-
and the variance:
... the variance with a constant factor, this factor must be squared, because variance is a squared measure!
20 KB (3,198 words) - 10:07, 10 February 2024
-
...e. If not a pilot study needs to be carried out to derive an estimation of variance.
...nterest. For other variables the precision might be less or higher. As the variance might differ between multiple variables one typically consider in an invent
4 KB (604 words) - 09:01, 28 October 2013
-
... of LiDAR data). At the core of this research is the analysis of the error variance components that each data source brings into the system. Such error analysi
* Analysis of the error variance components that each data source brings into the system,
4 KB (522 words) - 14:13, 5 November 2014
-
... The small sample size led to a fairly high value of the estimated [[error variance]].
...u increase the [[sample size]] to the fourfold and, thus, reduce the error variance.
6 KB (963 words) - 15:18, 26 October 2013
-
|Variance
| <math>\sigma^2 \!</math> || parametric variance in the population;
3 KB (473 words) - 12:35, 26 October 2013
-
and the estimated [[error variance]] of the mean per sub-plot is:
... when we are interested in the variance per sub-plot, then the per-cluster variance needs to be divided by <math>\bar m^2 </math>, similar to the estimated mea
15 KB (2,378 words) - 12:15, 29 January 2024
-
...3</math> from the other two strata. The [[stratum parametric]] means and [[variance|variances]] are given in table 1.
...stratification. Table 3 presents the calculation of the parametric [[error variance]] for <math>n=10</math> and the defined allocation of samples to the three
4 KB (548 words) - 12:06, 26 October 2013
-
so that the parametric variance of the mean without replacement is
and the estimated variance of the mean without replacement
13 KB (2,133 words) - 12:36, 28 October 2013
-
If we take samples of size <math>n=10</math>, then the parametric error variance of the estimated mean is:
|align="left" |'''Pop. variance'''
5 KB (809 words) - 12:05, 26 October 2013
-
with an estimated error variance of
...known), this is a large deviation; and it is also a relatively large error variance. This is typical for sampling for rare events: estimation errors are usuall
4 KB (585 words) - 15:18, 26 October 2013
-
...or question is then whether we can make an unbiased estimation of mean and variance from a random sample of size <math>n = 1</math>. For the estimation of the
However, when we wish to estimate the variance with the estimator
15 KB (2,359 words) - 07:35, 28 October 2013
-
==Empirical approximation of error variance==
... produced; that is then an empirical approximation to the parametric error variance which is the closer to the unknown true value the larger the number of repe
11 KB (1,678 words) - 07:29, 8 May 2017
-
...nce which indicates in an empirical manner that the simple random sampling variance estimator is biased for systematic sampling.
The parametric error variance can be calculated as the variance from the population of all estimated means. In this case
3 KB (488 words) - 12:03, 26 October 2013
-
| <math>s^2_{h}</math> || Estimated variance of the target variable ''Y'' within <math>h^{th}</math> stratum
The estimated error variance is then
7 KB (1,105 words) - 06:05, 6 March 2014
-
...on of the effects of treatments: this technique is called ''analysis of co-variance''.
|<math>{s_y}^2\,</math>||Estimated variance of target variable;
15 KB (2,446 words) - 13:04, 14 April 2021
-
...mpling]] estimator. The latter had been calculated earlier: the parametric variance of the estimated mean (simple random sampling) is
and the error variance of the estimated total
5 KB (801 words) - 16:00, 26 October 2013
-
|<math>s_y^2</math> || Estimated variance of the target variable ''Y'';
|<math>{s'_x}^2</math> || Estimated variance of ancillary variable ''X'' in the first phase;
8 KB (1,157 words) - 06:09, 31 October 2013
-
...n 0 and 1. From these observations, the [[mean]], [[variance]] and [[error variance]] can be estimated along the known [[estimator]]s.
and the variance in the [[population]] is estimated from
16 KB (2,744 words) - 14:08, 26 September 2023
-
|align="left" |'''Pop. variance'''
| width="200pt" align="center" | '''Pop. Variance'''
5 KB (697 words) - 12:00, 26 October 2013
-
The parametric mean, total and variance of the variable Y (production) are, respectively,
...>. That is, the estimator is unbiased. At the bottom of Table 2, the error variance is calculated, for sampling with replacement and also for sampling without
11 KB (1,477 words) - 12:02, 26 October 2013
