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Métodos estatísticos para análise robusta de dados oriundos de experimento agrícola em áreas irrigad
| Content Provider | Semantic Scholar |
|---|---|
| Author | Sousa, Justin A. Guerra, Hugo Orlando Carvallo Lacerda, Rogério Dantas De Hoces, Eduardo Holzapfel |
| Copyright Year | 2017 |
| Abstract | Usually, the conclusions originated from field or green house experiments are obtained from Variance Analysis (ANOVA). However, the use of this technique demands two fundamental presuppositions: that the errors must be normally distributed and that the variance of the treatments must be homogeneous. However, most of the time, these exigencies are neglected due to lack of theoretical knowledge, fact that may lead the researcher to equivocated conclusions. Thus, it was made an analysis of an experimental data in entirely random blocks with four soil water treatments (25, 50, 75 e 100% of ETo) and four repetitions summing up 96 1 Doutor, professor UFCG/CES/UAE. E-mail: jorgeas@ufcg.edu.br 2 Ph.D, professor UC/FIA. E-mail: eholzapf@udec.cl 3 Ph.D, professor da UFCG/CTRN/UAEAg. E-mail: hugo_carvallo@hotmail.com 4 Doutor, profesor do IFRN. E-mail: Rogerio.dantas@ifrn.efu.br J. A. de Sousa et al. experimental unities of commercial avocado (Persea americana Mill.) Cv. Hass, in an area located in Los Molinos farm in the Vale do Peumo, Cachapoal Province, Chile, with UTM coordinates: 299526 E, 6191981 N. It was observed that the presuppositions diagnoses added to Box-Cox transformations proportionated a viable, robust and reliable analysis of the experiment final data. |
| File Format | PDF HTM / HTML |
| DOI | 10.7127/iv-inovagri-meeting-2017-res0270597 |
| Alternate Webpage(s) | http://www.inovagri.org/anais/TC0270597.pdf |
| Alternate Webpage(s) | https://doi.org/10.7127/iv-inovagri-meeting-2017-res0270597 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
