Sökning: "statistical modelling"

Visar resultat 1 - 5 av 201 uppsatser innehållade orden statistical modelling.

  1. 1. Reconstructing point patterns from spatially aggregated data

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Jens Michelsen; [2024-03-13]
    Nyckelord :lorem; ipsum; dolor; sit; amet; consectetur; adipisicing; elit; sed; do.;

    Sammanfattning : In this thesis we explore the ability to reconstruct samples (point configurations) from a point process, based only on the information contained in spatially aggregated data, namely the number of points in the partitions of a larger region. The ability to reconstruct a point configuration, in such a way that it retains most of it’s statistical properties, could be useful in cases where one is faced with a mixed dataset; some regions containing the full point configuration data, while other regions only contain aggregated data, i. LÄS MER

  3. 2. Assessing water balance and yields in Malawian cropping systems : maize soybean and maize Gliricidia systems resilience against climate change

    Master-uppsats, SLU/Dept. of Soil and Environment

    Författare :Danila Valeriano; [2024]
    Nyckelord :crop modelling; APSIM; Malawi; maize; soybean; Gliricidia; agroforestry; legume intercropping; climate predictions; climate adaptation; SDSM;

    Sammanfattning : In Malawi, maize monocultures are increasingly susceptible to extreme weather patterns, causing considerable yield reduction and heightened food insecurity for smallholder farmers dependent on rainfed subsistence agriculture. Diversifying cropping systems is crucial for ensuring yield resilience. LÄS MER

  4. 3. The Role of Uni- and Multivariate Bias Adjustment Methods for Future Hydrological Projections and Subsequent Decision-Making

    Master-uppsats, Uppsala universitet/Luft-, vatten- och landskapslära

    Författare :Anna Merle Liebenehm-Axmann; [2024]
    Nyckelord :Bias adjustment methods; future hydrological climate projections; statistical analysis; future streamflow analysis; biasjusteringsmetoder; framtida hydrologiska projektioner; statistisk analys; framtida vattenförings analys;

    Sammanfattning : Climate models are essential for generating future climate projections. However, due to simplifications, the models can produce systematic differences between output and reality, which is referred to as model bias. Bias adjustment methods aim to reduce this error, which is important for making future projections more reliable. LÄS MER

  5. 4. Mathematical modelling simulation data and artificial intelligence for the study of tumour-macrophage interaction

    Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Jaysmita Khanindra Chaliha; [2023]
    Nyckelord :;

    Sammanfattning : The study explores the integration of mathematical modelling and machine learning to understand tumour-macrophage interactions in the tumour microenvironment. It details mathematical models based on biochemistry and physics for predicting tumour dynamics, highlighting the role of macrophages. LÄS MER

  7. 5. On modelling OMXS30 stocks - comparison between ARMA models and neural networks

    Master-uppsats, Uppsala universitet/Matematiska institutionen

    Författare :Irina Zarankina; [2023]
    Nyckelord :ARMA; ARIMA; LSTM; time series; statistics;

    Sammanfattning : This thesis compares the results of the performance of the statistical Autoregressive integrated moving average (ARIMA) model and the neural network Long short-term model (LSTM) on a data set, which represents a market index. Both models are used to predict monthly, daily, and minute close prices of the OMX Stockholm 30 Index. LÄS MER