Sökning: "usa statistik"
Visar resultat 1 - 5 av 74 uppsatser innehållade orden usa statistik.
1. Evaluation of Open-source Threat Intelligence Platforms Considering Developments in Cyber Security
Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background. With the increase in cyberattacks and cyber related threats, it is of great concern that the area still lacks the needed amount of practitioners. Open-source threat intelligence platforms are free platforms hosting related information to cyber threats. LÄS MER
2. KAMPEN OM NYUTEXAMINERADE SJUKSKÖTERSKOR En litteraturstudie om faktorer som påverkar viljan att stanna på sin arbetsplats inom slutenvården
Kandidat-uppsats,Sammanfattning : Bakgrund: Bristen på sjuksköterskor sträcker sig över hela världen, vilket också speglas i aktuell statistik i Sverige. Detta skapar utmaningar i slutenvården, där en internmedicinsk vårdavdelning nu önskar få bättre förståelse för vilka faktorer som motiverar nyutexaminerade sjuksköterskor till att stanna kvar på sin första arbetsplats inom slutenvården. LÄS MER
3. Exchange Rate and Equity Market Dependence under Shifts in Volatility Expectations
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Exchange rate movements have important implications for both policy makers and investors, as they can have large effects on the real economy and the return on investments. Lately, their relation to capital flows have attracted growing interest due to the failure of macroeconomic fundamentals to explain them. LÄS MER
4. Increasing the Efficiency of CyberKnife Cancer Treatments by Faster Robot Traversal Paths
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : Cancer remains a significant global challenge, constituting one of the leading causes of death worldwide. With an aging population, the demand for cancer treatments is increasing. Nevertheless, due to technological advancements, cancer mortality rates are declining. LÄS MER
5. Nowcasting U.S. inflation using mixed frequency real-time data
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Different models were developed with the aim of nowcasting inflation at a daily basis with high frequency variables, while using real-time data to avoid look ahead bias. Both popular machine learning models such as Random Forest and XGBoost, and more traditional models such as UMIDAS and Almon distributed lag models were used to make the nowcasts. LÄS MER