A test of nonparametric smoothing of diameter distributions

Terry D. Droessler, Thomas E. Burk

Research output: Contribution to journalArticlepeer-review

20 Scopus citations


Smoothing a sample-based diameter distribution can provide a potentially better paradigm of a population distribution. Goodness-of-fit comparisons between raw cumulative distribution functions, nonparametric curves and Weibull densities fit to the raw distribution are presented based on two simulated forest stands.

Original languageEnglish (US)
Pages (from-to)407-415
Number of pages9
JournalScandinavian Journal of Forest Research
Issue number1-4
StatePublished - Jan 1 1989

Bibliographical note

Funding Information:
Research supported by the Department of Forest Resources, College of Natural Resources, University of Minnesota, the Minnesota Agricultural Experiment Station through project 42-044, and the University of Minnesota Academic Computing services and system.


  • Dbh distribution
  • Nonparametric density estimation


Dive into the research topics of 'A test of nonparametric smoothing of diameter distributions'. Together they form a unique fingerprint.

Cite this