Submitted by Filipe dos Santos (fsantos@pucsp.br) on 2016-08-04T11:44:43Z No. of bitstreams: 1 Elton Candido Ribeiro.pdf: 777004 bytes, checksum: d5e6945a62798adb4f9002ce36be78ff (MD5) / Made available in DSpace on 2016-08-04T11:44:43Z (GMT). No. of bitstreams: 1 Elton Candido Ribeiro.pdf: 777004 bytes, checksum: d5e6945a62798adb4f9002ce36be78ff (MD5) Previous issue date: 2016-03-18 / Conselho Nacional de Desenvolvimento Científico e Tecnológico / This work aims to study the deduction of the categorical imperative in the third section of Kant’s Groundwork for the Metaphysics of Morals. Undoubtedly, this deduction is an important Kantian attempt to offer a foundation for his a priori ethics. More than two centuries later, there is no consensus among scholars and commentators regarding what is the structure of the argument, as well as its aim and its importance in the Kantian Critical Philosophy. This thesis is structured in three chapters. The first chapter studies the analysis of the concept of “good will” in the first section of Groundwork. The second chapter follow the analysis of the concept of “finite rational agent” in the second section. Lastly, the third chapter studies the deduction of the categorical imperative in the third section of Groundwork. The argument of the deduction is comprised in the following steps: the analytical relationship between liberty and morality; the presupposition of the effectiveness of the liberty of all rational being; the presupposition of the effectiveness of the liberty of the rational-sensitive being; the deduction of the categorical imperative / Este trabalho tem como objetivo estudar a dedução do imperativo categórico na terceira seção da Fundamentação da Metafísica dos Costumes, de Immanuel Kant. Sem dúvida, esta dedução é uma importante tentativa do filósofo de oferecer uma fundamentação para sua ética a priori. Mais de dois séculos depois, ainda não há consenso entre os estudiosos e comentadores sobre a estrutura do argumento, seu objetivo e sua importância na filosofia crítica kantiana. Para lidar com a questão, esta dissertação é estruturada em três capítulos. O primeiro capítulo estuda a análise do conceito de "boa vontade" empreendida na primeira seção da Fundamentação. O segundo capítulo segue a análise do conceito de "agente racional finito", na segunda seção. Finalmente, o terceiro capítulo estuda a dedução do imperativo categórico na terceira seção da Fundamentação. O argumento da dedução é compreendido nos seguintes passos: a relação analítica entre liberdade e moralidade; a pressuposição da efetividade da liberdade de todos os seres racionais; a pressuposição da efetividade da liberdade do ser racional-sensível; a dedução do imperativo categórico

Este trabalho generaliza a partição da distribuição de Bernoulli multivariada em distribuições de Bernoulli e como esta partição leva a um modelo de regressão e a um classificador para dados politômicos. Como ponto de partida, desejamos explicitar a função de ligação para os modelos de regressão multinomial e escrevê-la a partir de funções de distribuição, como feito no caso binomial, a fim de flexibilizá-la para além da logito usual. Para isso, estudamos as fatorações da Bernoulli multivariada em Bernoullis, bem como a multinomial em binomiais, a fim de explicitar como as funções de distribuição podem desempenhar um papel na ligação entre o espaço das covariáveis e o vetor de probabilidades. Basu & Pereira (1982) exploram tais fatorações em um problema de não resposta e Pereira & Stern (2008) as generalizam para uma classe de fatorações. Este trabalho propõe uma simplificação tanto da regressão multinomial - agregando a flexibilidade do caso binomial -, quanto da classificação politômica, no sentido de decompor o problema politômico em dicotômicos através da generalização da classe de fatorações. Um problema computacional surge pois tal classe pode ter um número muito grande de elementos distintos de acordo com o número de categorias e, assim, duas propostas são feitas para buscar uma que minimiza os riscos de classificação binomial envolvidos, passo-a-passo. A motivação para este trabalho é apresentada a fim de se estudar as performances de tais modelos de regressão e classificadores. Partimos de um problema da área médica, mais especificamente em transtorno obsessivo-compulsivo, em que desejamos classificar um indivíduo a fim de obter um fenótipo mais puro de tal transtorno e de modelá-lo a fim de buscar as covariáveis que estão relacionadas com tal fenótipo, a partir de um conjunto de dados reais. / This work explores a partition of the multivariate Bernoulli distribution in Bernoulli distributions and how this partition leads to a regression model and to a classifier for polytomous data. As starting point, we want to make explicit the link function for multinomial regression models and write it from distribution functions, as in the binomial case, in order to flexibilize it beyond the usual logit. For that, we study the factorizations of the multivariate Bernoulli in Bernoullis, as well as the multinomial in binomials, in order to make explicit as the distribution functions may play a role in the linkage between the space of covariates and the vector of probabilities. Basu and Pereira (1982) explore these factorizations in a nonresponse problem and Pereira and Stern (2008) generalize them to a class of factorizations. Thus, this work proposes a simplification of the multinomial regression - adding the flexibility from the binomial case -, and of the polytomous classification, decomposing de polytomous problem in dichotomous through the generalization of the class of factorizations. At this point, a computational problem arises because the amount of factorizations may be very large according to the number of categories and then we propose two approaches to seek a factorization that minimize the involved binomial classification risks, step-by-step. The motivation for this work is presented in order to study the performance of such regression models and classifiers. We start from a medical problem, more precisely in obsessive-compulsive disorder, in which we want to classify a patient in order to get a more pure phenotype of such disorder and model it in order to seek the related covariates, from a real dataset.

Neste trabalho, apresentamos algumas metodologias para analisar dados que possuem variável resposta categórica ordinal. Descrevemos os principais Modelos de Regressão conhecidos atualmente que consideram a ordenação das categorias de resposta, entre eles: Modelos Cumulativos e Modelos Sequenciais. Discutimos também o problema de discriminação e classificação de elementos em grupos ordinais, comentando sobre os preditores mais comuns para dados desse tipo. Apresentamos ainda a técnica de Análise Discriminante Ótima e sua versão aprimorada, baseada na utilização de métodos bootstrap. Por fim, aplicamos algumas das técnicas descritas a dados reais da área financeira, com o intuito de classificar possíveis clientes, no momento da aquisição de um cartão de crédito, como futuros bons, médios ou maus pagadores. Para essa aplicação, discutimos as vantagens e desvantagens dos modelos utilizados em termos de qualidade da classificação. / In this work, some methods to analyse data with ordinal categorical response are presented. We describe the most important and widely used Regression Models which consider the ordering of response categories like: Cumulative Models and Sequential Models. We also discuss the problem of how to discriminate and classify elements in ordinal groups, commenting on the most common predictors to this kind of data. Also we present the technique known as optimal discriminant analysis and its improved version, based on the use of bootstrap methods. Finally, we apply some of the described techniques to real financial data, intending to classify possible consumers, on acquistion of a credit card, as high, medium and low risk customers. With this application, we discuss the advantages and disadvantages of the models used in terms of quality of classification.

No description available.

Given the rise in the application of neural networks to all sorts of interesting problems, it seems natural to apply them to statistical tests. This senior thesis studies whether neural networks built to classify discrete circular probability distributions can outperform a class of well-known statistical tests for uniformity for discrete circular data that includes the Rayleigh Test1, the Watson Test2, and the Ajne Test3. Each neural network used is relatively small with no more than 3 layers: an input layer taking in discrete data sets on a circle, a hidden layer, and an output layer outputting probability values between 0 and 1, with 0 mapping to uniform and 1 mapping to nonuniform. In evaluating performances, I compare the accuracy, type I error, and type II error of this class of statistical tests and of the neural networks built to compete with them. 1 Jammalamadaka, S. Rao(1-UCSB-PB); SenGupta, A.(6-ISI-ASU)Topics in circular statistics. (English summary) With 1 IBM-PC floppy disk (3.5 inch; HD). Series on Multivariate Analysis, 5. World Scientific Publishing Co., Inc., River Edge, NJ, 2001. xii+322 pp. ISBN: 981-02-3778-2 2 Watson, G. S.Goodness-of-fit tests on a circle. II. Biometrika 49 1962 57–63. 3 Ajne, B.A simple test for uniformity of a circular distribution. Biometrika 55 1968 343–354.

<p>Human reproductive cloning came to the public´s attention when Dolly the sheep was cloned in Scotland in 1997. This news quickly spread around the world causing both excitements at the possibilities of what cloning techniques could offer, as well as apprehension about the ethical, social and legal implications should human reproductive cloning become possible. Many international organisations and governments were concerned about the impact of human reproductive cloning on human health, dignity and human rights. To this day, many institutions have drafted resolutions, protocols and position statements outlining their concerns. This paper outlines some of the major ethical issues surrounding human reproductive cloning and the position towards this novel technique taken by three important international organisations - Council of Europe, World Health Organization, and United Nations Education, Scientific and Cultural Organization - expressed in different regulatory frameworks. Proponents of human cloning occasionally point out that cloned humans are already among us in the form of twins - people with identical sets of DNA - so what is the problem? Besides avoiding the fact that natural twins are always siblings, whereas a clone could be the twin of a parent or grandparent, this observation ignores a crucial moral difference: natural twins arrive as rare creations, not as specifically designed products. Instead of being an uncontrolled, self-regulated evolutionary process, creation of man through reproductive cloning are shifting from being natural to a state of instrumentality where parental interests constitutes what is important. This shift will inevitably lead to the child being a means for some other end (parental interests). However, this is not the same as being subdued into genetic determinism, but the point brought forward is the child´s lack of freedom caused by the interests of the parents. In this sense the clone´s genome constitutes a heavy backpack because of our pre-knowledge of its physical building blocks - or in other words its potentiality. Even though the argument of genetic determinism is a weak one, our subconscious"forces"us to create hopes upon the child because of its potentiality. No longer is the evolution the creator with the dices of randomness. A new gambler is in town and this time the dices are equilateral.</p>

<p>In drug development clinical trials are designed to investigate whether a new treatment is safe and has the desired effect on the disease in the target patient population. Categorical endpoints, for example different ranking scales or grading of adverse events, are commonly used to measure effects in the trials. </p><p>Pharmacokinetic/Pharmacodynamic (PK/PD) models are used to describe the plasma concentration of a drug over time and its relationship to the effect studied. The models are utilized both in drug development and in discussions with drug regulating authorities. Methods for incorporation of ordered categorical data in PK/PD models were studied using a non-linear mixed effects modelling approach as implemented in the software NONMEM. The traditionally used proportional odds model was used for analysis of a 6-grade sedation scale in acute stroke patients and for analysis of a T-cell receptor expression in patients with Multiple Sclerosis, where the results also were compared with an analysis of the data on a continuous scale. Modifications of the proportional odds model were developed to enable analysis of a spontaneously reported side-effect and to analyze situations where the scale used is heterogeneous or where the drug affects the different scores in the scale in a non-proportional way. The new models were compared with the proportional odds model and were shown to give better predictive performances in the analyzed situations. </p><p>The results in this thesis show that categorical data obtained in clinical trials with different design and different categorical endpoints successfully can be incorporated in PK/PD models. The models developed can also be applied to analyses of other ordered categorical scales than those presented.</p>

Effects of drugs are in clinical trials often measured on categorical scales. These measurements are increasingly being analyzed using mixed-effects logistic regression. However, the experience with such analyzes is limited and only a few models are used. The aim of this thesis was to investigate the performance and improve the use of models and methods for mixed-effects categorical data analysis. The Laplacian method was shown to produce biased parameter estimates if (i) the data variability is large or (ii) the distribution of the responses is skewed. Two solutions are suggested; the Gaussian quadrature method and the back-step method. Two assumptions made with the proportional odds model have also been investigated. The assumption with proportional odds for all categories was shown to be unsuitable for analysis of data arising from a ranking scale of effects with several underlying causes. An alternative model, the differential odds model, was developed and shown to be an improvement, in regard to statistical significance as well as predictive performance, over the proportional odds model for such data. The appropriateness of the likelihood ratio test was investigated for an analysis where dependence between observations is ignored, i.e. performing the analysis using the proportional odds model. The type I error was found to be affected; thus assessing the actual critical value is prudent in order to verify the statistical significance level. An alternative approach is to use a Markov model, in which dependence between observations is incorporated. In the case of polychotomous data such model may involve considerable complexity and thus, a strategy for the reduction of the time-consuming model building with the Markov model and sleep data is presented. This thesis will hopefully contribute to a more confident use of models for categorical data analysis within the area of pharmacokinetic and pharmacodynamic modelling in the future.

Human reproductive cloning came to the public´s attention when Dolly the sheep was cloned in Scotland in 1997. This news quickly spread around the world causing both excitements at the possibilities of what cloning techniques could offer, as well as apprehension about the ethical, social and legal implications should human reproductive cloning become possible. Many international organisations and governments were concerned about the impact of human reproductive cloning on human health, dignity and human rights. To this day, many institutions have drafted resolutions, protocols and position statements outlining their concerns. This paper outlines some of the major ethical issues surrounding human reproductive cloning and the position towards this novel technique taken by three important international organisations - Council of Europe, World Health Organization, and United Nations Education, Scientific and Cultural Organization - expressed in different regulatory frameworks. Proponents of human cloning occasionally point out that cloned humans are already among us in the form of twins - people with identical sets of DNA - so what is the problem? Besides avoiding the fact that natural twins are always siblings, whereas a clone could be the twin of a parent or grandparent, this observation ignores a crucial moral difference: natural twins arrive as rare creations, not as specifically designed products. Instead of being an uncontrolled, self-regulated evolutionary process, creation of man through reproductive cloning are shifting from being natural to a state of instrumentality where parental interests constitutes what is important. This shift will inevitably lead to the child being a means for some other end (parental interests). However, this is not the same as being subdued into genetic determinism, but the point brought forward is the child´s lack of freedom caused by the interests of the parents. In this sense the clone´s genome constitutes a heavy backpack because of our pre-knowledge of its physical building blocks - or in other words its potentiality. Even though the argument of genetic determinism is a weak one, our subconscious"forces"us to create hopes upon the child because of its potentiality. No longer is the evolution the creator with the dices of randomness. A new gambler is in town and this time the dices are equilateral.

An analysis of the effect of passing vehicles’ characteristics and their impact on other drivers’ velocities was investigated. Three experimental studies were proposed and likely outcomes were discussed. Experiment 1 focused on the effect of passing vehicle type (SUV, sedan or truck) on driver speed. Drivers were hypothesized as going faster when the same vehicle type as they were driving passed them versus when no vehicle or a different vehicle passed them. Experiment 2 focused on the effect of passing SUV age on driver’s speed. Evidence suggests passing older SUVs will increase the driver’s speed more than new SUVs. Experiment 3 focused on the effect of passing SUV color on speed. Drivers were hypothesized to go faster when brighter colors (red and yellow) rather than cooler colors (grey and black) were painted on the vehicle.