This thesis develops new methodologies for applied problems using smoothing tech- niques for spatial or spatial temporal data. We investigate Bayesian ranking methods for identifying high risk areas in disease mapping, assessing these particularly with.
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The methodological strengths of staff are in spatial statistics and longitudinal data analysis. The applied research spans a wide range of clinical settings both in the UK and internationally with collaborations in Europe, Africa, North and South America.
PhD Thesis 2015. ii SUSTAINABLE MANAGEMENT OF TRANSBOUNDARY RIVER BASINS IN A CHANGING CLIMATE AND HUMAN-. 4.7 DROUGHT CHARACTERISTICS AND TEMPORAL-SPATIAL DYNAMICS. Table 4-1: Descriptive statistics of the unimpaired flow time series.. 90 Table 4-2: Percentages of altered mean annual flow to long-term unaltered mean.
This thesis develops statistical methodology for disease mapping, an increasingly important field of spatial epidemiology. Disease mapping has applications in public health by allowing for identification of areas which are at high risk of particular health problems.
The purpose of this thesis is to explore, apply and develop statistical tools in the area which has been called Spatial Statistics. Through all of this work, a key link is the use of smoothers. Specifically, loess and splines are used in the second chapter and kernel smoothers in the rest.
Cheng Liu, PhD Department of Statistics. Dissertation: Non-parametric Spatial Modeling M.S., Statistics, Washington State University, Pullman, WA Aug 2006 - May 2008 Thesis: Process Capability Indices for Multivariate Quality Control B.S., Information and Computing Science, HuaZhong.
Large carnivore attacks on humans: a worldwide study to investigate triggering factors, scenarios, spatial-temporal patterns and species attributes. PhD Thesis Discover the world's research.
Topics for PhD Theses and Master Theses Markus Schneider. This will later help you to find the gaps in your thesis, concept, and implementation. In the last phase, the thesis is written or completed. The single document can serve as the basis for. sions) and Spatial Graphs (Networks) PhD available.
Below is a list of PhD theses submitted by the students of the School of Mathematics.
Graduate Programs. The Department of Applied Mathematics and Statistics (AMS) prepares the next generation of mathematical and statistical scientists to be leaders in a world driven by increasingly complex technology and challenges. Our department is at the forefront of research in mathematical and statistical methods that are used to address.
Ph.D. in Geospatial Analytics. Our innovative Ph.D. program brings together departments from across NC State University to train a new generation of interdisciplinary data scientists skilled in developing novel understanding of spatial phenomena and in applying new knowledge to grand challenges.
The thesis is composed of four chapters, which investigate different topics in the field of applied urban and spatial economics. The first paper develops an original empirical approach to investigate the role played by labour markets in explaining the pattern of industrial agglomeration in the United States.
PhD Theses in Mathematical Statistics. Here is a list of PhD theses in mathematical statistics, sorted by the year of the defence. 2018.. Deijfen, Maria: Stochastic models for spatial growth and competition. 2001. Ripatti, Samuli: Latent variable models for multivariate survival and count data. 1999.
Ph.D. in Spatial And Earth Sciences.. Adv. Spatial Analysis and Quant. Methods ENVI 733 - Seminar in Earth and Environmental Systems. Cognate Courses Outside Department - 6 Hours outside the department The student's dissertation committee will determine courses to be taken within the major and outside the department, as well as additional.Spatial organisation and temporal dynamics of crops are often cited as important in influencing population dynamics, but are seldom studied in empirical and theoretical studies. The aim of this PhD thesis is to identify the effects of spatial and temporal heterogeneity of crops on spatial distribution and dynamics of populations.In response to a contemporary (Western) cultural disposition that is variously described as ocularcentric and disembodied, this project situates sound and listening as alternate potentialities for relating to, and understanding, the concrete spatial environment. This commentary puts forward a practice of listening — communicated through a series of works — that engages subjects in.