• Split-plot designs for multistage Experimentation 

      Tyssedal, John Sølve; Kulahci, Murat (Journal article; Peer reviewed, 2017)
      Most of today’s complex systems and processes involve several stages through which input or the raw material has to go before the final product is obtained. Also in many cases factors at different stages interact. Therefore, ...
    • Statistical Analysis of Metal Processes 

      Strand, Andreas (Master thesis, 2017)
      Electric smelting furnaces are complex systems that are not easily explained by a physical or chemical model. However, a statistical model based on observed quantities may be just as good. Among many attemps of modelling ...
    • Stokastisk analyse av råtepotensial i huskledning 

      Stokkenes Johansen, Øivind (Master thesis, 2007)
      Det er benyttet regresjonsanalyse for å analysere innsamlet data. For å unngå eller begrense effektene av multikolinearitet er ridgeregresjon tatt i bruk. Fordi målingene er korrelerte med hverandre er generaliserte ...
    • Stream-based active learning with linear models 

      Cacciarelli, Davide; Kulahci, Murat; Tyssedal, John Sølve (Journal article; Peer reviewed, 2022)
    • Survival Analysis with Deep Recurrent Neural Network Model for Prediction of Credit Card Defaults 

      Holte, Håkon Andersen (Master thesis, 2021)
      I denne oppgaven brukes en dyp nevral nettverksmodell kombinert med konsepter fra levetidsanalyse på sekvensielle kredittkortdata med det formål å predikere tid til mislighold for kredittkortkunder. Personlige økonomiske ...
    • The Choice of screening design 

      Tyssedal, John Sølve; Chaudhry, Muhammad Azam (Journal article; Peer reviewed, 2017)
      A screening design is an experimental plan used for identifying the expectedly few active factors from potentially many. In this paper, we compare the performances of 3 experimental plans, a Plackett-Burman design, a minimum ...