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| Detmann,Edenio; Cecon,Paulo Roberto; Andreotti,Marcelo de Oliveira; Resende,Flávio Dutra de; Sousa,Daniel de Paula; Ponciano,Niraldo José; Campos,José Maurício de Souza; Souza,Paulo Marcelo de; Vittori,Andrea. |
| The objective of this work was to evaluate the inter treatment discrimination according to feed conversion efficiency in several animal performance experiments. The variables investigated were: feed conversion ratio (FCR = intake: production ratio), feed efficiency index (FEI = production: intake ratio) and bio-nutritional index (BNI). The BNI was constructed from the first canonical variable obtained based on the multivariate analysis of variance of the intake and animal production (weight gain or milk production) variables. The results indicated that FCR and FEI reciprocated each other at experimental plot level but did not reciprocate at animal group or treatment level. This fact implicates distortions on the descriptive levels of probability of type I... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Bio-nutritional index; Cattle; Feed conversion ratio; Feed efficiency index; Multivariate statistical analysis; Poultry. |
| Ano: 2005 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982005000700030 |
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| Yang, Dao-jian; Liu, Su-xia; Zhang, Zan-zan. |
| Taking China Rural Statistical Yearbook in 2008 as the data source, we select 10 indices scientifically and rationally. By using SPSS statistical software, factor analysis method and cluster analysis method in multivariate statistical analysis, we conduct analysis on the level of rural economic development in 31 provinces, municipalities directly under the Central Government, autonomous regions in China. Finally we extract 4 composite factors and offer the overall ranking of them. We divide the 31 regions of China into four types, namely the regions with developed agricultural economy, the regions with relatively developed agricultural economy, the regions with less-developed agricultural economy, and the regions with underdeveloped agricultural economy. |
| Tipo: Journal Article |
Palavras-chave: Agricultural economy; Multivariate statistical analysis; Factor Analysis; Cluster Analysis; China; Agribusiness. |
| Ano: 2011 |
URL: http://purl.umn.edu/118222 |
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| Петров, А. Н.; Неврова, Е. Л.. |
| С применением алгоритмов многомерной статистики проведен сравнительный анализ особенностей структуры таксоценов донных диатомовых в двух районах юго-западного Крыма – бухтах Ласпи и Севастопольская, донные отложения которых различаются по уровню содержания ряда тяжелых металлов, хлорорганических соединений и нефтяных углеводородов. По результатам кластерного и ординационного анализа для каждого из районов выделены таксоценотические комплексы и внутрикомплексные группировки диатомовых, для которых выявлены наиболее значимые индикационные виды. Межкомплексные отличия в структурной организации таксоценов выражены в большей степени, и, вероятно, вызваны разной реакцией дискриминаторных видов, вносящих определяющий вклад в эти различия, к высокому уровню... |
| Tipo: Journal Contribution |
Palavras-chave: Диатомовые водоросли; Bacillariophyta.; Структура таксоцена; Индикаторы; Многомерный статистический анализ; Тяжелые металлы; Хлорорганические соединения; Черное море; Diatom algae; Taxocenе structure; Indicators; Multivariate statistical analysis; Heavy metals; Chlorine-organic compounds; Black Sea Indicators Heavy metals Heavy metals http://aims.fao.org/aos/agrovoc/c_2223. |
| Ano: 2004 |
URL: http://repository.ibss.org.ua/dspace/handle/99011/57 |
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