Thesis (J.C.L.)--Catholic University of America, 1997. / Includes bibliographical references (leaves 53-58).

Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2008. / Committee Chair: Dr. Mark G. Allen; Committee Co-Chair: Dr. Oliver Brand; Committee Member: Dr. Andrew Peterson; Committee Member: Dr. Elliot Chaikof; Committee Member: Dr. Gregory Durgin; Committee Member: Dr. Robert Butera.

Thesis (J.C.L.)--Catholic University of America, 1997. / This is an electronic reproduction of TREN, #029-0390. Includes bibliographical references (leaves 53-58).

Thesis (Ph.D.)--Duquesne University, 2009. / Title from document title page. Abstract included in electronic submission form. Includes bibliographical references (p. 223-234) and index.

<p>Det här arbetet har med hjälp av en kvalitativ undersökning tagit fram framgångsfaktorer för parprogrammering. Detta har genomförts med hjälp av intervju samt enkätundersökningar med sex respondenter. Då litteraturen inte behandlar hur parprogrammering kan bli framgångsrikt har detta arbete haft som syfte för att göra detta. Resultatet har kategoriserats i fyra nivåer. Exempel på framtagna framgångsfaktorer är att:</p><p>• ledningen måste införskaffa kunskaper om parprogrammering</p><p>• projektledaren uppmuntrar till byte av par ofta</p><p>• projektdeltagarna är öppna och mottagbara för konstruktiv kritik</p>

<p>För att genomföra ett lyckat systemutvecklingsprojekt kan ett flertal utvecklingsmetoder användas. Utvecklingsmetoder hjälper till att undvika fallgropar under utvecklingsprocessen. De två typer av utvecklingsprocesser som arbetet baseras på är eXtreme Programming (XP) och Rational Unified Process (RUP).</p><p>Genom att identifiera skillnader samt hur XP och RUP kan kombineras, presenteras olika faktorer. En faktor är projektstorlek som enligt litteratur är den viktigaste faktorn vid valet mellan XP och RUP. Med hjälp av en enkätundersökning hos ett antal utvecklingsföretag har data samlats in för att ta reda på om projektstorlek är en huvudsaklig faktor för valet mellan XP och RUP. Undersökningen resulterar i att verifiera eller falsifiera om projektstorlek är en huvudsaklig faktor vid valet mellan XP och RUP. Undersökningen visar med hjälp av ett poängsystem att projektstorlek inte är den huvudsakliga faktorn, det vill säga att hypotesen om att projektstorlek är huvudsaklig, falsifieras</p>

Thesis (Ph. D.)--University of Washington, 2006. / Vita. Includes bibliographical references (leaves 87-96).

Proefschrift Universiteit Maastricht. / Met lit. opg. - Met samenvatting in het Nederlands.

Orientador: João Lima Sant'Anna Neto / Banca: Margarete Cristiane de Costa Trindade Amorim / Banca: José Tadeu Garcia Tommaselli / Banca: Inês Moresco Danni-Oliveira / Banca: Emerson Galvani / A análise dos modos de atuação dos mecanismos atmosféricos é uma das bases da ciência climatológica, pois, através dessas, os pesquisadores estão aptos a fazer as diagnoses regionais, as prognoses climáticas, avaliar o possível impacto de variações climáticas e desenvolver projetos para mitigá-los. Seguindo essa lógica, foi elaborada a análise de adversidade climática do oeste paulista e do norte do Paraná. Para a efetuação dessa tarefa, foi utilizada a técnica de análise rítmica de Monteiro, sendo pesquisados os anos de 1997, 1998 e 2001 nas localidades de Presidente Prudente, Maringá e Londrina. Além da pesquisa dos dados diários desses três anos, em que foram criados 108 gráficos de análise rítmica e 108 gráficos de eventos climáticos, foram analisados 27 anos de dados mensais e anuais (1976- 2003) que possibilitaram a elaboração de 54 figuras, 67 tabelas, 102 gráficos e 9 organogramas, em que foram analisadas as características atmosféricas regionais, observando possíveis tendências de alterações climáticas futuras. Foram constatados, ao longo da análise, que a área de estudo está passando por um processo de aquecimento de até 1ºC, além de um processo de fortalecimento sazonal, com as estações mais secas e chuvosas tornando-se mais bem definidas, o que pode causar, futuramente, uma maior quantidade de eventos extremos e adversidades climáticas, que, por sua vez, podem afetar as cidades e a produção agrícola. / Analyzing how the atmospheric mechanisms act is a great base of the climate science because it allows the researches to know about the regional weather aspects, to discuss the possible impact of climatic variations and to develop projects in order to protect the region against these possible variations in the soon future. Following this idea, we elaborated an analysis about hazards in the Western Sao Paolo State and the North Parana State in Brazil. We based on the Monteiro rhythm analysis method to study the cities Presidente Prudente, Maringa and Londrina in the years 1997, 1998 and 2001. Through the search of diary weather statistics we created 108 rhythm analysis graphics and 108 climatic event graphics. Besides them, we studied 27 years of mensal and annual statistics (1976 - 2003) which allowed the creation of 54 figures, 67 tables, 102 graphics and 9 examples. Through these we analyzed regional climatic aspects, searching for future tendencies of climate variations. It was verified by the analysis a warming of one Celsius degree at the studied areas and also a process of sazonalization which showed more clearly the division of wet and dry seasons. We see that it could result in the future more cases of hazards that could affect the cities and the agricultural production. The thesis revels that the climatic rhythms study, the interpretation of regional climatic variation and the study of the necessary actions to protect the areas against hazards are complex questions which involve great series of variables that, sometimes, the statistical techniques are not able to solve, despite its powerful and recognition in science. Because of that, it is extremely important the careful interpretation of climatic aspects by rhythm paradigm, mainly linking it with statistical techniques as well. / Doutor

This thesis uses statistical modelling to better understand the relationship between insured losses and hazard footprint characteristics for European windstorms (extra- tropical cyclones). The footprint of a windstorm is defined as the maximum wind gust speed to occur at a set of spatial locations over the duration of the storm. A better understanding of this relationship is required because the most damaging historical windstorms have had footprints with differing characteristics. Some have a large area of relatively low wind gust speeds, while others have a smaller area of higher wind gust speeds. In addition, this insight will help to explain the surprising, sharp decline in European wind related losses in the mid 1990’s. This novel exploration is based on 5730 high resolution model generated historical footprints (1979-2012) representing the whole European domain. Functions of extreme footprint wind gust speeds, known as storm severity measures, are developed to represent footprint characteristics. Exploratory data analysis is used to compare which storm severity measures are most successful at classifying 23 extreme windstorms, known to have caused large insured losses. Summarising the footprint using these scalar severity measures, however, fails to capture different combinations of spatial scale and local intensity characteristics. To overcome this, a novel statistical model for windstorm footprints is developed, initially for pairs of locations using a bivariate Gaussian copula model; subsequently extended to represent the whole European domain using a geostatistical spatial model. Throughout, the distribution of wind gust speeds at each location is modelled using a left-truncated Generalised Extreme Value (GEV) distribution. Synthetic footprints, simulated from the geostatistical model, are then used in a sensitivity study to explore whether the local intensity or spatial dependence structure of a footprint has the most influence on insured loss. This contributes a novel example of sensitivity analysis applied to a stochastic natural hazards model. The area of the footprint exceeding 25ms−1 over land is the most successful storm severity measure at classifying extreme loss windstorms, ranking all 23 within the top 18% of events. Marginally transformed wind gust speeds are identified as being asymptotically independent and second-order stationary, allowing for the spatial dependence to be represented by a geostatistical covariance function. The geostatistical windstorm footprint model is able to quickly (∼3 seconds) simulate synthetic footprints which realistically represent joint losses throughout Europe. The sensitivity study identifies that the left-truncated GEV parameters have a greater influence on insured loss than the geostatistical spatial dependence parameters. The observed decline in wind related losses in the 1990’s can therefore be attributed to a change in the local intensity rather than the spatial structure of footprint wind gust speeds.