Sökning: "common factor models"
Visar resultat 31 - 35 av 238 avhandlingar innehållade orden common factor models.
31. Robust Design Experimentation and Dispersion Effects
Sammanfattning : One of the most common methods in robust design methodology is design of experiments. This method makes it possible to identify settings of design factors that make products and production processes robust with respect to noise factors. LÄS MER
32. Epidemiological aspects of musculoskeletal pain in the upper body. Analyzing common and recurrent binary outcomes
Sammanfattning : The overall aim of this thesis is to gain epidemiological knowledge about musculoskeletal pain in the upper body in light physical work, in relation to gender, psychosocial factors, and computer use; and to compare different methods for analyzing common and recurrent binary outcomes. Two study groups were investigated using questionnaire data: (a) computer users in the Swedish workforce and (b) a cohort of university students. LÄS MER
33. Climate regulation provided by urban greening - examples from a high latitude city
Sammanfattning : Cities exert a strong influence on urban climate, and consequently on human health and wellbeing. This increases the importance of considering climate issues in urban planning, particularly in the context of global climate change. One of the key adaptation strategies in climate-sensitive planning is urban greenery. LÄS MER
34. Glycaemic control: evaluation of HbA1c as a risk factor and the effect of modern insulins in clinical practice
Sammanfattning : One of the ultimate goals of diabetes care is to minimise diabetic complications. When evaluating insulins it is important to understand what extent of improvements in glycaemic control is clinically relevant in preventing diabetic complications. LÄS MER
35. Essays on Panel Data with Multidimensional Unobserved Heterogeneity
Sammanfattning : This thesis contributes to econometric methodology in terms of estimation and inference in static panel data models with unobserved multidimensional heterogeneity. When not properly accounted for, unobserved heterogeneity may introduce bias into the parameter estimates associated with covariates of interest, such as treatment indicators or determinants of macroeconomic indicators. LÄS MER