Sökning: "sample estimate"
Visar resultat 1 - 5 av 281 avhandlingar innehållade orden sample estimate.
1. Quantization of Random Processes and Related Statistical Problems
Sammanfattning : In this thesis we study a scalar uniform and non-uniform quantization of random processes (or signals) in average case setting. Quantization (or discretization) of a signal is a standard task in all nalog/digital devices (e.g., digital recorders, remote sensors etc. LÄS MER
2. Investigating the parameters that influence the behaviour of natural iron ores during the iron production process
Sammanfattning : In the iron production processes, sinters and pellets are mostly used as raw materials due to their consistency with respect to physical and chemical properties. However, natural iron ores, as mined, are rarely used directly as a feed material for iron processing. LÄS MER
3. Deriving landscape metrics from sample data
Sammanfattning : This thesis focuses on the efficiency of using sampling methods to derive landscape metrics. It also explores what sampling methods are to be preferred for different metrics and how metrics in some cases can be redefined to better suit a sample-based data collection framework. LÄS MER
4. Estimating Interviewer Effects in Sample Surveys : Some Contributions
Sammanfattning : This thesis focuses on measurement errors that could be ascribed to the interviewers. To study interviewer variability a measurement error model is formulated which makes a clear distinction between three sources of randomness: the sample selection, interviewer assignment, and interviewing. LÄS MER
5. Comparative network analysis of human cancer: sparse graphical models with modular constraints and sample size correction
Sammanfattning : In the study of transcriptional data for different groups (e.g. cancer types) it's reasonable to assume that some dependencies between genes on a transcriptional or genetic variants level are common across groups. Also, that this property is preserved locally, thus defining a modular structure in the model networks. LÄS MER