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Brighenti,Carla Regina Guimarães; Cirillo,Marcelo Ângelo; Costa,André Luís Alves; Rosa,Sttela Dellyzete Veiga Franco da; Guimarães,Renato Mendes. |
ABSTRACT: Tetrazolium tests use conventional sampling techniques in which a sample has a fixed size. These tests may be improved by sequential sampling, which does not work with fixed-size samples. When data obtained from an experiment are analyzed sequentially the analysis can be terminated when a particular decision has been made, and thus, there is no need to pre-establish the number of seeds to assess. Bayesian statistics can also help, if we have sufficient knowledge about coffee production in the area to construct a prior distribution. Therefore, we used the Bayesian sequential approach to estimate the percentage of viable coffee seeds submitted to tetrazolium testing, and we incorporated priors with information from other analyses of crops from... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Beta distribution; Seed analysis; Sampling; Coffee; Prior distribution. |
Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162019001300198 |
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BRIGHENTI, C. R. G.; CIRILLO, M. A.; COSTA, A. L. A.; ROSA, S. D. V. F. da; GUIMARÃES, R. M.. |
Tetrazolium tests use conventional sampling techniques in which a sample has a fixed size. These tests may be improved by sequential sampling, which does not work with fixedsize samples. When data obtained from an experiment are analyzed sequentially the analysis can be terminated when a particular decision has been made, and thus, there is no need to pre-establish the number of seeds to assess. Bayesian statistics can also help, if we have sufficient knowledge about coffee production in the area to construct a prior distribution. Therefore, we used the Bayesian sequential approach to estimate the percentage of viable coffee seeds submitted to tetrazolium testing, and we incorporated priors with information from other analyses of crops from previous years.... |
Tipo: Artigo de periódico |
Palavras-chave: Beta distribution; Seed analysis; Coffee; Prior distribution; Sampling. |
Ano: 2019 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1108760 |
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