Sökning: "kurtosis"

Visar resultat 1 - 5 av 53 uppsatser innehållade ordet kurtosis.

1. 1. Texture Analysis and Ultra high-frequency ultrasound in use for diagnosing Hirschsprung's disease

   Kandidat-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

   Författare :Sophia Klarén; Jonathan Jedhammar; [2023]
   Nyckelord :Hirschsprung s disease; Aganglionosis; UHF ultrasound; Texture analysis; Nakagami; Skewness; Kurtosis; Technology and Engineering;

   Sammanfattning : An investigation into the use of statistical texture analysis in combination with ultra high-frequency ultrasound for diagnosing Hirschsprung’s disease (HD); An illness that manifests itself through the absence of ganglia cells in lower parts of the intestine. Current diagnostic techniques carry a higher risk of long-term consequences in newborns and children which enables a new avenue of research into new methods. LÄS MER

3. 2. Credit scoring using Logistic regression

   Master-uppsats, Mälardalens universitet/Akademin för utbildning, kultur och kommunikation

   Författare :Iftho Hara Khanam; [2023]
   Nyckelord :Kurtosis; Skewness; Winsorization; Logistic regression analysis; Maximum likelihood estimation; Newton–Raphson method; T–ratio test; P-value; LR test;

   Sammanfattning : In this thesis, we present the use of logistic regression method to develop a credit scoring modelusing the raw data of 4447 customers of a bank. The data of customers is collected under 14independent explanatory variables and 1 default indicator. The objective of this thesis is toidentify optimal coefficients. LÄS MER

4. 3. Hållbarhet och fondprestation

   Kandidat-uppsats,

   Författare :Ludvig Johansson; Alva Mentor; [2022-07-11]
   Nyckelord :Sustainability; CAPM; Sharpe ratio; Treynor ratio; Swedish funds;

   Sammanfattning : The purpose of this paper is to conduct research regarding fund performance based on Morningstar’s Sustainability Rating, with the aim of drawing conclusions about whether funds with high sustainability rating perform differently than funds with low sustainability rating. A quantitative method was used to investigate fund performance over the last three years, regarding 20 Swedish funds investing on the Swedish market. LÄS MER

5. 4. Automatic classification of cardiovascular age of healthy people by dynamical patterns of the heart rhythm

   Master-uppsats, Linköpings universitet/Statistik och maskininlärning

   Författare :priya kurian pullolickal; [2022]
   Nyckelord :Electrocardiogram ECG measures the electrical impulses of the heart. The time inter- val between two successive R peaks measured in millisecond using an ECG is called as an RR-interval. The distribution of the RR-intervals as well as classification of cardiovascu- lar age of healthy people from RR-interval was done in this thesis. For that; the data was preprocessed and time series plots were analyzed from sample dataset. The RR-intervals were then aligned to have the same start time using functions written and then an aver- age RR-interval series for each decade was created. The coefficient of variation was very less for this averaged dataset which concluded that averaging the RR-interval was a good approach. The averaged dataset per age decade as well agreed to the conclusion of the sample data set that the heart rate variability decreases with increasing age. Three clusters of age decade were also visible in the averaged dataset. The kurtosis; skew; mean; me- dian; histograms and Q-Q Plot were calculated for the sample as well as averaged dataset to find the distribution. The values all concluded that the RR-intervals follow Gaussian distribution or mixture of Gaussian distribution. The Poincaré plots showed that the dis- tribution of RR-interval is comet shaped for healthy individuals. The features were ex- tracted from the distribution as well as from the distribution of Discrete Fourier Transform DFT for classifying the age group from RR-intervals. Svitzky-Golay filtering was done to smooth the signal before taking the features from DFT. Random Forest and Support Vector Machine was the machine learning algorithms used to classify the age decade. Later the results were compared using a dataset from physionet that had RR-intervals of individuals suffering from myocardial infraction. The age classification using Random Forest and Sup- port Vector Machine concluded that the Gdańsk dataset using Random Forest Algorithm and three classes gave the highest test accuracy of 59% for the dataset.;

   Sammanfattning : .... LÄS MER

7. 5. Investigating the collective behaviour of the stock market using Agent-Based Modelling

   Kandidat-uppsats, Mälardalens universitet/Akademin för utbildning, kultur och kommunikation

   Författare :Christoffer Björklöf; [2022]
   Nyckelord :Stock market; Complex systems; Agent-Based Modelling; Financial Time Series; Kurtosis; Mean; Variance;

   Sammanfattning : The stock market is a place in which numerous entities interact, operate, andchange state based on the decisions they make. Further, the stock market itselfevolves and changes its dynamics over time as a consequence of the individualactions taking place in it. In this sense, the stock market can be viewed andtreated as a complex adaptive system. LÄS MER