Sökning: "Generalized linear models"

Visar resultat 16 - 20 av 83 uppsatser innehållade orden Generalized linear models.

  1. 16. An Investigation of How Well Random Forest Regression Can Predict Demand : Is Random Forest Regression better at predicting the sell-through of close to date products at different discount levels than a basic linear model?

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Estrid Jonsson; Sara Fredrikson; [2021]
    Nyckelord :Random Forest Regression; Linear Regression; Food Waste; Demand Prediction;

    Sammanfattning : Allt eftersom klimatkrisen fortskrider ökar engagemanget kring hållbarhet inom företag. Växthusgaser är ett av de största problemen och matsvinn har därför fått mycket uppmärksamhet sedan det utnämndes till den tredje största bidragaren till de globala utsläppen. LÄS MER

  3. 17. Is Successful Retrieval Of Memory Inherently Satisfying?

    Master-uppsats, Umeå universitet/Institutionen för psykologi

    Författare :Michael John Christopher Wells; [2021]
    Nyckelord :curiosity; memory; satisfaction; encoding; recall; reward; nyfikenhet; minne; tillfredsställelse; kodning; återkallelse; belöning;

    Sammanfattning : Previous studies concerning the study of Curiosity have found the presence of a reward mechanism when Curiosity is satiated. This study aims to investigate whether this reward mechanism might be extrapolated to other cognitive systems, specifically that of long-term memory. LÄS MER

  4. 18. Management and site conditions drive carbon dynamics of Forest understory vegetation

    Master-uppsats, SLU/Southern Swedish Forest Research Centre

    Författare :Emily Delin; [2021]
    Nyckelord :carbon sequestration; forest floor vegetation; ground vegetation; mixed model; Sweden;

    Sammanfattning : The forest understory vegetation is largely disregarded in studies of carbon sequestration despite notable contribution to storage and cycling in the ecosystem. In addition to already lacking knowledge on this pool independently, further uncertainty and change is introduced by forest management and the changing climate. LÄS MER

  5. 19. Variable selection for generalized linear mixed model by L1 penalization for predicting clinical parameters of ovarian cancer

    Kandidat-uppsats, Lunds universitet/Matematisk statistik

    Författare :Lan Hoa Diep; [2021]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : The quantity of biomarkers, which are proteins in this case, in ovarian cancer (OC) tumor and immune tissue regions of interest (ROIs) were measured with the new technology Digital Spatial Profiler (DSP). These measurements were used to construct regression models on the biomarkers to predict for two clinical parameters; tumor type (”Type 1” vs ”Type 2”) and the immune infiltration type (”Cavities” vs ”Dispersed”). LÄS MER

  7. 20. Beech provenance trail in Sweden : growth and timber quality evaluation

    Master-uppsats, SLU/Southern Swedish Forest Research Centre

    Författare :Lukás Vanícek; [2021]
    Nyckelord :Beech; climate change; growth; provenance; Sweden; timber quality;

    Sammanfattning : Provenance trails allow to test tree growth differences and meet current requirements for timber quality in a particular experimental site. The aim of this manuscript was to distinguish the differences in growth and timber quality features between European beech (Fagus sylvatica L. LÄS MER