Sökning: "regression models"

Visar resultat 21 - 25 av 755 avhandlingar innehållade orden regression models.

  1. 21. Evaluation of regression methods for log-normal data - linear models for environmental exposure and biomarker outcomes

    Författare :Sara Gustavsson; Göteborgs universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; log-normal distribution; linear models; absolute effects;

    Sammanfattning : The identification and quantification of associations between variables is often of interest in occupational and environmental research, and regression analysis is commonly used to assess these associations. While exposures and biological data often have a positive skewness and can be approximated with the log-normal distribution, much of the inference in regression analysis is based on the normal distribution. LÄS MER

  2. 22. DIGIROP prediction models for severe retinopathy of prematurity

    Författare :Aldina Pivodic; Göteborgs universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; preterm birth; retinopathy of prematurity; prediction models; screening; clinical decision support tool;

    Sammanfattning : BACKGROUND: Retinopathy of prematurity (ROP), a preventable, potentially blinding eye disease, is primarily diagnosed in extremely preterm infants. Gestational age (GA) and birth weight (BW) are the most prominent risk factors. Routine ROP examinations are performed to identify the low proportion of infants who progress to needing treatment. LÄS MER

  3. 23. Bilinear and Trilinear Regression Models with Structured Covariance Matrices

    Författare :Joseph Nzabanita; Dietrich von Rosen; Martin Singull; Miguel Fonseca; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : This thesis focuses on the problem of estimating parameters in bilinear and trilinear regression models in which random errors are normally distributed. In these models the covariance matrix has a Kronecker product structure and some factor matrices may be linearly structured. LÄS MER

  4. 24. Exploring massively parallel models and architectures for efficient computation of evolutionary algorithms

    Författare :Sven Eklund; Högskolan Dalarna; []
    Nyckelord :evolutionary algorithms; genetic programming; linear machine code; distributed population models; diffusion model; symbolic function regression; time series forecasting; VHDL; FPGA;

    Sammanfattning : .... LÄS MER

  5. 25. Exploring Massively Parallel Models and Architectures for Efficient Computation of Evolutionary Algorithms

    Författare :Sven Eklund; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; distributed population models; evolutionary algorithms; symbolic function regression; genetic programming; linear machine code; Diffusion Model; time series forecasting; FPGA; VHDL;

    Sammanfattning : 'Evolutionary algorithms' is the collective name for a group of relatively new stochastic search algorithms that have several unique and interesting properties. However, as with all search algorithms, evolutionary algorithms also have disadvantages. LÄS MER