providing model-fit procedures for two-level Mokken scale analysis.
Letty Koopman +2 more
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Improved Performance of Model Fit Indices with Small Sample Sizes in Cognitive Diagnostic Models
International Journal of Assessment Tools in Education, 2019 Selecting an appropriate cognitive diagnostic model (CDM) for data analysis is always challenging. Studies have explored several model fit indices for CDMs.
Ya-huei Yang, Hueying Tzou
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SI epidemic model applied to COVID-19 data in mainland China [PDF]
Royal Society Open Science, 2020 The article is devoted to the parameters identification in the SI model. We consider several methods, starting with an exponential fit to the early cumulative data of SARS-CoV2 in mainland China.
J. Demongeot, Q. Griette, P. Magal
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