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With all five double sampling estimators, bias in estimates of means and standard errors (the latter estimated analytically or through bootstrapping) was generally small and consistent with theoretical expectations.
The low computational times of the method enable the use of large scale Monte-Carlo simulations yielding accurate estimates of means and coefficients of variation of frequencies and damping ratios.
Model parameters of the most theoretically appealing specification include estimates of means (i.e., aggregate preferences for the attributes studied) and regression coefficients for the effects of latent variables on the taste sensitivities common to the decision scenarios (i.e., structure of preferences in relation to the attributes).
When y ¯ is related to a unit area (e.g. ha) then the population size N can be replaced by the area of the entire population A. Under the assumption that the estimates of means are normally distributed, the lower and upper confidence limits for the population mean and total are as follows: y ¯ L = y ¯ − ts n, y ¯ U = y ¯ + ts n Y ^ L = N y ¯ − tNs n, Y ^ U = N y ¯ + tNs n.
Medians were used as best estimates of means.
Estimates of means and their 95% confidence intervals were calculated.
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Alternatively, traces can be synthetically generated based on subscriber estimates of mean or peak workload behaviour.
An optimal raingauge network leads to more accurate estimates of mean or point precipitation at any site over the watershed.
A validation data sets from January 2006 to October 2013 was used to test the length of time the estimates of mean SWS remained valid.
Among the FSD models, the CF and MB models gave good estimates of mean velocity and temperature.
Crossbred groups of WM×CM and CM×WM recorded the highest estimates of mean and percentage heterosis for SRBC (2.65 and 38.93%) and HC (1.72 and 36.84%), respectively.
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