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Sari,Bruno Giacomini; Lúcio,Alessandro Dal’Col; Olivoto,Tiago; Krysczun,Dionatan Ketzer; Tischler,André Luís; Drebes,Lucas. |
Abstract: The objective of this work was to evaluate the interference of sample size on multicollinearity diagnosis in path analysis. From the analyses of productive traits of cherry tomato, two Pearson correlation matrices were obtained, one with severe multicollinearity and the other with weak multicollinearity. Sixty-six sample sizes were designed, and from the amplitude of the bootstrap confidence interval, it was observed that sample size interfered on multicollinearity diagnosis. When sample size was small, the imprecision of the diagnostic criteria estimates interfered with multicollinearity diagnosis in the matrix with weak multicollinearity. |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Solanum lycopersicum; Bootstrapping; Multivariate analysis; Sampling. |
Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018000600769 |
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Sari,Bruno Giacomini; Lúcio,Alessandro Dal’Col; Santana,Cinthya Souza; Krysczun,Dionatan Ketzer; Tischler,André Luís; Drebes,Lucas. |
ABSTRACT: The aim of this study was to determine the required sample size for estimation of the Pearson coefficient of correlation between cherry tomato variables. Two uniformity tests were set up in a protected environment in the spring/summer of 2014. The observed variables in each plant were mean fruit length, mean fruit width, mean fruit weight, number of bunches, number of fruits per bunch, number of fruits, and total weight of fruits, with calculation of the Pearson correlation matrix between them. Sixty eight sample sizes were planned for one greenhouse and 48 for another, with the initial sample size of 10 plants, and the others were obtained by adding five plants. For each planned sample size, 3000 estimates of the Pearson correlation coefficient... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Solanum lycopersicum var. cerasiforme; Sampling; Resampling; Bootstrap.. |
Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017001000206 |
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