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| Voltarelli,Murilo A.; Silva,Rouverson P. da; Zerbato,Cristiano; Paixão,Carla S. S.; Tavares,Tiago de O.. |
| ABSTRACT Statistical process control in mechanized farming is a new way to assess operation quality. In this sense, we aimed to compare three statistical process control tools applied to losses in sugarcane mechanical harvesting to determine the best control chart template for this quality indicator. Losses were daily monitored in farms located within Triângulo Mineiro region, in Minas Gerais state, Brazil. They were carried over a period of 70 days in the 2014 harvest. At the end of the evaluation period, 194 samples were collected in total for each type of loss. The control charts used were individual values chart, moving average and exponentially weighted moving average. The quality indicators assessed during sugarcane harvest were the following loss... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Quality; Agricultural mechanization; Moving average; EWMA. |
| Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000601079 |
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| Mallory, Mindy L.; Lence, Sergio H.. |
| This study highlights some problems with using the Johansen cointegration statistics on data containing a negative moving average (NMA) in the error term of the data generating process. We use a Monte Carlo experiment to demonstrate that the asymptotic distribution of the Johansen cointegration statistics is sensitive to the NMA parameters and that using the stated 5% critical values results in severe size distortion. In our experiment, using the asymptotic critical values resulted in empirical size of 76% in the worst case. To date a NMA in the error term was known to cause poor small sample performance of the Johansen cointegration statistics; however our study demonstrates that problems associated with a NMA in the error term do not improve as sample... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Cointegration; Johansen cointegration test; Moving average; Agricultural Finance; Financial Economics; C32; C15. |
| Ano: 2010 |
URL: http://purl.umn.edu/61721 |
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