Sökning: "Bootstrap method"

Visar resultat 6 - 10 av 46 avhandlingar innehållade orden Bootstrap method.

  1. 6. Chemometric methods for analysis of spectroscopic data from batch process monitoring

    Författare :Erik Furusjö; KTH; []
    Nyckelord :in situ spectroscopy; reaction monitoring; organic synthesis; solubility; crystallization; multivariate calibration; curve resolution; kinetic model; reaction rate constant; activation energy; target testing; bootstrap;

    Sammanfattning : Understanding of a process is essential for processdevelopment, optimisation and scale-up. In situ spectroscopy isan attractive measurement technique that can increase processunderstanding, since samples need not be retrieved from theprocess mixture. LÄS MER

  3. 7. Issues in Estimation and Application of Long Distance Travel Demand Models

    Författare :Muriel Beser Hugosson; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Intercity travel; logit model; market segments; stated preference; bootstrap; heteroscedastic extreme value model; nested logit;

    Sammanfattning : Forecasts of the demand for long distance travel areessential for many decisions, such as infrastructureinvestments, operators´management policies etc. Manyresearch issues are related to this field, and the purpose ofthis thesis is to contribute to some of them. LÄS MER

  4. 8. On the Application of the Bootstrap : Coefficient of Variation, Contingency Table, Information Theory and Ranked Set Sampling

    Författare :Saeid Amiri; Silvelyn Zwanzig; Rolf Larsson; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Bootstrap method; Categorical data; Coefficient of variation; Entropy; Exponential family; Monte Carlo investigation; Informational energy; Ranked set sampling; Variance-stabilization transformation; Statistics; Statistik;

    Sammanfattning : This thesis deals with the bootstrap method. Three decades after the seminal paper by Bradly Efron, still the horizons of this method need more exploration. The research presented herein has stepped into different fields of statistics where the bootstrap method can be utilized as a fundamental statistical tool in almost any application. LÄS MER

  5. 9. Learning local predictive accuracy for expert evaluation and forecast combination

    Författare :Oscar Oelrich; Mattias Villani; Francesco Ravazzolo; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Bayesian; forecast combination; predictive density; Gaussian process; bootstrap; Bayes factors; model selection; Bayesian predictive synthesis; nonparametric methods; power transformation; expected log predictive density; variable selection; statistik; Statistics;

    Sammanfattning : This thesis consists of four papers that study several topics related to expert evaluation and aggregation. Paper I explores the properties of Bayes factors. Bayes factors, which are used for Bayesian hypothesis testing as well as to aggregate models using Bayesian model averaging, are sometimes observed to behave erratically. LÄS MER

  7. 10. Resampling in network modeling of high-dimensional genomic data

    Författare :Jonatan Kallus; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; high-dimensional data; sparsity; model selection; bootstrap; genomics; graphical modeling;

    Sammanfattning : Network modeling is an effective approach for the interpretation of high-dimensional data sets for which a sparse dependence structure can be assumed. Genomic data is a challenging and important example. In genomics, network modeling aids the discovery of biological mechanistic relationships and therapeutic targets. LÄS MER