Titlebook: Developments in Soil Classification, Land Use Planning and Policy Implications; Innovative Thinking Shabbir A. Shahid,Faisal K. Taha,Mahmo

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https://doi.org/10.1007/978-3-662-47238-5The goal of this paper is to compare three estimation methods in analysing a confirmatory factor analysis model using a Monte Carlo simulation design. Nonnormal data are generated and analysed to assess the effects of sample size and estimation methods on parameter bias, standard errors, and chi-square test values.

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Performance Evaluation and Sensitivity Analysis of Expert-Based, Statistical, Machine Learning, and Landslides are active natural hazards in many areas of the world. Landslides damage and destroy man-made structures and landforms, causing many deaths and injuries every year.

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Antonella Lerario,Nicola MaiellaroThere are different possibilities to define . in a triadic formal context. We discuss several such notions. Our main interest is to give compact descriptions and to use them for an algorithm that generates these implications. Our findings are illustrated by a small example.

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Towards Equity in Mathematics EducationBusiness-to-business (B2B) integration can be achieved by programming using a programming language or by modeling in a modeling and execution environment that provides semantic B2B integration concepts. This panel will discuss if semantic B2B integration by modeling is superior to integration by programming.

SLING

Spatial Prediction of Landslide-Prone Areas Through ,-Nearest Neighbor Algorithm and Logistic RegresRapid urban growth and climate change in recent years have resulted in many environmental problems and increased risks due to natural disasters.