Search for dissertations about: "probability sampling"

Showing result 1 - 5 of 175 swedish dissertations containing the words probability sampling.

2. 1. On unequal probability sampling designs

   Author : Anton Grafström; Lennart Bondesson; Sara De Luna; Imbi Traat; Umeå universitet; []
   Keywords : 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;

   Abstract : 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. READ MORE

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

   Author : Anders Lundquist; Lennart Bondesson; Aleksandras Plikusas; Umeå universitet; []
   Keywords : 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;

   Abstract : 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. READ MORE

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

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

   Abstract : 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. READ MORE

6. 4. Essays on Sample Surveys : Design and Estimation

   Author : Edgar Bueno; Per Gösta Andersson; Maria Giovanna Ranalli; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; GREG estimator; mixture distribution; probability proportional to size sampling; sampling algorithms; sampling design; sampling strategy; survey sampling; stratified sampling; Statistics; statistik;

   Abstract : Sampling is a core stage in every survey. A sampling design carefully elaborated may imply not only a more accurate estimation of the parameters of interest, but also a reduction in the required sample size in a study. In this thesis we consider two particular but connected subjects. READ MORE

7. 5. 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