Sökning: "random regression"

Visar resultat 1 - 5 av 140 avhandlingar innehållade orden random regression.

1. 1. Monotonic regression for large multivariate datasets

   Författare :Oleg Sysoev; Panos Pardalos; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Statistics; Statistik;

   Sammanfattning : Monotonic regression is a non-parametric statistical method that is designed especially for applications in which the expected value of a response variable increases or decreases in one or more explanatory variables. Such applications can be found in business, physics, biology, medicine, signal processing, and other areas. LÄS MER

3. 2. Tests of random effects in linear and non-linear models

   Författare :Erling Häggström Lundevaller; Umeå universitet; []
   Nyckelord :Random effects; score test; NLS; heteroskedasticity; measurement error; Poisson regression; trip frequencies; Statistics; statistik;

   Sammanfattning : .... LÄS MER

4. 3. Correlated random effects models for clustered survival data

   Författare :Frank Eriksson; Göteborgs universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; competing risks; case-cohort; semiparametric; Survival analysis; random effects; routine register; frailty model; Survival analysis; frailty model; competing risks; random effects; case-cohort; routine register; semiparametric;

   Sammanfattning : Frailty models are frequently used to analyse clustered survival data in medical contexts. The frailties, or random effects, are used to model the association between individual survival times within clusters. LÄS MER

5. 4. Models and Methods for Random Fields in Spatial Statistics with Computational Efficiency from Markov Properties

   Författare :David Bolin; Matematisk statistik; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; random fields; Gaussian Markov random fields; Matérn covariances; stochastic partial differential equations; Computational efficiency;

   Sammanfattning : The focus of this work is on the development of new random field models and methods suitable for the analysis of large environmental data sets. A large part is devoted to a number of extensions to the newly proposed Stochastic Partial Differential Equation (SPDE) approach for representing Gaussian fields using Gaussian Markov Random Fields (GMRFs). LÄS MER

7. 5. Multiple Time Scales and Longitudinal Measurements in Event History Analysis

   Författare :Danardono; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Statistics; Cox regression; multiple events; proportiona hazards; random effects; survival analysis; time-dependent covariates; time origin; Statistik; Statistics; Statistik; Statistics; statistik;

   Sammanfattning : A general time-to-event data analysis known as event history analysis is considered. The focus is on the analysis of time-to-event data using Cox's regression model when the time to the event may be measured from different origins giving several observable time scales and when longitudinal measurements are involved. LÄS MER