Sökning: "unequal probability sampling."

Visar resultat 1 - 5 av 7 avhandlingar innehållade orden unequal probability 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. 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

4. 3. 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

5. 4. Optimal Subsampling Designs Under Measurement Constraints

   Författare :Henrik Imberg; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; inverse probability weighting; unequal probability sampling; optimal design; active sampling; M-estimation;

   Sammanfattning : We consider the problem of optimal subsample selection in an experiment setting where observing, or utilising, the full dataset for statistical analysis is practically unfeasible. This may be due to, e.g., computational, economic, or even ethical cost-constraints. LÄS MER

7. 5. 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