3 resultados para Goodness-of-fit test for normality

em Repositório digital da Fundação Getúlio Vargas - FGV


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Esta tese estuda as competências essenciais requeridas dos profissionais em vendas de bens perecíveis diante das mudanças ambientais e novas estratégias de relacionamento entre as indústrias de alimentação e seus canais de marketing. Há revisões teóricas sobre marketing e venda pessoal no lado da Administração e sobre competências no lado da Psicologia. Da revisão teórica foram selecionadas 16 competências chave para compor um dicionário, convenientes ao atual contexto de relacionamento entre comprador e vendedor. A pesquisa foi conduzida entre participantes de comitês do Movimento ECR Brasil, funcionários de supermercados e de indústrias de alimentação (n = 192). Empregaram-se as técnicas estatísticas da análise fatorial exploratória e da análise fatorial confirmatória e o modelo teórico foi gerado com três dimensões - suporte à competitividade, relacionamento eficaz e integração operacional - abrangendo 12 competências essenciais. Foram testadas as validades convergente, discriminante e nomológica dos constructos do modelo teórico. Quanto às medidas de ajustamento global do modelo teórico mais o índice esperado de validação cruzada (ECVI) foi possível constatar que o modelo demonstrou consistência com os dados e teve uma boa aproximação da população (X² = 68,15, DF = 51, p = 0,054, RMSEA = 0,042). A avaliação dos resultados do modelo de medidas revelou evidência parcial quanto à validade dos constructos e baixa fidedignidade quanto aos indicadores do modelo teórico.

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To assess the quality of school education, much of educational research is concerned with comparisons of test scores means or medians. In this paper, we shift this focus and explore test scores data by addressing some often neglected questions. In the case of Brazil, the mean of test scores in Math for students of the fourth grade has declined approximately 0,2 standard deviation in the late 1990s. But what about changes in the distribution of scores? It is unclear whether the decline was caused by deterioration in student performance in upper and/or lower tails of the distribution. To answer this question, we propose the use of the relative distribution method developed by Handcock and Morris (1999). The advantage of this methodology is that it compares two distributions of test scores data through a single distribution and synthesizes all the differences between them. Moreover, it is possible to decompose the total difference between two distributions in a level effect (changes in median) and shape effect (changes in shape of the distribution). We find that the decline of average-test scores is mainly caused by a worsening in the position of all students throughout the distribution of scores and is not only specific to any quantile of distribution.

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The goal of this paper is to present a comprehensive emprical analysis of the return and conditional variance of four Brazilian …nancial series using models of the ARCH class. Selected models are then compared regarding forecasting accuracy and goodness-of-…t statistics. To help understanding the empirical results, a self-contained theoretical discussion of ARCH models is also presented in such a way that it is useful for the applied researcher. Empirical results show that although all series share ARCH and are leptokurtic relative to the Normal, the return on the US$ has clearly regime switching and no asymmetry for the variance, the return on COCOA has no asymmetry, while the returns on the CBOND and TELEBRAS have clear signs of asymmetry favoring the leverage e¤ect. Regarding forecasting, the best model overall was the EGARCH(1; 1) in its Gaussian version. Regarding goodness-of-…t statistics, the SWARCH model did well, followed closely by the Student-t GARCH(1; 1)