Sökning: "Rolf Sundberg"

Visar resultat 1 - 5 av 7 avhandlingar innehållade orden Rolf Sundberg.

  1. 1. Maximum likelihood theory and applications for distributions generated when observing a function of an exponential family variable

    Författare :Rolf Sundberg; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : .... LÄS MER

  2. 2. Evaluation of climate model simulations by means of statistical methods

    Författare :Ekaterina Fetisova; Gudrun Brattström; Rolf Sundberg; Anders Moberg; Peter Guttorp; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Climate models; Climate proxy; Pseudo-proxy experiment; Factor analysis; the Wald confidence interval; the Fieller confidence set.; Mathematical Statistics; matematisk statistik;

    Sammanfattning : Evaluation of climate model simulations is a key issue within climate research. The statistical framework proposed by Sundberg et al., 2012, provides a theoretical underpinning of methods for evaluation of climate models by use of climateproxy data from the last millennium. LÄS MER

  3. 3. Regression methods in multidimensional prediction and estimation

    Författare :Anders Björkström; Rolf Sundberg; Philip J Brown; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; regression; prediction; principal compnents regression; ridge regression; partial least squares; Mathematical statistics; Matematisk statistik; matematisk statistik; Mathematical Statistics;

    Sammanfattning : In regression with near collinear explanatory variables, the least squares predictor has large variance. Ordinary least squares regression (OLSR) often leads to unrealistic regression coefficients. Several regularized regression methods have been proposed as alternatives. LÄS MER

  4. 4. Toward Sequential Data Assimilation for NWP Models Using Kalman Filter Tools

    Författare :Jelena Bojarova; Rolf Sundberg; Krzysztof Podgorski; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; non-Gaussian state space models; Kalman filtering; ETKF; 3D-Var; data assimilation; NWP; Mathematical statistics; Matematisk statistik; matematisk statistik; Mathematical Statistics;

    Sammanfattning : The aim of the meteorological data assimilation is to provide an initial field for Numerical Weather Prediction (NWP) and to sequentially update the knowledge about it using available observations. Kalman filtering is a robust technique for the sequential estimation of the unobservable model state based on the linear regression concept. LÄS MER

  5. 5. Sensitivity and Uncertainty Analysis Methods : with Applications to a Road Traffic Emission Model

    Författare :Olle Eriksson; Stig Danielsson; Rolf Sundberg; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Emission; Grid; Model; Pollutant; Response surface; Road traffic; Sensitivity analysis; Simulation; Uncertainty analysis; Avgaser; Vägtrafik; Miljöaspekter; Statistics; Statistik;

    Sammanfattning : There is always a need to study the properties of complex input–output systems, properties that may be very difficult to determine. Two such properties are the output’s sensitivity to changes in the inputs and the output’s uncertainty if the inputs are uncertain. LÄS MER