Essays about: "sample of predictive research"
Showing result 1 - 5 of 38 essays containing the words sample of predictive research.
-
1. MODELING INPUT VARIABLE AGE IN SEPSIS PREDICTION USING TREE-BASED MODELS
University essay from Uppsala universitet/Statistiska institutionenAbstract : Last observation carried forward (LOCF) is a common imputation method, regularly used for clinical data. It is based on the principle that the most recent observation that is known is carried forward to replace missing values. READ MORE
-
2. Implementing SAE Techniques to Predict Global Spectacles Needs
University essay from Högskolan Dalarna/Institutionen för information och teknikAbstract : This study delves into the application of Small Area Estimation (SAE) techniques to enhance the accuracy of predicting global needs for assistive spectacles. By leveraging the power of SAE, the research undertakes a comprehensive exploration, employing arange of predictive models including Linear Regression (LR), Empirical Best Linear Unbiased Prediction (EBLUP), hglm (from R package) with Conditional Autoregressive (CAR), and Generalized Linear Mixed Models (GLMM). READ MORE
-
3. Silicon Drift Detector Simulations for Energy-Dispersive X-ray Spectroscopy in Scanning Electron Microscopy
University essay from Stockholms universitet/FysikumAbstract : Scanning Electron Microscopy combined with Energy Dispersive X-ray Spectroscopy (SEM-EDS) is a widely applied elemental microanalysis method. The integration of silicon drift detectors (SDDs) has notably enhanced EDS performance, enabling precise elemental identification due to its large sensitive area and low output capacitance. READ MORE
-
4. Data-Driven Success in Infrastructure Megaprojects. : Leveraging Machine Learning and Expert Insights for Enhanced Prediction and Efficiency
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This Master's thesis utilizes random forest and leave-one-out cross-validation to predict the success of megaprojects involving infrastructure. The goal was to enhance the efficiency of the design and engineering phase of the infrastructure and construction industries. READ MORE
-
5. Improving Missing Data Imputation using Generative Adversarial Network-based Methods
University essay from Lunds universitet/Matematisk statistikAbstract : In a modern context, organizations increasingly rely on data analysis and the importance of data quality have accordingly become even more crucial. In this context, missing values pose a significant challenge compromising the utility of the data. READ MORE