Approximation of the breast height diameter distribution of two-cohort stands by mixture models III Kernel density estimators vs mixture models

  • Authors: Podlaski, Rafal; Roesch, Francis A.
  • Publication Year: 2014
  • Publication Series: Scientific Journal (JRNL)
  • Source: Sylwan. 158 (6):414-422

Abstract

Two-component mixtures of either the Weibull distribution or the gamma distribution and the kernel density estimator were used for describing the diameter at breast height (dbh) empirical distributions of two-cohort stands. The data consisted of study plots from the Šwietokrzyski National Park (central Poland) and areas close to and including the North Carolina section of the Great Smoky Mountains National Park (USA; southern Appalachians). Kernel density estimators belong to a class of nonparametric density estimators. Nonparametric estimators have no fixed structure and depend upon all the data points to reach an estimate. In this study the Weibull and the gamma mixture distributions were the most versatile models. The results also support the conclusion that there are only minor differences between the parametric models and the kernel density estimates.

  • Citation: Podlaski, Rafal; Roesch, Francis A. 2014. Approximation of the breast height diameter distribution of two-cohort stands by mixture models III Kernel density estimators vs mixture models. Sylwan. 158 (6):414-422. 9 p.
  • Keywords: two-component mixtures, tree diameter distribution, nonparametric goodness-of-fit tests, discrete ' distribution.
  • Posted Date: September 25, 2014
  • Modified Date: May 14, 2015
  • Requesting Print Publications

    Publication requests are subject to availability. Fiscal responsibility limits the hardcopies of publications we produce and distribute. Electronic versions of publications may be downloaded, distributed and printed.

    Please make any requests at pubrequest@fs.fed.us.

    Publication Notes

    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
    • Our online publications are scanned and captured using Adobe Acrobat. During the capture process some typographical errors may occur. Please contact the SRS webmaster if you notice any errors which make this publication unusable.
    • To view this article, download the latest version of Adobe Acrobat Reader.