Sökning: "mortality forecasting"

Visar resultat 1 - 5 av 8 uppsatser innehållade orden mortality forecasting.

1. 1. The COVID-19 Pandemic and its Effects on Swedish Mortality

   Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

   Författare :Siri Voghera; Özlem Tepe; [2021]
   Nyckelord :COVID-19; Excess mortality; Mortality forecasting; Lee-Carter model; Bootstrap;

   Sammanfattning : This thesis analyses the COVID-19 pandemic’s effects on Swedish mortality during 2020 by investigating whether it has resulted in excess mortality. This is done using a stochastic mortality projection model from the Lee-Carter framework and by assuming the number of deaths follows a Poisson distribution. LÄS MER

3. 2. Testing the potential to evaluate vegetation optical depth with ecosystem water dynamics in a temperate forest

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Ainahu Abdul Hamid; [2021]
   Nyckelord :Physical geography; Ecosystem analysis; Vegetation optical depth; Temperate Forest; Climate; LPJ-GUESS; Evapotranspiration; Leaf water potential; Isohydricity; Hydraulic failure; Carbon starvation; Earth and Environmental Sciences;

   Sammanfattning : Warming trends have been associated with drought which induces and heightens agents and factors that cause tree mortality. Remotely sensed observations are increasingly being used in vegetation studies and are obtained from Earth observation satellites. LÄS MER

4. 3. Business analytics tools for data collection and analysis of COVID-19

   Master-uppsats, Linköpings universitet/Statistik och maskininlärning

   Författare :Härje Widing; [2021]
   Nyckelord :COVID-19; SARS-CoV-2; Pandemic; Business Intelligence; Seasonal Artificial Neural Network; Generalized Autoregressive Conditional Heteroscedasticity; Power BI;

   Sammanfattning : The pandemic that struck the entire world 2020 caused by the SARS-CoV-2 (COVID-19) virus, will have an enormous interest for statistical and economical analytics for a long time. While the pandemic of 2020 is not the first that struck the entire world, it is the first pandemic in history where the data were gathered to this extent. LÄS MER

5. 4. Forecasting Mortality Rates using the Weighted Hyndman-Ullah Method

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

   Författare :Anthony Kojo Ramos; [2021]
   Nyckelord :Mortality modelling; mortality forecasting; Lee–Carter method; singular value decomposition; functional demographic models; functional principal components analysis; mean forecast errors; ARIMA.;

   Sammanfattning : The performance of three methods of mortality modelling and forecasting are compared. These include the basic Lee–Carter and two functional demographic models; the basic Hyndman–Ullah and the weighted Hyndman–Ullah. LÄS MER

7. 5. Comparison of the 1st and 2nd order Lee–Carter methods with the robust Hyndman–Ullah method for fitting and forecasting mortality rates

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

   Författare :Emil Willersjö Nyfelt; [2020]
   Nyckelord :Mortality rate; Death rate; Data fitting; Lee-Carter; 2nd order Lee–Carter; Hyndman–Ullah; Modeling; ARIMA; Random walk; Singular Value Decomposition; Penalized Regression Splines; Weighted Functional Principal Component Analysis; Forecasting; Spanish flu; COVID-19;

   Sammanfattning : The 1st and 2nd order Lee–Carter methods were compared with the Hyndman–Ullah method in regards to goodness of fit and forecasting ability of mortality rates. Swedish population data was used from the Human Mortality Database. LÄS MER