Sökning: "Akaike Information Criteria"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden Akaike Information Criteria.

  1. 1. Exchange Rate Analysis Between the U.S. Dollar and the Japanese Yen

    Kandidat-uppsats, Uppsala universitet/Statistik, AI och data science

    Författare :Yuta Sakiyama; [2023]
    Nyckelord :;

    Sammanfattning : The exchange data between the U.S. Dollar and Japanese Yen are analyzed with three models called the Auto-Regressive Integrated Moving- Average (ARIMA) model, the Generalized Auto-Regressive Conditional Heteroscedastic (GARCH) model, and the Fractional Differencing model. LÄS MER

  3. 2. Populations PK-modellering för IR-formulering av Gliclazid

    Master-uppsats, Uppsala universitet/Institutionen för farmaci

    Författare :Haneen Hussein; [2022]
    Nyckelord :Typ 2-diabetes; Gliclazid; Populations PK-modellering; Monolix;

    Sammanfattning : Introduction: Type-2 diabetes is one of the most common metabolic diseases characterized by elevated blood sugar levels in the body. The disease is caused by lost insulin sensitivity and insufficient insulin production, which leads to an increase in sugar levels in the blood. LÄS MER

  4. 3. Comparison of forest fire suppression in Quebec and Sweden : a historical review, 1998-2015

    Master-uppsats, SLU/Southern Swedish Forest Research Centre

    Författare :Maryjane Heckel; [2018]
    Nyckelord :boreal wildfire suppression; firefighting resource; deployment; effectiveness; aircraft; personnel; area burned; cost; efficiency; response time; remoteness; Sweden; Quebec;

    Sammanfattning : This study compared two suppression systems in Quebec and Sweden: a centralized wildfire agency working with remote fires in Quebec, and a decentralized fire suppression system in Sweden, with each municipality responsible for extinguishing fires in their community. Their management approaches reflect differences in population density and land area. LÄS MER

  5. 4. Classification of Hate Tweets and Their Reasons using SVM

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för datalogi

    Författare :Natalya Tarasova; [2016]
    Nyckelord :Support Vector Machines; classification; Akaike Information Criteria; machine learning; Twitter; hate tweets;

    Sammanfattning : Denna studie fokuserar på att klassificera hat-meddelanden riktade mot mobiloperatörerna Verizon,  AT&T and Sprint. Huvudsyftet är att med hjälp av maskininlärningsalgoritmen Support Vector Machines (SVM) klassificera meddelanden i fyra kategorier - Hat, Orsak, Explicit och Övrigt - för att kunna identifiera ett hat-meddelande och dess orsak. LÄS MER

  7. 5. Model risk quantification in option pricing

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Michael Montag; Fredrik Persson; [2015]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : This thesis investigates a methodology for quantification of model risk in option pricing. A set of different pricing models is specified and each model is assigned a probability weight based on the Akaike Information Criteria. It is then possible to obtain a price distribution of an exotic derivative from these probability weights. LÄS MER