Sökning: "spatial statistics"

Visar resultat 1 - 5 av 132 avhandlingar innehållade orden spatial statistics.

  1. 1. Satistical Modelling Of CO2 Exchange Between Land And Atmosphere : Using Stochastic Optimisation And Gaussian Markov Random Fields

    Detta är en avhandling från Mathematical Statistics, Centre for Mathematical Sciences, Lund University

    Författare :Unn Dahlén; Lund University.; Lunds universitet.; Lund University.; Lund University.; Lunds universitet.; Lund University.; Lunds universitet.; [2019-08-27]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Gaussiska Markovfält; Stokastisk optimering; CO2-flöden; Spatial statistik; Stochastic Optimisation; Gaussian Markov Random Fields; Atmospheric inverse modelling; Spatial statistics; Computational statistics;

    Sammanfattning : This thesis focuses on the development and application of efficient mathematicaltools for estimating and modelling the exchange of carbon dioxide (CO2) between the Earth and its atmosphere; here referred to as the global CO2 surface flux.There are two main approaches for estimating the CO2 flux: Processed based(bottom-up) modelling and atmospheric inversion (top-down) modelling. LÄS MER

  2. 2. Spatial Statistics and Ancestral Recombination Graphs with Applications in Gene Mapping and Geostatistics

    Detta är en avhandling från Mathematical Statistics, Centre for Mathematical Sciences, Lund University

    Författare :Linda Werner Hartman; Lund University.; Lunds universitet.; [2007]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Genetik; Genetics; cytogenetics; cytogenetik; genetic association analysis; ancestral recombination graph Generalized linear mixed models; kriging; bilinear interpolation; Gaussian Markov random fields; Statistics;

    Sammanfattning : This thesis explores models and algorithms in geostatistics and gene mapping. The first part deals with the use of computationally effective lattice models for inference of data with a continuous spatial index. LÄS MER

  3. 3. Applications of Rice's formula in oceanographic and environmental problems

    Detta är en avhandling från KFS AB

    Författare :Sofia Åberg; Lund University.; Lunds universitet.; [2007]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; operations research; programming; actuarial mathematics; Statistik; operationsanalys; Statistics; Encountering waves; Gaussian random fields; Palm distributions; Rice s formula; wave statistics; level crossings; programmering; aktuariematematik;

    Sammanfattning : This thesis is based on five papers (A-E), all treating various applications of Rice's formula. The areas of application are oceanographic and environmental problems. The first three papers treat properties of encountering waves, that is, waves that a ship encounters while sailing on the ocean. LÄS MER

  4. 4. Spatial sampling and prediction

    Detta är en avhandling från Umeå : Umeå universitet

    Författare :Lina Schelin; Umeå universitet.; [2012]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Auxiliary variables; Censoring; Inclusion probabilities; Kriging; Local pivotal method; Minimum detection limit; Prediction intervals; Representative sample; Spatial process; Spatial sampling; Semiparametric bootstrap; Mathematical Statistics; matematisk statistik;

    Sammanfattning : This thesis discusses two aspects of spatial statistics: sampling and prediction. In spatial statistics, we observe some phenomena in space. Space is typically of two or three dimensions, but can be of higher dimension. LÄS MER

  5. 5. On flexible random field models for spatial statistics: Spatial mixture models and deformed SPDE models

    Detta är en avhandling från Umeå : Umeå universitet

    Författare :Anders Hildeman; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Spatial statistics; Significant wave height; Spatial mixture model; Stochastic partial differential equation; Log-Gaussian Cox process; Point process; Gaussian random field; Substitute-CT;

    Sammanfattning : Spatial random fields are one of the key concepts in statistical analysis of spatial data. The random field explains the spatial dependency and serves the purpose of regularizing interpolation of measured values or to act as an explanatory model. LÄS MER