Sökning: "Logistic Regression Analysis"
Visar resultat 26 - 30 av 524 uppsatser innehållade orden Logistic Regression Analysis.
26. The association between husband/partner’slevel of education and lifetime physicaldomestic violence against women agedbetween 15-49 years in Pakistan: Evidencefrom Pakistan Demography and HealthSurvey 2017-18
Master-uppsats, Uppsala universitet/Institutionen för kvinnors och barns hälsaSammanfattning : Background Each year almost 1 in 3 (27%) of women (15-49y) worldwide experience lifetime physical and/or sexual domestic violence by their husbands/partners; that is almost 736 million women worldwide. According to the PDHS 2017-18, the prevalence of DV is 24% in Pakistan. LÄS MER
27. K3 eller frivillig IFRS bland svenska onoterade företag : En kvantitativ studie om faktorer som påverkar företags val av redovisningsregelverk
Magister-uppsats, Högskolan i Borås/Akademin för textil, teknik och ekonomiSammanfattning : Det har länge funnits en önskan om att etablera ett globalt regelverk med redovisningsstandarder för att främja internationell handel och investeringar. Gemensamma standarder skulle bidra till större förståelse, öka transparensen, kvaliteten och jämförbarheten av finansiella rapporter på en global nivå. LÄS MER
28. Comparison of deep learning and model-based approaches for spatial profiling of the immune tumor environment on multiplex image data
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : The demographics of the tumor microenvironment (TME) impact the Immunotherapy responses for lung cancer patients. Given the heterogeneity of immune cells present within TME, the distribution patterns of different subpopulations of T-cells can be exploited to predict short-term or long-term survival of lung cancer patients. LÄS MER
29. Probability of Default Machine Learning Modeling : A Stress Testing Evaluation
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistikSammanfattning : This thesis aims to assist in the development of machine learning models tailored for stress testing. The main objective is to create models that can predict loan defaults while considering the impact of macroeconomic stress. LÄS MER
30. Using Social Media and Personality Predictions to Anticipate Startup Success
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : This thesis explores the potential of integrating predicted founder personalities, based on the Big 5 Personality Framework, into Machine Learning (ML) models to enhance the accuracy of early-stage startup success predictions. Leveraging Natural Language Processing (NLP) techniques, we extracted personality insights from founders' tweets, focusing on US startups funded between 2013 and 2015. LÄS MER