Search for dissertations about: "Inferential Statistics"

Showing result 1 - 5 of 42 swedish dissertations containing the words Inferential Statistics.

  2. 1. On Methods for Real Time Sampling and Distributions in Sampling

    Author : Kadri Meister; Daniel Thorburn; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Mathematical statistics; Finite population sampling; inferential issues; real time sampling; sequential sampling methods; negative sampling correlations; model-design-based inference; multivariate Bernoulli and multinomial designs; Matematisk statistik; Mathematical statistics; Matematisk statistik; Mathematical Statistics; matematisk statistik;

    Abstract : This thesis is composed of six papers, all dealing with the issue of sampling from a finite population. We consider two different topics: real time sampling and distributions in sampling. The main focus is on Papers A–C, where a somewhat special sampling situation referred to as real time sampling is studied. READ MORE

  4. 2. Monte Carlo Results for Bootstrap Tests in Systems with Integrated-Cointegrated Variables

    Author : Panagiotis Mantalos; Statistiska institutionen; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; actuarial mathematics; programming; operations research; Statistics; Granger-causality; Monte Carlo; Cointegration; Bootstrap; Statistik; operationsanalys; programmering; aktuariematematik;

    Abstract : When we study the properties of a test procedure, two aspects are of prime importance. Firstly, we wish to know if the actual size of the test (i.e., the probability of rejecting the null when true) is close to the nominal size (used for calculating the critical values). READ MORE

  5. 3. Studies in respondent-driven sampling : Directed networks, epidemics, and random walks

    Author : Jens Malmros; Tom Britton; Fredrik Liljeros; Erik Volz; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Mathematical Statistics; matematisk statistik;

    Abstract : Respondent-driven sampling (RDS) is a link-tracing sampling methodology especially suitable for sampling hidden populations. A clever sampling mechanism and inferential procedures that facilitate asymptotically unbiased population estimates has contributed to the rising popularity of the method. READ MORE

  6. 4. Bayesian Sequential Inference for Dynamic Regression Models

    Author : Parfait Munezero; Mattias Villani; Helga Wagner; Stockholms universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Bayesian sequential inference; Dynamic regression models; Particle filter; Online prediction; Particle smoothing; Linear Bayes; Statistics; statistik;

    Abstract : Many processes evolve over time and statistical models need to be adaptive to change. This thesis proposes flexible models and statistical methods for inference about a data generating process that varies over time. The models considered are quite general dynamic predictive models with parameters linked to a set of covariates via link functions. READ MORE

  7. 5. Correlated random effects models for clustered survival data

    Author : Frank Eriksson; Göteborgs universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; competing risks; case-cohort; semiparametric; Survival analysis; random effects; routine register; frailty model; Survival analysis; frailty model; competing risks; random effects; case-cohort; routine register; semiparametric;

    Abstract : Frailty models are frequently used to analyse clustered survival data in medical contexts. The frailties, or random effects, are used to model the association between individual survival times within clusters. READ MORE