Determinación de estadígrafos de posición y dispersión por la metodología bootstrap en parcelas permanentes de muestreo
Article Sidebar
Main Article Content
Abstract
The bootstrap method is proposed to study the precision of mean estimates through the standard error in Permanent Parcels of Sampling in forest investigations. The variable volume was used by hectare, being concluded that one can improves the precision of the estimates with the application of this method and the errors are avoided by derivative approach of the supposition of normality in the estimate of the statisticians and the Empiric Distribution function was obtained for the studied variable.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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.
How to Cite
References
Diaconis, P.; B. Efron: «Computer Intensive Methods in Statistics», Scientific American 248(5):11613, 1983.
Efron, B.: «Bootstrap Methods. Another Look at the Jackknife», Annals of Statistics 7:1-26, 1976.
Efron, B.; R. J. Tibshirani: «Bootstrap Methods for Standard errors, Confidence Intervals, and Other Measures of Statistical Accuracy», Statistical Science 1(1):54-77, 1993.
Hinckley, D.W.: «Methods», Journal of the Royal Statistical Society, Series B, 50:321-337, 1988.
INFOSTAT: InfoStat versión 2008, Grupo InfoStat, FCA, Universidad Nacional de Córdoba, Argentina, 2008.
Lunneborg, C.E.: «Efron’s Booststrap with Some Applications in Psychology. Paper Presented at the Annual Meeting of Aera», Anaheim, CA, agosto, 1983.
–––––: «Bootstrap Applications for the Behavioral Sciences», Educational and Psychological Measurement 47:627-629, 1987.
Montalvo J. M.: «Parcelas de muestreo permanente», Instituto de Investigaciones Forestales, 2000.
Norma 595: «Tratamientos silviculturales», Ministerio de la Agricultura, 1982.