The Bolivian foreign exchange market is explained in terms of the official and parallel exchange rates. The data covers the post hyper inflationary period from 1986 to 1992. The distribution of the rate of depreciation of the official and parallel exchange rates is long tailed and strongly departs from normality due to the existence of outliers. A market interactions model of the autoregressive kind is estimated using robust regression. This procedure produces M-parameter estimates using iteratively reweighted least squares. The robust method handles well the outlier problem and at the same time it reveals the true nature of the statistical properties of the data by not being able to produce white noise in the squared residuals. Both markets show a one-time break in the variance creating two periods of differential behavior, with one of them having GARCH properties. Robust unit root and cointegration tests also fail to produce white noise squared residuals due to the same phenomena. Further research requires the development of a robust procedure that could take care of the outlier and heteroskedasticity problems simultaneously.

A design of experiments methodology was used to investigate the effect of vaporgrown carbon nanofiber (VGCNF) weight fraction, high-shear mixing time, and ultrasonication time on the Izod impact strength of vinyl ester (VE) based nanocomposites. A response surface model (RSM) was developed for predicting impact strengths using a regression analysis approach. The RSM predicts a maximum increase in impact strength of 18% at a VGCNF weight fraction of 0.17 parts per hundred parts resin (phr) (a volume percent of ~0.1) and 100 min high-shear mixing when compared to that of neat VE. The impact strength predictions show an initial increase for low VGCNF weight fractions and extended high-shear mixing. However, a marked decrease in impact strength occurred as the VGCNF weight fraction increased above 0.45 phr. Scanning electron micrographs of the fracture surface of several specimens suggest that the impact strength of VGCNF/VE nanocomposites is directly related to nanofiber dispersion.

Ocean Ambient Noise covers wide range except target signal in the sonar equation and is an influential parameter in sonar performance. Empirical equation obtained from linear regression of wind speed and ambient noise data is a common method to predict the noise level. Both ambient noise and wind speed data collected from experiments in southwest and northeast Taiwan sea were analyzed in statistics and time series. Experiment data was also used for prediction equations and further analysis. Coefficient of determination (r2) and F-test for the slope of the regression line were used to estimate how noise fit with wind speed data and the credibility of the regression. The result of the analysis was that the distribution of r2 changes with regions. The values of r2 calculated from northeast experiment data are higher than southwest because of the high percentage of high wind speed. The data from the northeast experiment is considered more appropriate for the prediction of noise level because the higher value of r2. All results of F-test showed the correlation between wind speed are statistically significant except the winter data in the southwest experiment. By using these two indicators, the credibility of the prediction equation can be realized and the prediction performance of sonar is promoted.

Snoring is a highly prevalent disorder affecting 20-40% of adult population. Snoring is also a major indicative of obstructive sleep apnea (OSA). Despite the magnitude of effort, the acoustical properties of snoring in relation to physiological states are not yet known. This thesis explores statistical properties of snoring sounds and their association with OSA. First, an unsupervised technique was developed to automatically extract the snoring sound segments from the lengthy recordings of respiratory sounds. This technique was tested over 5665 snoring sound segments of 30 participants and the detection accuracy of 98.6% was obtained. Second, the relationship between anthropometric parameters of snorers with different degrees of obstruction and their snoring sounds’ statistical characteristics was investigated. Snoring sounds are non-Gaussian in nature; thus second order statistical methods such as power spectral analysis would be inadequate to extract information from snoring sounds. Therefore, higher order statistical features, in addition to the second order ones, were extracted. Third, the variability of snoring sound segments within and between 57 snorers with and without OSA was investigated. It was found that the sound characteristics of non-apneic (when there is no apneic event), hypopneic (when there is hypopnea), and post-apneic (after apnea) snoring events were significantly different. Then, this variability of snoring sounds was used as a signature to discriminate the non-OSA snorers from OSA snorers. The accuracy was found to be 96.4%. Finally, it was observed that some snorers formed distinct clusters of snoring sounds in a multidimensional feature space. Hence, using Polysomnography (PSG) information, the dependency of snoring sounds on body position, sleep stage, and blood oxygen level was investigated. It was found that all the three variables affected snoring sounds. However, body position was found to have the highest effect on the characteristics of snoring sounds. In conclusion, snoring sounds analysis offers valuable information on the upper airway physiological state and pathology. Thus, snoring sound analysis may further find its use in determining the exact state and location of obstruction.

Snoring is a highly prevalent disorder affecting 20-40% of adult population. Snoring is also a major indicative of obstructive sleep apnea (OSA). Despite the magnitude of effort, the acoustical properties of snoring in relation to physiological states are not yet known. This thesis explores statistical properties of snoring sounds and their association with OSA. First, an unsupervised technique was developed to automatically extract the snoring sound segments from the lengthy recordings of respiratory sounds. This technique was tested over 5665 snoring sound segments of 30 participants and the detection accuracy of 98.6% was obtained. Second, the relationship between anthropometric parameters of snorers with different degrees of obstruction and their snoring sounds’ statistical characteristics was investigated. Snoring sounds are non-Gaussian in nature; thus second order statistical methods such as power spectral analysis would be inadequate to extract information from snoring sounds. Therefore, higher order statistical features, in addition to the second order ones, were extracted. Third, the variability of snoring sound segments within and between 57 snorers with and without OSA was investigated. It was found that the sound characteristics of non-apneic (when there is no apneic event), hypopneic (when there is hypopnea), and post-apneic (after apnea) snoring events were significantly different. Then, this variability of snoring sounds was used as a signature to discriminate the non-OSA snorers from OSA snorers. The accuracy was found to be 96.4%. Finally, it was observed that some snorers formed distinct clusters of snoring sounds in a multidimensional feature space. Hence, using Polysomnography (PSG) information, the dependency of snoring sounds on body position, sleep stage, and blood oxygen level was investigated. It was found that all the three variables affected snoring sounds. However, body position was found to have the highest effect on the characteristics of snoring sounds. In conclusion, snoring sounds analysis offers valuable information on the upper airway physiological state and pathology. Thus, snoring sound analysis may further find its use in determining the exact state and location of obstruction.

yes / This paper presents test results of six concrete beams reinforced with longitudinal carbon fiber reinforced polymer (CFRP) bars and without vertical shear reinforcement. All beams were tested under a two-point loading system to investigate shear behavior of CFRP reinforced concrete beams. Beam depth and amount of CFRP reinforcement were the main parameters investigated. All beams failed due to a sudden diagonal shear crack at almost 45°. A simplified, empirical expression for the shear capacity of FRP reinforced concrete members accounting for most influential parameters is developed based on the design-by-testing approach using a large database of 134 specimens collected from the literature including the beams tested in this study. The equations of six existing design standards for shear capacity of FRP reinforced concrete beams have also been evaluated using the large database collected. The existing shear design methods for FRP reinforced concrete beams give either conservative or unsafe predictions for many specimens in the database and their accuracy are mostly dependent on the effective depth and type of FRP reinforcement. On the other hand, the proposed equation provides reasonably accurate shear capacity predictions for a wide range of FRP reinforced concrete beams.

No description available.

Compreender os fatores que afetam a distribuição das espécies tem sido um dos principais objetivos dos ecólogos. Atualmente, sabe-se que os processos ecológicos e evolutivos moldam a dinâmica de especiação e extinção de espécies, e determinam a distribuição e abundância das mesmas. Ao longo dos últimos anos, tem havido um aumento no número de estudos que utilizam informação filogenética para explicar as dinâmicas populacionais e as distribuições de espécies, e que buscam identificar os mecanismos responsáveis pela montagem das comunidades. Interações das espécies, sejam elas intraespecífica, interespecífica ou com o ambiente, ocorrem baseadas nas diferenças e semelhanças fenotípicas. Essas variações fenotípicas tem origem na evolução das espécies, e com isso espera-se que as espécies proximamente relacionadas tendam a ser ecologicamente mais semelhantes entre si do que as espécies distantemente relacionadas. Esta concepção tem dado origem a um conceito importante, com implicações para estudos tanto ecológicos quanto evolutivos: o conceito de conservação filogenética de nicho, isto é, quando as espécies relacionadas mantêm seus nichos ancestrais ao longo do tempo evolutivo. Esse padrão tem importância para diversas áreas de ecologia, permitindo a ligação das espécies aos processos ecológicos e auxiliando na maior compreensão da ecologia evolutiva das diferentes linhagens. Devido à sua importância, é fundamental o desenvolvimento de métodos estatísticos adequados para quantificar esses padrões e inferir os processos que o subjazem. Atualmente, os métodos utilizados para inferir conservação filogenética de nicho são, em sua maioria, incompatíveis com determinados conceitos ecológicos e não abrangem todos os tipos de dados e esse fato explica uma visão incompleta dos processos presentes nas comunidades e conflitante com o objetivo de muitos estudos ecológicos e conservacionistas que buscam vincular as espécies aos processos ecológicos e evolutivos. Desta forma, o principal objetivo desta tese é propor novos métodos para quantificar o sinal filogenético que integrem diferentes aspectos do conceito de nicho ecológico. Apresentamos aqui os novos métodos em detalhes e avaliamos suas propriedades estatísticas (erro tipo I e poder estatístico) por meio de dados simulados. No capítulo 1, nós propomos um método para medir sinal filogenético utilizando o teste de Mantel, incorporando modelos evolutivos para testar hipóteses específicas da evolução dos atributos. No capítulo 2, descrevemos um conjunto de funções e um novo pacote estatístico para explorar os padrões filogenéticos no nível de metacomunidade. Este pacote permite explorar a distribuição de linhagens filogenéticas através de gradientes ecológicos, a análise de sinal filogenético no nível da metacomunidade e explorar a associação entre clados e gradientes ecológicos. No capítulo 3, investigamos a relação entre sinal filogenético dos atributos com os padrões de coocorrência das espécies nos níveis da comunidade. Esta abordagem permite testar se espécies filogeneticamente relacionadas que coocorrem expressam as suas dimensões de nicho com maior semelhança do que seria esperado por modelos neutros de evolução. Por fim, testamos as propriedades estatísticas destes métodos em relação dois modelos nulos, que incorporam diferentes aspectos da estrutura da comunidade e evolução dos atributos das espécies. Os três capítulos representam diferentes trabalhos que se interconectam no sentido de elucidar o conceito de sinal filogenético e conservação filogenética de nicho. / Understanding the factors that can affect species distributions has been a main goal of ecologists. Currently, it is known that evolutionary and ecological processes shape the speciation dynamics, species extinction and determine the distribution and abundance of species. Over the last years, there has been an increase in the number of studies using phylogenetic information to explain the dynamics of population, species distribution and identifying the mechanisms of community assembly. Species interactions – intraspecific, interspecific or with the environment – occur based on their phenotypic differences and similarities. As phenotypic variation has a basis in evolutionary history, it is expected that closely related species tend to be more ecologically similar to each other than distantly related ones. This notion has given rise to an important concept, with implications for both evolutionary and ecological studies: the concept of phylogenetic niche conservatism, that is, when related species maintain their ancestral niches over evolutionary time. This pattern is important for several areas of ecology, and allows to link species to ecological processes and to understand the evolutionary ecology of different lineages. Despite its importance, it is crucial the development of appropriate statistical method to measure this pattern and to infer the processes behind it. The methods currently available to infer phylogenetic niche conservatism are sometimes incompatible with some ecological concepts and do not cover all kind of data, this fact leads to an incomplete view of the process acting in the currents communities and conflict with the goal of many ecological and conservation studies that need to link species to ecological and evolutionary processes. The main goal of this dissertation is to propose novel methods to measure phylogenetic signal incorporating different aspects of ecological niche. We introduce novel methods in detail and evaluate its statistical properties (type I error and statistical power) by means of simulated data with known structure. In chapter 1 we propose a method to measure phylogenetic signal using the Mantel test, incorporating evolutionary model to test specific hypothesis of trait evolution. In chapter 2, we describe a set of function and a new statistical package for exploring the phylogenetic patterns at the metacommunity level. This package allows the exploration of distribution of phylogenetic lineages across ecological gradients, the analysis of phylogenetic signal at metacommunity level and to explore the association between clades and ecological gradients. In the chapter 3, we access the relationship between phylogenetic signal in traits and species co-occurrence patterns in the community levels. This approach allows one to test whether phylogenetic close related species cooccurring in metacommunities express their niche dimensions more similarly than would be expected by neutral expectation. We tested the statistical properties of these methods in relation to two null models, which incorporate these different aspects of the community structure and evolution of species traits. The three chapters represent different works that are interconnected in order to elucidate the concept of phylogenetic signal and phylogenetic niche conservatism.

Compreender os fatores que afetam a distribuição das espécies tem sido um dos principais objetivos dos ecólogos. Atualmente, sabe-se que os processos ecológicos e evolutivos moldam a dinâmica de especiação e extinção de espécies, e determinam a distribuição e abundância das mesmas. Ao longo dos últimos anos, tem havido um aumento no número de estudos que utilizam informação filogenética para explicar as dinâmicas populacionais e as distribuições de espécies, e que buscam identificar os mecanismos responsáveis pela montagem das comunidades. Interações das espécies, sejam elas intraespecífica, interespecífica ou com o ambiente, ocorrem baseadas nas diferenças e semelhanças fenotípicas. Essas variações fenotípicas tem origem na evolução das espécies, e com isso espera-se que as espécies proximamente relacionadas tendam a ser ecologicamente mais semelhantes entre si do que as espécies distantemente relacionadas. Esta concepção tem dado origem a um conceito importante, com implicações para estudos tanto ecológicos quanto evolutivos: o conceito de conservação filogenética de nicho, isto é, quando as espécies relacionadas mantêm seus nichos ancestrais ao longo do tempo evolutivo. Esse padrão tem importância para diversas áreas de ecologia, permitindo a ligação das espécies aos processos ecológicos e auxiliando na maior compreensão da ecologia evolutiva das diferentes linhagens. Devido à sua importância, é fundamental o desenvolvimento de métodos estatísticos adequados para quantificar esses padrões e inferir os processos que o subjazem. Atualmente, os métodos utilizados para inferir conservação filogenética de nicho são, em sua maioria, incompatíveis com determinados conceitos ecológicos e não abrangem todos os tipos de dados e esse fato explica uma visão incompleta dos processos presentes nas comunidades e conflitante com o objetivo de muitos estudos ecológicos e conservacionistas que buscam vincular as espécies aos processos ecológicos e evolutivos. Desta forma, o principal objetivo desta tese é propor novos métodos para quantificar o sinal filogenético que integrem diferentes aspectos do conceito de nicho ecológico. Apresentamos aqui os novos métodos em detalhes e avaliamos suas propriedades estatísticas (erro tipo I e poder estatístico) por meio de dados simulados. No capítulo 1, nós propomos um método para medir sinal filogenético utilizando o teste de Mantel, incorporando modelos evolutivos para testar hipóteses específicas da evolução dos atributos. No capítulo 2, descrevemos um conjunto de funções e um novo pacote estatístico para explorar os padrões filogenéticos no nível de metacomunidade. Este pacote permite explorar a distribuição de linhagens filogenéticas através de gradientes ecológicos, a análise de sinal filogenético no nível da metacomunidade e explorar a associação entre clados e gradientes ecológicos. No capítulo 3, investigamos a relação entre sinal filogenético dos atributos com os padrões de coocorrência das espécies nos níveis da comunidade. Esta abordagem permite testar se espécies filogeneticamente relacionadas que coocorrem expressam as suas dimensões de nicho com maior semelhança do que seria esperado por modelos neutros de evolução. Por fim, testamos as propriedades estatísticas destes métodos em relação dois modelos nulos, que incorporam diferentes aspectos da estrutura da comunidade e evolução dos atributos das espécies. Os três capítulos representam diferentes trabalhos que se interconectam no sentido de elucidar o conceito de sinal filogenético e conservação filogenética de nicho. / Understanding the factors that can affect species distributions has been a main goal of ecologists. Currently, it is known that evolutionary and ecological processes shape the speciation dynamics, species extinction and determine the distribution and abundance of species. Over the last years, there has been an increase in the number of studies using phylogenetic information to explain the dynamics of population, species distribution and identifying the mechanisms of community assembly. Species interactions – intraspecific, interspecific or with the environment – occur based on their phenotypic differences and similarities. As phenotypic variation has a basis in evolutionary history, it is expected that closely related species tend to be more ecologically similar to each other than distantly related ones. This notion has given rise to an important concept, with implications for both evolutionary and ecological studies: the concept of phylogenetic niche conservatism, that is, when related species maintain their ancestral niches over evolutionary time. This pattern is important for several areas of ecology, and allows to link species to ecological processes and to understand the evolutionary ecology of different lineages. Despite its importance, it is crucial the development of appropriate statistical method to measure this pattern and to infer the processes behind it. The methods currently available to infer phylogenetic niche conservatism are sometimes incompatible with some ecological concepts and do not cover all kind of data, this fact leads to an incomplete view of the process acting in the currents communities and conflict with the goal of many ecological and conservation studies that need to link species to ecological and evolutionary processes. The main goal of this dissertation is to propose novel methods to measure phylogenetic signal incorporating different aspects of ecological niche. We introduce novel methods in detail and evaluate its statistical properties (type I error and statistical power) by means of simulated data with known structure. In chapter 1 we propose a method to measure phylogenetic signal using the Mantel test, incorporating evolutionary model to test specific hypothesis of trait evolution. In chapter 2, we describe a set of function and a new statistical package for exploring the phylogenetic patterns at the metacommunity level. This package allows the exploration of distribution of phylogenetic lineages across ecological gradients, the analysis of phylogenetic signal at metacommunity level and to explore the association between clades and ecological gradients. In the chapter 3, we access the relationship between phylogenetic signal in traits and species co-occurrence patterns in the community levels. This approach allows one to test whether phylogenetic close related species cooccurring in metacommunities express their niche dimensions more similarly than would be expected by neutral expectation. We tested the statistical properties of these methods in relation to two null models, which incorporate these different aspects of the community structure and evolution of species traits. The three chapters represent different works that are interconnected in order to elucidate the concept of phylogenetic signal and phylogenetic niche conservatism.

Compreender os fatores que afetam a distribuição das espécies tem sido um dos principais objetivos dos ecólogos. Atualmente, sabe-se que os processos ecológicos e evolutivos moldam a dinâmica de especiação e extinção de espécies, e determinam a distribuição e abundância das mesmas. Ao longo dos últimos anos, tem havido um aumento no número de estudos que utilizam informação filogenética para explicar as dinâmicas populacionais e as distribuições de espécies, e que buscam identificar os mecanismos responsáveis pela montagem das comunidades. Interações das espécies, sejam elas intraespecífica, interespecífica ou com o ambiente, ocorrem baseadas nas diferenças e semelhanças fenotípicas. Essas variações fenotípicas tem origem na evolução das espécies, e com isso espera-se que as espécies proximamente relacionadas tendam a ser ecologicamente mais semelhantes entre si do que as espécies distantemente relacionadas. Esta concepção tem dado origem a um conceito importante, com implicações para estudos tanto ecológicos quanto evolutivos: o conceito de conservação filogenética de nicho, isto é, quando as espécies relacionadas mantêm seus nichos ancestrais ao longo do tempo evolutivo. Esse padrão tem importância para diversas áreas de ecologia, permitindo a ligação das espécies aos processos ecológicos e auxiliando na maior compreensão da ecologia evolutiva das diferentes linhagens. Devido à sua importância, é fundamental o desenvolvimento de métodos estatísticos adequados para quantificar esses padrões e inferir os processos que o subjazem. Atualmente, os métodos utilizados para inferir conservação filogenética de nicho são, em sua maioria, incompatíveis com determinados conceitos ecológicos e não abrangem todos os tipos de dados e esse fato explica uma visão incompleta dos processos presentes nas comunidades e conflitante com o objetivo de muitos estudos ecológicos e conservacionistas que buscam vincular as espécies aos processos ecológicos e evolutivos. Desta forma, o principal objetivo desta tese é propor novos métodos para quantificar o sinal filogenético que integrem diferentes aspectos do conceito de nicho ecológico. Apresentamos aqui os novos métodos em detalhes e avaliamos suas propriedades estatísticas (erro tipo I e poder estatístico) por meio de dados simulados. No capítulo 1, nós propomos um método para medir sinal filogenético utilizando o teste de Mantel, incorporando modelos evolutivos para testar hipóteses específicas da evolução dos atributos. No capítulo 2, descrevemos um conjunto de funções e um novo pacote estatístico para explorar os padrões filogenéticos no nível de metacomunidade. Este pacote permite explorar a distribuição de linhagens filogenéticas através de gradientes ecológicos, a análise de sinal filogenético no nível da metacomunidade e explorar a associação entre clados e gradientes ecológicos. No capítulo 3, investigamos a relação entre sinal filogenético dos atributos com os padrões de coocorrência das espécies nos níveis da comunidade. Esta abordagem permite testar se espécies filogeneticamente relacionadas que coocorrem expressam as suas dimensões de nicho com maior semelhança do que seria esperado por modelos neutros de evolução. Por fim, testamos as propriedades estatísticas destes métodos em relação dois modelos nulos, que incorporam diferentes aspectos da estrutura da comunidade e evolução dos atributos das espécies. Os três capítulos representam diferentes trabalhos que se interconectam no sentido de elucidar o conceito de sinal filogenético e conservação filogenética de nicho. / Understanding the factors that can affect species distributions has been a main goal of ecologists. Currently, it is known that evolutionary and ecological processes shape the speciation dynamics, species extinction and determine the distribution and abundance of species. Over the last years, there has been an increase in the number of studies using phylogenetic information to explain the dynamics of population, species distribution and identifying the mechanisms of community assembly. Species interactions – intraspecific, interspecific or with the environment – occur based on their phenotypic differences and similarities. As phenotypic variation has a basis in evolutionary history, it is expected that closely related species tend to be more ecologically similar to each other than distantly related ones. This notion has given rise to an important concept, with implications for both evolutionary and ecological studies: the concept of phylogenetic niche conservatism, that is, when related species maintain their ancestral niches over evolutionary time. This pattern is important for several areas of ecology, and allows to link species to ecological processes and to understand the evolutionary ecology of different lineages. Despite its importance, it is crucial the development of appropriate statistical method to measure this pattern and to infer the processes behind it. The methods currently available to infer phylogenetic niche conservatism are sometimes incompatible with some ecological concepts and do not cover all kind of data, this fact leads to an incomplete view of the process acting in the currents communities and conflict with the goal of many ecological and conservation studies that need to link species to ecological and evolutionary processes. The main goal of this dissertation is to propose novel methods to measure phylogenetic signal incorporating different aspects of ecological niche. We introduce novel methods in detail and evaluate its statistical properties (type I error and statistical power) by means of simulated data with known structure. In chapter 1 we propose a method to measure phylogenetic signal using the Mantel test, incorporating evolutionary model to test specific hypothesis of trait evolution. In chapter 2, we describe a set of function and a new statistical package for exploring the phylogenetic patterns at the metacommunity level. This package allows the exploration of distribution of phylogenetic lineages across ecological gradients, the analysis of phylogenetic signal at metacommunity level and to explore the association between clades and ecological gradients. In the chapter 3, we access the relationship between phylogenetic signal in traits and species co-occurrence patterns in the community levels. This approach allows one to test whether phylogenetic close related species cooccurring in metacommunities express their niche dimensions more similarly than would be expected by neutral expectation. We tested the statistical properties of these methods in relation to two null models, which incorporate these different aspects of the community structure and evolution of species traits. The three chapters represent different works that are interconnected in order to elucidate the concept of phylogenetic signal and phylogenetic niche conservatism.