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| de la Vega,R; Díaz,G; da Fonseca,A.H. |
| Multivariate statistical methods are relatively new tools for data analysis. They have a lot of applications in biological researches: nevertheless, for several reasons, they have not been widely employed in this subject yet. Recently, present authors published a paper applying multivariate statistics on non-parasitic phase of Anocentor nitens. In the present article Boophilus microplus has received a very similar statistic treatment. In this paper, the influence of different incubation conditions was studied in groups of 12-15 individuals in each of the 24 combinations of six temperatures 24, 27, 30, 32, 34 and 36ºC and four relative humidity values, 100, 80, 75.5 and 70% over the cycle variables of B. microplus. According to the results, the best... |
| Tipo: Journal article |
Palavras-chave: Ticks; Ixodidae; Boophilus microplus; Multivariate Analysis; Non-parasitic phase. |
| Ano: 2010 |
URL: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S0253-570X2010000200004 |
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| de la Vega,R; Díaz,G. |
| Multivariate statistical methods are useful tools complementary to classic univariate methods. In biology, they are used in several scenarios where data structure, classification and grouping are necessary. Nevertheless, it seems they have not been employed in the study of non-parasitic phase of ticks or any other arthropod. In this paper, the influence of different incubation conditions was studied in groups of 12-15 individuals in each of the 24 combinations of six temperatures 24, 26, 28, 30, 32, and 34ºC and four relative humidities 100, 80, 75.5 and 70% over the cycle variables of Anocentor nitens looking for establishing the most suitable environmental conditions to increase or decrease ticks performance and to apply these knowledges to zoogeography.... |
| Tipo: Journal article |
Palavras-chave: Ticks; Ixodidae; Multivariate Analysis; Non-parasitic phase. |
| Ano: 2008 |
URL: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S0253-570X2008000200002 |
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| Marzano Araujo, Vanessa; Mota, Vania Correa; De Lima, Ivis Bento. |
| Neste trabalho, buscou-se utilizar a técnica multivariada de análise dos componentes principais para verificar, dentre três indicadores selecionados, qual apresenta maior influência no nível de desenvolvimento da Mesorregião Metropolitana de Belo Horizonte para o ano de 2004. A discussão em torno do tema desenvolvimento é antiga, várias concepções já foram adotadas por teóricos, porém ainda não se conseguiu chegar a uma definição que seja clara sobre o que realmente significa desenvolvimento. A visão contemporânea do termo é que o desenvolvimento deve ir além do estritamente econômico, proporcionando o crescimento das variáveis macroeconômicas e a redistribuição dessas riquezas para toda a população, num processo que também eleve os indicadores sociais e... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Desenvolvimento Regional; Análise Multivariada; Belo Horizonte; Regional Development; Multivariate Analysis; Belo Horizonte; Community/Rural/Urban Development. |
| Ano: 2008 |
URL: http://purl.umn.edu/102226 |
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