Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 12 of 12 for “"model diagnostics"”.
-
Combining smart model diagnostics and effective data collection for snow catchments
… risk management. Good explanatory power of flood models requires a meaningful representation of bio-physical processes. Therefore great interest exists to improve the process representation. Progress in hydrological process understanding is achieved through a learning cycle including critical …
-
Structure of an east coast cyclone derived from airborne radar and model diagnostics
… with Weather Research and Forecasting (WRF) Model thermodynamic fields and air-parcel back trajectories from the HYSPLIT model are used to determine causes of finescale features of a northeast U.S. cyclone and link them to synoptic and air mass structure. The storm intensified and propagated …
-
Diagnostics for generalized linear models
… can capture departures from a parametrized model. In this thesis we look at how the generalized linear model has become one of the most important developments in statistics in the last thirty years, and on the adequacy of regression model diagnostics that are meaningful and significant in a …
-
Factors that impact on South African REITs trading at a discount or premium to their NAV
… regression analysis using a linear mixed effects model was carried out in order to test whether the factors identified in the literature impacted on the NAV spread of SA REITs. Five rational and four irrational factors were regressed against two versions of NAV discount, namely, using a …
-
Spatio-Temporal Dependence of Precipitation over the Contiguous United States
… applicable to scales relevant to global climate models, regional models and hydrological runoff models, through a series of three papers.The first section of the dissertation is motivated by the fact that climate models are unable to account for the variability of precipitation within a grid box, …
-
Fractional Polynomial Response Surfaces and Tests for "Bumpature"
<p> Low-order polynomial models often do not fit curvilinear relationships well. Even if these models provide adequate fit, there are often problems with error assumptions and, with quadratic models, perhaps a spurious minimum or maximum in the fitted surface. With limited data, nonparametric …
-
Improved statistical quantitation of dynamic PET scans
… methods including Patlak and compartmental modeling are well-established with a given form of residue function (constant or mixture of exponentials), but they are not flexible to represent data in which in-vivo biochemistry is not clear, especially for the whole-body imaging on the long …
-
CONTINENTAL SCALE DIAGNOSTIC EVALUATION OF MONTHLY WATER BALANCE MODELS FOR THE UNITED STATES
Water balance models are important for the characterization of hydrologic systems, to help understand regional scale dynamics, and to identify hydro-climatic trends and systematic biases in data. Because existing models have, to-date, only been tested on data sets of limited spatial …
-
Topics on multiple hypotheses testing and generalized linear model
… inverse sampling scheme-based regression models are used. The new model, based on generalized inverse sampling scheme for several special events, is developed in this dissertation. This research is an adaption to the widely used multinomial logistic regression model. The resulting …
-
Modelling survival in HIV cohorts with applications to data from Zomba, Malawi
… sarcoma during routine initiation of ART, (2) to model the survival pattern among HIV patients diagnosed with KS, (3) to model local geographical variations in survival among HIV patients on ART, (4) to quantify transition dynamics in HIV and TB co-infection using multi-state modelling. For the …
-
A variance shift model for outlier detection and estimation in linear and linear mixed models
… methods to detecting outliers in linear mixed models has not been entirely successful, in the literature. This thesis focuses on a variance shift outlier model as an approach to detecting and assessing outliers in both linear fixed effects and linear mixed effects analysis. A variance shift …
-
Diagnostics for joint models for longitudinal and survival data
Joint models for longitudinal and survival data are a class of models that jointly analyse an outcome repeatedly observed over time such as a bio-marker and associated event times. These models are useful in two practical applications; firstly focusing on survival outcome whilst accounting for time …