Search for dissertations about: "sampling theory"
Showing result 1  5 of 181 swedish dissertations containing the words sampling theory.

1. On unequal probability sampling designs
University dissertation from Umeå : Department of Mathematics and Mathematical Statistics, Umeå UniversityAbstract : 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

2. Contributions to the theory of unequal probability sampling
University dissertation from Umeå : Institutionen för Matematik och Matematisk Statistik, Umeå universitetAbstract : 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

3. On Methods for Real Time Sampling and Distributions in Sampling
University dissertation from Umeå : Matematisk statistikAbstract : 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. Unequal Probability Sampling in Active Learning and Traffic Safety
University dissertation from ; Chalmers tekniska högskola; GothenburgAbstract : 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

5. Techniques to Calculate Exact Inclusion Probabilities for Conditional Poisson Sampling and Pareto .pi.ps Sampling Designs
University dissertation from Göteborg : Chalmers University of TechnologyAbstract : This thesis consists of five papers and treats two finite population sampling methods, viz. the Conditional Poisson and the Pareto .pi.ps sampling schemes. READ MORE