V.: "Advanced and multivariate statistical methods: practical application and interpretatio"; New York, NY: Routledge, (2016). Retrieved from https://goo.gl/AEXoCVMertler, C. A., & Vannatta, R. A. (2010). Advan
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multivariate regression tree (MRTcanonical correspondence analysis (CCAPollen and spore forecasting has become an important aim in aerobiology. The main goal is to provide accurate information on biological particles in the air to sensitive users in order to help them optimize their treatment process....
IBM® SPSS® Advanced Statistics provides a comprehensive suite of univariate and multivariate analysis tools to uncover deeper insights from your data, including: Advanced methods such as general linear models (GLM) and generalized linear models (GENLIN) enable you to analyze both continuous and ...
Obtaining GLM Multivariate Tables 1. From the menus choose: 2 IBM SPSS Advanced Statistics 26 Analyze > General Linear Model > Multivariate... 2. Select at least two dependent variables. Optionally, you can specify Fixed Factor(s), Covariate(s), and WLS Weight. GLM Multivariate Model Specify...
The fab could conduct a multivariate analysis to enhance condition-based monitoring—a maintenance strategy that involves examining certain indicators to determine if equipment performance is decreasing. Among other benefits, the analysis would help the fab to predict more accurately when parts o...
nature of diagnostic data and diversified technical configurations of the facilities, it was necessary to develop and implement multivariate analytical models including data fusion and artificial intelligence techniques. Consequently, it allows to avoid failures, supports scheduling repairs, and finally ...
Patten,M.L.(2012).Understandingresearchmethods:Anoverviewoftheessentials(8 th ed.).Glendale,CA: PyrczakPublishing. Mertler,C.A.,&Vannatta,R.A.(2010).Advancedandmultivariatestatisticalmethods(4 th ed.).Glendale,CA: PyrczakPublishing. BlueBookseriesbyStatisticalAssociatesPublishingathttp://.statistical...
et al. Flood susceptibility mapping utilizing the integration of geospatial and multivariate statistical analysis, Erbil area in Northern Iraq as a case study. Scientific Reports, 2023, 13(1): 11919. 159. Jung, K., An, H., Hwang, S. et al. Assessing the Suitability of the Flood ...