862 resultados para Data processing.


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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Agronomia (Energia na Agricultura) - FCA

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Pós-graduação em Educação - FFC

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Pós-graduação em Geociências e Meio Ambiente - IGCE

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Enfermagem (mestrado profissional) - FMB

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Experiments using factorial arrangement of treatments are rather common and useful in agricultural research. The main advantage is the possibility of testing many hypotheses, allowing broader conclusions over different factors, studied simultaneously. Factorial arrangements are used to compare levels of each factor (main effects), and also to verify if the differences among levels of a given factor are dependent on the levels of the other factors (interacions). In the analysis of data from factorial experiments, difficulty is increased when additional treatments are included. Inclusion of one or more additional treatments is a quite common practice, since such treatments are usually taken as reference or standard for evaluation and comparasion of the remaimng treatments, or aiming complementary information. This increase of difficulty is however low, compared to the advantages. As in literature there are few references about the statistical analysis of factorial experiments with additonal treatments, and given straightforward use in experimentation, the objective of this work was the presentation of approach for the use of factorial experiments with additonal treatments trough the analysis of some examples using the SAS® software, with the corresponding theoretical development, obtaining the system of normal equations, estimators of the parameters and variance of contrasts among two treatment means. It is suggested that additional treatments should be used with caution. The analysis of variance of such kind of experiment was presented using matrix notation.

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1. The member and associate member countries of the Economic Commission for Latin America and the Caribbean/Caribbean Development and Cooperation Committee (ECLAC/CDCC) have committed to pursuing and achieving the Millennium Development Goals, a common set of goals and targets to bring all people up to minimum acceptable standards of human development by 2015. 2. However, in spite of various capacity-building initiatives, Caribbean countries continued to experience difficulties in addressing additional demands of monitoring and measuring progress created by the Millennium Development Goals and other Internationally Agreed Development Goals. Therefore, it was necessary to implement activities to ensure the further building/strengthening of institutional capabilities for generating reliable social, economic and environmental statistics among Caribbean States. 3. The ECLAC project entitled “Strengthening the Capacity of National Statistical Offices in the Caribbean Small Island Developing States to fulfil the Millennium Development Goals and other Internationally Agreed Development Goals” sought to build and strengthen institutional capabilities for generating and compiling reliable social, economic and environmental statistics in the Caribbean subregion, through the provision of technical support, as well as the conduct of training workshops for statisticians and policymakers. 4. Within the objectives of that project, ECLAC Subregional Headquarters for the Caribbean convened a regional training workshop on the measurement of poverty in the Caribbean in Port of Spain, to build the capacity of government officials and other relevant stakeholders. 5. The overall objective of the workshop was to develop and strengthen the national technical capacity of public officials in data processing, systematization and dissemination of poverty indicators and measurement in the Caribbean subregion. The workshop further sought to review and discuss the current approaches to poverty measurement and monitoring in an effort to identify methods to ensure that monitoring and reporting of the Millennium Development Goals were conducted according to internationally agreed upon methodologies. Furthermore, the workshop also intended to review different methods of poverty measurements, including the multidimensional methodology for the measurement of poverty. 6. Participants were introduced to different methods of poverty measurements and other aggregation proposals which would enable countries to better measure progress towards Goal 1 on poverty, report on it and apply evidence-based approaches to national policymaking and planning.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Agronomia (Energia na Agricultura) - FCA

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Pós-graduação em Ciências Biológicas (Genética) - IBB