Regression model selection for describing the spatial pattern of Thrips palmi Karny (Thysanoptera:thripidae) in potato crop

Article Sidebar

PDF (Español (España))
Published: May 29, 2013
Keywords:
statistical analysis, selection, models, Thrips palmi, potato

Main Article Content

A. Cabrera
Centro Universitario de Guantánamo

Abstract

Several criteria of fit and statistical significance were applied in order to select the estimates of Taylor�??s Power Law (TPL) and Iwao�??s Regression as ecological indicators of the spatial pattern of Thrips palmi Karny populations in plantations of potato, Solanum tuberosum L., under production conditions for three campaigns (1998-2000). Parameters a and b of TPL were estimated in two ways: changing the model by means of logarithmic transformation to make it linear and through nonlinear regression, as well as ? and ? in Iwao�??s Regression. The significance of parameters and the model, the R-squared statistics, the sum of squares of standardized residuals, the correlation coefficient between observed values and predicted ones, and the fulfilment of theoretical assumptions through the evaluation of residuals were applied  in the analysis to choose the best model. As a result of the integral valuation of criteria, linearized TPL is the suitable model in order to select their estimates as ecological indexes of aggregation, with values of b=1.43 for larvae and b=1.20 for adults, indicating an aggregated spatial pattern.

Article Details

How to Cite
Cabrera, A. (2013). Regression model selection for describing the spatial pattern of Thrips palmi Karny (Thysanoptera:thripidae) in potato crop. Cultivos Tropicales, 23(4), 76–81. Retrieved from https://ediciones.inca.edu.cu/index.php/ediciones/article/view/633
Issue
Vol. 23 No. 4 (2002)
Section
Original Article

Those authors who have publications with this journal accept the following terms of the License Attribution-NonCommercial 4.0 International (CC BY-NC 4.0):

You are free to:

  • Share — copy and redistribute the material in any medium or format
  • Adapt — remix, transform, and build upon the material

The licensor cannot revoke these freedoms as long as you follow the license terms.

Under the following terms:

  • Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • NonCommercial — You may not use the material for commercial purposes.
  • No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

The journal is not responsible for the opinions and concepts expressed in the works, they are the sole responsibility of the authors. The Editor, with the assistance of the Editorial Committee, reserves the right to suggest or request advisable or necessary modifications. They are accepted to publish original scientific papers, research results of interest that have not been published or sent to another journal for the same purpose.

The mention of trademarks of equipment, instruments or specific materials is for identification purposes, and there is no promotional commitment in relation to them, neither by the authors nor by the publisher.