1000 resultados para Variância
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This work investigates the variance and invariance of subject clauses patterns in spoken and written contemporary Brazilian Portuguese. I analyze four parameters (category and semantic class of matrix predicate, form of embedded clause and mood-tense correlation between matrix and embedded clauses) and show that there is less variance in speech patterns.
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Pós-graduação em Matematica Aplicada e Computacional - FCT
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Pós-graduação em Matematica Aplicada e Computacional - FCT
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Neste trabalho, deriva-se uma política de escolha ótima baseada na análise de média-variância para o Erro de Rastreamento no cenário Multi-período - ERM -. Referindo-se ao ERM como a diferença entre o capital acumulado pela carteira escolhida e o acumulado pela carteira de um benchmark. Assim, foi aplicada a metodologia abordada por Li-Ng em [24] para a solução analítica, obtendo-se dessa maneira uma generalização do caso uniperíodo introduzido por Roll em [38]. Em seguida, selecionou-se um portfólio do mercado de ações brasileiro baseado no fator de orrelação, e adotou-se como benchmark o índice da bolsa de valores do estado de São Paulo IBOVESPA, além da taxa básica de juros SELIC como ativo de renda fixa. Dois casos foram abordados: carteira composta somente de ativos de risco, caso I, e carteira com um ativo sem risco indexado à SELIC - e ativos do caso I (caso II).
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Atualmente a carne suína é a mais consumida no mundo, sendo o Brasil o quarto maior produtor. Este trabalho teve como objetivo estudar a relação do preço pago ao produtor de suíno por meio da análise dos preços do suíno vivo pagos aos produtores no Rio Grande do Sul e Santa Catarina, procurou-se comparar as diferenças e o comportamento entre as matrizes de produção destes dois Estados, para explicar o comportamento dos preços pagos aos produtores. Através dos resultados obtidos, constatou-se que os preços médios pagos aos produtores gaúchos foram historicamente maiores que os preços pagos aos produtores catarinenses. Por meio do Teste de Causalidade de Granger, Função Impulso Resposta e Decomposição da Variância, pode-se concluir que os preços pagos aos produtores de suíno integrados em Santa Catarina no passado, influenciam na formação dos preços pagos aos produtores independentes de suíno no Rio Grande do Sul no presente, ao mesmo tempo que os preços pagos aos produtores independentes gaúchos no passado influenciam na formação dos preços pagos aos produtores em Santa Catarina.
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A necessidade de conhecer uma população impulsiona um processo de recolha e análise de informação. Usualmente é muito difícil ou impossível estudar a totalidade da população, daí a importância do estudo com recurso a amostras. Conceber um estudo por amostragem é um processo complexo, desde antes da recolha dos dados até a fase de análise dos mesmos. Na maior parte dos estudos utilizam-se combinações de vários métodos probabilísticos de amostragem para seleção de uma amostra, que se pretende representativa da população, denominado delineamento de amostragem complexo. O conhecimento dos erros de amostragem é necessário à correta interpretação dos resultados de inquéritos e à avaliação dos seus planos de amostragem. Em amostras complexas, têm sido usadas aproximações ajustadas à natureza complexa do plano da amostra para a estimação da variância, sendo as mais utilizadas: o método de linearização Taylor e as técnicas de reamostragem e replicação. O principal objetivo deste trabalho é avaliar o desempenho dos estimadores usuais da variância em amostras complexas. Inspirado num conjunto de dados reais foram geradas três populações com características distintas, das quais foram sorteadas amostras com diferentes delineamentos de amostragem, na expectativa de obter alguma indicação sobre em que situações se deve optar por cada um dos estimadores da variância. Com base nos resultados obtidos, podemos concluir que o desempenho dos estimadores da variância da média amostral de Taylor, Jacknife e Bootstrap varia com o tipo de delineamento e população. De um modo geral, o estimador de Bootstrap é o menos preciso e em delineamentos estratificados os estimadores de Taylor e Jackknife fornecem os mesmos resultados; Evaluation of variance estimation methods in complex samples ABSTRACT: The need to know a population drives a process of collecting and analyzing information. Usually is to hard or even impossible to study the whole population, hence the importance of sampling. Framing a study by sampling is a complex process, from before the data collection until the data analysis. Many studies have used combinations of various probabilistic sampling methods for selecting a representative sample of the population, calling it complex sampling design. Knowledge of sampling errors is essential for correct interpretation of the survey results and evaluation of the sampling plans. In complex samples to estimate the variance has been approaches adjusted to the complex nature of the sample plane. The most common are: the linearization method of Taylor and techniques of resampling and replication. The main objective of this study is to evaluate the performance of usual estimators of the variance in complex samples. Inspired on real data we will generate three populations with distinct characteristics. From this populations will be drawn samples using different sampling designs. In the end we intend to get some lights about in which situations we should opt for each one of the variance estimators. Our results show that the performance of the variance estimators of sample mean Taylor, Jacknife and Bootstrap varies with the design and population. In general, the Bootstrap estimator is less precise and in stratified design Taylor and Jackknife estimators provide the same results.
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Edible mushroom are highly perishable foods. Drying is an alternative to provide safe storage. In this work, the effects of some drying parameters on the quality of Shiitake mushroom were investigated: geometry of the raw material (whole and sliced), drying temperature (50 °C and 70 ºC) and final moisture content (5% and 15% wb). Experimental kinetics of drying was built and color and texture analyses were done in fresh and in rehydrated dried product. The effect of parameters was evaluated by analysis of variance and test of multiple comparisons. Drying kinetics showed that drying happened in falling-rate period and sliced mushroom dried at 70 ºC required lesser drying time than other treatments. Mushroom dried at 70 ºC showed less darkening. Drying time affected mushroom quality, evaluated by great hardness, gummosis and darkening.
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Size distributions in woody plant populations have been used to assess their regeneration status, assuming that size structures with reverse-J shapes represent stable populations. We present an empirical approach of this issue using five woody species from the Cerrado. Considering count data for all plants of these five species over a 12-year period, we analyzed size distribution by: a) plotting frequency distributions and their adjustment to the negative exponential curve and b) calculating the Gini coefficient. To look for a relationship between size structure and future trends, we considered the size structures from the first census year. We analyzed changes in number over time and performed a simple population viability analysis, which gives the mean population growth rate, its variance and the probability of extinction in a given time period. Frequency distributions and the Gini coefficient were not able to predict future trends in population numbers. We recommend that managers should not use measures of size structure as a basis for management decisions without applying more appropriate demographic studies.
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The purpose of the present study was to verify the factorial validity of a learning strategy scale as well as to explore the concurrent validity of the instrument in regard to students´ academic achievement. The sample was composed of 815 basic education children from both public and private schools of São Paulo and Minas Gerais. The Learning Strategy Scale was collectively applied. Exploratory factorial analyses were conducted to achieve the purposes of the study. The alphas of Cronbach of the instrument and of its three subscales showed good reliability. Variance analyses showed significant differences between school achievement and punctuation in the scale. The data were discussed in terms of their possible implications for the psycho-educational evaluation area.
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The aim of this study was to compare two methods of surface roughness analysis, perfilometry and spectrophotometry, applied to the surface of ionomeric materials (Chelon Fil, Vitremer and Dyract), submitted to different surface finishing treatments. For the perfilometric analysis, sixty specimens of each material were made and randomly separated into three experimental groups. The average surface roughness (Ra, mm) was measured on each specimen by a surface perfilometer (Mitutoyo Surftest 211). The spectrophotometric analysis consisted in quantifying the dye impregnated in the samples. The dyes used were 0.5% fuchsin and 0.5% erythrosin. Data were submitted to variance analysis (ANOVA) and t-Student test at a 0.05 significance level. There was no linear correlation between average roughness and superficial deposition of dye. Perfilometric analysis revealed that 12- and 30-bladed carbide burs caused the roughest surface of Chelon Fil, followed by Sof-Lex discs and mylar band. There were no significant differences between the specimens submitted to finishing and polishing with Sof-Lex discs and the control group (mylar band) for Vitremer, nevertheless, the highest Ra values were obtained when 12- and 30-bladed burs were used. For Dyract, there was no significant difference between the three treatments. The mean values of superficial deposition of dye for Chelon Fil, Vitremer and Dyract were: 1.7261, 1.4759, 1.3318, respectively. There were no significant differences between the restorative materials when different finishing and polishing systems were used.
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The acceptability of nine commercial brazilian varietal white table wines (Riesling, Chardonnay and Gewürztraminer) was evaluated using sensory affective tests. The samples were assessed by 43 consumers of brazilian white wines using he nine-point structured hedonic scale. Judges were recruited based on their responses to a questionnary about consumer?s behavior towards white wines consumption. Subsequently, Analysis of Variance (ANOVA) with means comparision (Tukey test) and Internal Analysis of Preference Mapping (MDPREF) were performed on data. Analysis of Variance showed that two samples (a Riesling and a Gewürztraminer, both sweet table wines) had significantly (p < 0.05) higher acceptance means, around 7 in the hedonic scale. The least acceptance means (4,3) was obtained by a demi-sec Chardonnay wine and the other six samples achieved means around 5 in the hedonic scale, all of them either demi-sec or dry table wines. MDPREF confirmed the results showed by ANOVA showing that samples were segmented into two groups of preference. The first group was composed by 86% of consumers who prefered the sweet table wines (higher acceptance), converging to the region on the map where these samples were represented. Only 14% showed preference for the demi-sec and dry table wines, being represented on the region of the MDPREF where these samples were located. This study suggests that sweet table wines are prefered by Brazilian consumers, instead of dry or demi-sec table wines.
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Universidade Estadual de Campinas . Faculdade de Educação Física
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Universidade Estadual de Campinas . Faculdade de Educação Física
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Universidade Estadual de Campinas . Faculdade de Educação Física