The forecasting of financial time series has been very important in both finance industry and academia for several years due to the volatile and unstable nature of financial systems. However, researchers believe that financial time series data can be modeled accurately, despite …
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Probabilistic models are often used in practice to represent and reason about uncertainty. A key reasoning task over them is finding the most probable assignment to all the unobserved variables given observations. This task called the most probable explanation (MPE) task has sev…
With the psychological constructs of coping and optimism as the overarching research interest shared by the two studies, different directions of inquiry could further probe into the life course theory, the stressor process, and the ecological system theory on work-family interac…
Student dropout is a problem that educational researchers have been concerned about for years. Much attention has been directed towards first-time freshman, who are particularly vulnerable at the beginning of their academic careers according to historical research data. Therefo…
The impacts of climate change will exacerbate humanitarian crises at a global level, and there is an urgent need to eliminate greenhouse gas (GHG) emissions from the power system infrastructure. While deploying clean energy resources in the current grid will help in decarbonizat…
In this dissertation we first modify profile empirical likelihood function conditioned on complete data to estimate the population mean in presence of missing values in the response variable. Also in Chapter 3 under the counterfactual potential outcome by Rubin (1974, 1976, 1977…
A presente dissertação, realizada no âmbito do Mestrado em Engenharia Industrial, do ramo de especialização em Logística e Distribuição, descreve o trabalho desenvolvido relativamente à otimização da gestão de inventário de baixa rotação na Leroy Merlin de Braga. A problemática …
Empirical studies have revealed that many financial asset returns are characterized by an asymmetric behavior of the volatility. Aside from asymmetry, another important stylized fact about the volatility is its long memory effect. Given that the computation of the volatility is …
Com a expansão da agropecuária brasileira, o aumento da exportação e do rigor na garantia de segurança alimentar é cada vez mais urgente existindo a necessidade de investir em tecnologias voltadas para a gestão de seus processos produtivos. Medir, planear, melhorar os resultados…
In 2020, COVID-19 became the first pandemic in the world’s history that brought the entire world to an abrupt and unexpected halt. Since the first reported case of the disease to date, the novel coronavirus has been able to wreak havoc in literary every corner of the globe and l…
Kimlik olgusu, sosyal psikoloji disiplini dahilinde, benlik sınıflandırmalarının soyutluk düzeyleri, kimlik boyutları ve motivasyonel içerimleri ile ‘süreç’; sosyal temsil nesnesi olarak ise ‘içerik’ açısından ele alınabilmektedir. Aleviliğin sosyo-tarihsel ve teozofik özgünlüğü…
Demografik yapı özelliği farklı olan yerlerde, izlenen metotlara göre değişkenlik gösterebilecek, tarih öğretimi problemleri çıkabilir. Bunu etkileyen unsurlar olarak, toplum yapısı, eğitim politikaları, öğretmen ve okul tutumları vb. sayılabilir. Bu problemin araştırılması için…
Bu tez çalışmasının birinci bölümünde, yapısal eşitlik modellemesinin tarihçesi genel olarak anlatılmış ve bu yöntemin zaman içerisinde göstermiş olduğu gelişmeler ele alınmıştır. Daha sonra, yapısal eşitlik modellemesi hakkında temel bilgiler verilmiş ve literatürde yer alan ça…
Development has been studied as a project pursued by imperialist nations to strengthen the social and economic order of empire and to curb communism. It was deployed just as frequently, however, in sovereign spaces. This project examines the efforts of the Italian intellectuals …
Stochastic precipitation generators (SPGs) are a class of statistical models which generate synthetic data that can simulate dry and wet rainfall stretches for long durations. Generated precipitation time series data are used in climate projections, impact assessment of extreme …
Predictive maintenance aims to minimize the downtime due to maintenance, while simultaneously minimizing the risk of unforeseen failures. Efforts in predictive maintenance have been focused on predicting the remaining useful life of a machine. There is need for a more comprehens…
“İbadetler Bağlamında Serahsî’nin Hanefî Mezhebindeki Tercihleri ve Gerekçeleri” isimli bu tez, bir giriş, iki bölüm ve bir istatistik ve değerlendirmeden oluşmaktadır. Giriş bölümünde konunun önemi, sınırları ve araştırmanın yöntemi ile kaynakları belirtilmiştir. Birinci bölümd…
In this dissertation, I study the impact of public policies on three related but distinct economic outcomes: employment, housing stability, and income inequality. In the second chapter, I examine the employment impact of the Paycheck Protection Program, a key element of the fede…
Biomarker discovery and statistical modeling reveals the brain activity that supports brain function and dysfunction. Detecting abnormal brain activity is critical for developing biomarkers of disease, elucidating disease mechanisms and evolution, and ultimately improving diseas…