Skip to main content

Alternative Estimators for Point-Poisson Sampling

The full text article is temporarily unavailable.

We apologise for the inconvenience. Please try again later.

A new jackknife-based variance estimate is derived for point-Poisson (point-3P) sampling. This variance estimate is shown to be superior to most estimates derived assuming point-pps with or without replacement sampling, for a population with a very strong linear relationship between the variable of interest and the covariate used for sample selection and estimation. Only a variance estimate suggested by L. Grosenbaugh is equally good. This variance estimate is recommended since it is simplest to compute. Both the standard point-Poisson and a proposed unbiased jackknife estimate of total volume are about equally efficient. Forest Sci. 30:803-812.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Keywords: 3P; Jackknife; Raj estimator; negative variance estimates; pps with and without replacement

Document Type: Journal Article

Affiliations: Plant Analyst, Regional Timber Office, Container Corporation of America, P.O. Box T, Fernandina Beach, FL 32034

Publication date: 01 September 1984

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more