.................................................................................................................... 2 Preface ....................................................................................................................... 3 Acknowledgements................................................................................................... 4 Chapter 1: Introduction .........

We consider multi-state capture-recapture-recovery data where observed individuals are recorded in a set of possible discrete states. Traditionally, the Arnason-Schwarz model has been fitted to such data where the state process is modeled as a first-order Markov chain, though second-order models have also been proposed and fitted to data. However, low-order Markov models may not accurately repr...

background : so far, several studies were conducted to estimate the prevalence of cigarette smoking in iran, but none of them used a statistical model to deal with unobserved smokers. the present study planned to estimate the accurate prevalence of cigarette smoking using mixture of truncated poisson distribution. methods : a cross-sectional study was conducted in hamadan, west of iran in 2009,...

a novel approach to determine optimal sampling locations under parameter uncertainty in a water distribution system (wds) for the purpose of its hydraulic model calibration is presented. the problem is formulated as a multi-objective optimisation problem under calibration parameter uncertainty. the objectives are to maximise the calibrated model accuracy and to minimise the number of sampling d...

The spatial variation of temperature is found to depend linearly on climate continentality, morphology the relief, position site with respect seas, in addition usual elevation, latitude and longitude predictors. There are other factors that can have an additional significant influence: big bodies water, terrain attributes atmospheric (local circulation), configuration aspect coasts vegetation. ...

This paper aims at investigating the integration of structured data into a semi-structured environment. In particular, it introduces the Cyclic Structure Converter (CSC) system that performs this task. In CSC, correspondence assertions and integration rules provide the adequate intelligence to reconcile the (possible) heterogeneous semantics relative to involved information sources. CSC has als...

This study extends the parametric estimation of the structural misclassification model (Arrieta, 2008) to analyze over-treatment of medical procedures to a semi-parametric estimation. The estimation is based on a doubleindex semi-parametric maximum likelihood with partial observability. The document shows that misspecification error due to an incorrect assumption about the error distribution ma...

DEFINITION Given a semi-structured data set D, a path query identifies nodes of interest by specifying the path lead to the nodes and the predicates associated with nodes along the path. The path is identified by specifying the labels of the nodes to be navigated and structural relationship (parent-child or ancestor-descendant) among the nodes. A predicate can be a path query itself, relative t...

the aim of present study was to determine the impact of two different icu management model, open and semi closed, on resources utilization in intensive care unit.retrospective cohort analysis using data from hospital database was applied to compare the effect of icu management model on icu length of stay and bed disposition of 1064 patients admitted to the general icu of imam khomeini hospital ...