Essays about: "kategoriska variabler"

Showing result 1 - 5 of 12 essays containing the words kategoriska variabler.

  1. 1. Clustering of Unevenly Spaced Mixed Data Time Series

    University essay from KTH/Matematisk statistik

    Author : Pierre Sinander; Asik Ahmed; [2023]
    Keywords : mixed data time series; unevenly spaced time series; clustering; dynamic time warping; Gower dissimilarity; time warping regularisation; numeriska och kategoriska tidsserier; ojämnt fördelade tidsserier; kluster analys; dynamic time warping; Gower dissimilaritet; regularisering av tidsförvränging;

    Abstract : This thesis explores the feasibility of clustering mixed data and unevenly spaced time series for customer segmentation. The proposed method implements the Gower dissimilarity as the local distance function in dynamic time warping to calculate dissimilarities between mixed data time series. READ MORE

  3. 2. Evaluation of the decision-making process for credit decisions at Preem AB

    University essay from KTH/Matematisk statistik

    Author : Annie Holgersson; Theresa Döös; [2022]
    Keywords : credit; applied mathematics; statistics; logistic regression; kredit; tillämpad matematik; statistik; logistisk regression;

    Abstract : The purpose of the following bachelor thesis report within mathematical statistics was to evaluate the decision making process at the credit department at Preem AB. The study used a logistic regression model to find a relationship between the probability of an application for credit being accepted and some quantitative and categorical factors about the applicant. READ MORE

  4. 3. Forecasting Efficiency in Cryptocurrency Markets : A machine learning case study

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Erik Persson; [2022]
    Keywords : Cryptocurrencies; Financial time-series; Multi step-ahead forecasting; Machine Learning; Feature selection; Kryptovalutor; Finansiella tidsserier; Flerstegsprognoser; Maskininlärning; variabelselektion;

    Abstract : Financial time-series are not uncommon to research in an academic context. This is possibly not only due to its challenging nature with high levels of noise and non-stationary data, but because of the endless possibilities of features and problem formulations it creates. READ MORE

  5. 4. Sales Forecasting by Assembly of Multiple Machine Learning Methods : A stacking approach to supervised machine learning

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Anton Falk; Daniel Holmgren; [2021]
    Keywords : machine learning; statistical learning; statistics; random forest; xgboost; sarima; stacking; support vector regression; svr; linear regression; sales; sales forcasting; forecasting; time series;

    Abstract : Today, digitalization is a key factor for businesses to enhance growth and gain advantages and insight in their operations. Both in planning operations and understanding customers the digitalization processes today have key roles, and companies are spending more and more resources in this fields to gain critical insights and enhance growth. READ MORE

  6. 5. Identification of Phenotypes in Cardiac Arrest Patient Cohorts

    University essay from Lunds universitet/Matematisk statistik

    Author : Rebecca Lütz; [2021]
    Keywords : Mathematics and Statistics;

    Abstract : In this thesis, it is analysed if cardiac arrest patients can be grouped into similar clusters based on different underlying conditions and clinical variables and if there is a difference between clusters in either mortality or neurological outcome as measured by the Cerebral Performance Categories (CPC) scale. The two data sets both contain a targeted temperature management variable which indicates whether or not patients are cooled down upon arrival as well as a variety of continuous and categorical variables. READ MORE