Sökning: "Finite population sampling"

Visar resultat 1 - 5 av 10 avhandlingar innehållade orden Finite population sampling.

  1. 1. On unequal probability sampling designs

    Författare :Anton Grafström; Lennart Bondesson; Sara De Luna; Imbi Traat; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; conditional Poisson sampling; correlated Poisson sampling; entropy; extended Sampford sampling; Horvitz-Thompson estimator; inclusion probabilities; list-sequential sampling; non-rejective implementation; Pareto sampling; Poisson sampling; probability functions; ratio estimator; real-time sampling; repeated Poisson sampling; Sampford sampling; sampling designs; splitting method; unequal probability sampling; Mathematical statistics; Matematisk statistik; Mathematical Statistics; matematisk statistik;

    Sammanfattning : The main objective in sampling is to select a sample from a population in order to estimate some unknown population parameter, usually a total or a mean of some interesting variable. When the units in the population do not have the same probability of being included in a sample, it is called unequal probability sampling. LÄS MER

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

    Författare :Kadri Meister; Daniel Thorburn; Umeå universitet; []
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  4. 3. Contributions to the theory of unequal probability sampling

    Författare :Anders Lundquist; Lennart Bondesson; Aleksandras Plikusas; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; balanced sampling; conditional Poisson sampling; inclusion probabilities; maximum entropy; Markov chain Monte Carlo; Pareto sampling; Sampford sampling; unequal probability sampling.; Mathematical statistics; Matematisk statistik; Mathematical Statistics; matematisk statistik;

    Sammanfattning : This thesis consists of five papers related to the theory of unequal probability sampling from a finite population. Generally, it is assumed that we wish to make modelassisted inference, i.e. the inclusion probability for each unit in the population is prescribed before the sample is selected. LÄS MER

  5. 4. Techniques to Calculate Exact Inclusion Probabilities for Conditional Poisson Sampling and Pareto .pi.ps Sampling Designs

    Författare :Nibia Aires; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; sampling theory; conditional Poisson sampling; Pareto pips sampling; order sampling; numerical integration; algorithms; sampling theory;

    Sammanfattning : This thesis consists of five papers and treats two finite population sampling methods, viz. the Conditional Poisson and the Pareto .pi.ps sampling schemes. LÄS MER

  7. 5. Unequal Probability Sampling in Active Learning and Traffic Safety

    Författare :Henrik Imberg; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; naturalistic driving; active learning; sampling weighing; optimal design; sequential sampling; probability sampling;

    Sammanfattning : This thesis addresses a problem arising in large and expensive experiments where incomplete data come in abundance but statistical analyses require collection of additional information, which is costly. Out of practical and economical considerations, it is necessary to restrict the analysis to a subset of the original database, which inevitably will cause a loss of valuable information; thus, choosing this subset in a manner that captures as much of the available information as possible is essential. LÄS MER