Multivariate Assumptions
Mostrando 1-12 de 13 artigos, teses e dissertações.
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1. MULTIVARIATE ANALYSIS APPLIED TO SPRAY DEPOSITION IN GROUND APPLICATION OF PHYTOSANITARY PRODUCTS IN COFFEE PLANTS
ABSTRACT An adequate combination of factors involved in the technology used for phytosanitary product application contributes to an efficient spray deposition on the target. The objective of this study was to use multivariate analysis to characterize the magnitude of effects and the order of influence of three factors that interfere with the quality of phyto
Eng. Agríc.. Publicado em: 2021-08
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2. NÃO-NORMALIDADE MULTIVARIADA E MULTICOLINEARIDADE EM ANÁLISE DE TRILHA NA CULTURA DE MILHO / NON-NORMALITY MULTIVARIATE AND MULTICOLLINEARITY IN PATH ANALYSIS IN CORN
A análise de trilha permite avaliar os efeitos diretos e indiretos de variáveis explicativas sobre a variável de interesse, por meio do desdobramento dos coeficientes de correlação. Para que os resultados gerados pela análise de trilha apresentem confiabilidade adequada, alguns pressupostos devem ser atendidos. Assim, os objetivos deste trabalho foram:
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 16/02/2012
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3. A integração da sustentabilidade às práticas de controle gerencial das empresas no Brasil / The integration of sustainability into management control practices in Brazil
The study aims to map and analyse the integration of sustainability into the management control (MC) practices of companies in Brazil. Sustainability was represented by the economic, envinronmental and social dimensions of the triple bottom line approach (ELKINGTON, 1997), and management control was addressed by the levers of controlmanagement control model
Publicado em: 2011
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4. Transferência e absorção de conhecimentos em franquias
Knowledge has been the subject of many researches in Business Administration area. Inside this area, the transfer process and absorbing knowledge has aroused interest and became an important key to increase competitiveness, especially in activities that depends of intensive knowledge, as occurs in franchise networks. The relationship between franchisor and f
Publicado em: 2010
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5. RELATIONS BETWEEN VARIABLES: SEEDS, SEEDLINGS, PLANTS, PRODUCTION AND OIL IN CASTOR BEAN / RELAÇÕES ENTRE VARIÁVEIS DE: SEMENTES, PLÂNTULAS, PLANTAS, PRODUÇÃO E ÓLEO EM MAMONEIRA
Castor bean is an oil and biodiesel source. Besides, it has a high seed yield potential in the State of Rio Grande do Sul. The objective of this work was to establish the relationship among the variables: seeds, seedlings, adult plants, grain yield and oil quality in two castor bean hybrids. The experiment was conducted at the Federal University of Santa Mar
Publicado em: 2009
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6. Analysis of longitudinal data in experiments with sugar of cane / Análise de dados longitudinais em experimentos com cana-de-açúcar
This work has been dealt with situation in which observations of productivity of sugar of cane (TCH) were taken in the same unit experimental in different condition of assessments (years). The response profiles average of 48 genotypes of sugar of cane were evaluated in two experiments: Experiment 1 and Experiment 2, for three and five years respectively, bot
Publicado em: 2008
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7. PARTITION CLUSTERING OF HIGH DIMENSIONAL LOW SAMPLE SIZE DATA BASED ON P-VALUES
This thesis introduces a new partitioning algorithm to cluster variables in high dimensional low sample size (HDLSS) data and high dimensional longitudinal low sample size (HDLLSS) data. HDLSS data contain a large number of variables with small number of replications per variable, and HDLLSS data refer to HDLSS data observed over time. Clustering technique p
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 2008
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8. Unpacking firm effects: modeling political alliances in variance decomposition of firm performance in turbulent environments
In this paper, firm heterogeneity in turbulent environments is addressed. It is argued that previous studies have not taken into account effects of a turbulent environment, like the Brazilian context, in which firms must face a weak and erratic government. In such an environment, the large portion of variance usually attributed to firm effects may be explain
BAR - Brazilian Administration Review. Publicado em: 2005-06
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9. An efficient method for identifying statistical interactors in gene association networks
Network reconstruction is a main goal of many biological endeavors. Graphical Gaussian models (GGMs) are often used since the underlying assumptions are well understood, the graph is readily estimated by calculating the partial correlation (paCor) matrix, and its interpretation is straightforward. In spite of these advantages, GGMs are limited in that intera
Oxford University Press.
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10. Predicting outcomes after liver transplantation. A connectionist approach.
OBJECTIVE: The authors sought to train an artificial neural network to predict early outcomes after orthotopic liver transplantation. SUMMARY BACKGROUND DATA: Reliable prediction of outcomes early after liver transplantation would help improve organ use and could have an impact on patient survival, but remains an elusive goal. Traditional multivariate models
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11. Socioeconomic and racial/ethnic factors affecting non-fatal medically attended injury rates in US children.
OBJECTIVE: Using a representative survey of US children, the purpose was to evaluate separate effects of socioeconomic and racial/ethnic factors, including access to care, on medically attended non-fatal injury rates. METHODS: Multivariate linear regression models were used to determine associations between injuries and health care coverage (insurance or Med
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12. Evaluating the sale of a nonprofit health system to a for-profit hospital management company: the Legacy Experience.
OBJECTIVE: To introduce and develop a decision model that can be used by the leadership of nonprofit healthcare organizations to assist them in evaluating whether selling to a for-profit organization is in their community's best interest. STUDY SETTING/DATA SOURCES: A case study of the planning process and decision model that Legacy Health System used to eva