Sökning: "multivariate generalized least squares"
Visar resultat 1 - 5 av 6 avhandlingar innehållade orden multivariate generalized least squares.
1. Bilinear Regression and Second Order Calibration
Sammanfattning : We consider calibration of second-order (or "hyphenated") instruments for chemical analysis. Many such instruments generate bilinear two-way (matrix) type data for each specimen. The bilinear regression model is to be estimated from a number of specimens of known composition. LÄS MER
2. A multivariate approach to characterization of drug-like molecules, proteins and the interactions between them
Sammanfattning : En sjukdom kan många gånger härledas till en kaskadereaktion mellan proteiner, co-faktorer och substrat. Denna kaskadreaktion blir många gånger målet för att behandla sjukdomen med läkemedel. För att designa nya läkemedelsmoleyler används vanligen datorbaserade verktyg. LÄS MER
3. Modeling financial volatility : A functional approach with applications to Swedish limit order book data
Sammanfattning : This thesis is designed to offer an approach to modeling volatility in the Swedish limit order market. Realized quadratic variation is used as an estimator of the integrated variance, which is a measure of the variability of a stochastic process in continuous time. LÄS MER
4. On Detection and Estimation of Multiple Sources in Radar Array Processing
Sammanfattning : This thesis deals with detection and estimation problems in sensor array signal processing. We treat the multiple hypothesis problem for complex sinusoids observed in spatially colored noise. LÄS MER
5. On Median and Ridge Estimation of SURE Models
Sammanfattning : This doctoral dissertation is a progressive generalization of some of the robust estimation methods in order to make those methods applicable to the estimation of the Seemingly Unrelated Regression Equations (SURE) models. The robust methods are each of the Least Absolute Deviations (LAD) estimation method, also known as the median regression, and the ridge estimation method. LÄS MER