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• Double sampling with ratio or regression estimator
  ... as ancillary variables when double sampling with the ratio or regression estimator is being used. ...two variables can be established, either a ratio or a [[linear regression|regression]]. The second phase sample is usually small because the observation of Y i
  8 KB (1,157 words) - 06:09, 31 October 2013
• Double sampling with ratio or regression estimator examples
  ...target variable once the ancillary variable is known. In many cases, this regression, however, is not very strong so that the overall [[Accuracy and precision| ...ich both leaf area and leaf weight are determined. In order to apply this regression, the mean (or total) leaf weight needs to be determined: for this purpose
  2 KB (324 words) - 15:17, 26 October 2013

Page text matches

• Double sampling
  ...mator]] or a regression in the case of double sampling with the regression estimator). Here, the correlation to the ancillary variable is also used to reduce th In addition to [[double sampling with ratio or regression estimator]], there is a third variation of double sampling, some times used in forest
  7 KB (1,105 words) - 06:05, 6 March 2014
• Ratio estimator
  ...Example of a population of 30 unequally sized strip plots; here, the ratio estimator may be applied for estimation using plot size as co-variable (DeVries 1986< ...imating the target variable. This is exactly the situation where the ratio estimator is applied.
  15 KB (2,446 words) - 13:04, 14 April 2021
• Double sampling with ratio or regression estimator
  ... as ancillary variables when double sampling with the ratio or regression estimator is being used. ...two variables can be established, either a ratio or a [[linear regression|regression]]. The second phase sample is usually small because the observation of Y i
  8 KB (1,157 words) - 06:09, 31 October 2013
• Non-response
  ...to the mean value we reduce or eliminate the downward bias of the variance estimator. ...ma</math> is the residual [[standard deviation]] obtained from fitting the regression model (overall or in the corresponding stratum).
  5 KB (783 words) - 13:30, 26 October 2013
• Statistical estimations
  [[File:3.5-fig00.png|right|thumb|300px|'''Figure 1''' The estimator is the calculation algorithm (formula) that produces the estimation (Kleinn |regression coefficients
  3 KB (390 words) - 08:59, 28 October 2013
• Estimation on changes
  ...ing with ratio or regression estimator|double sampling with the regression estimator]] to be efficient).
  13 KB (2,144 words) - 07:06, 28 October 2013