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In addition, the mean and variance of observations are obtained generally based on Eqs.
In addition, the mean and variance of observations under the moderate censoring rate are equal to 7.1075 and 71.6985, respectively.
The analysis of variance is based on the comparison of the estimated variance among sample means to the estimated variance of observations within the samples.
In RSS, the variance of observations in each ranked set plays an important role in finding an optimal design for unbalanced RSS and in inferring the population mean.
The variance of observations is computed based on the traditional definition; ( {text{Var}}(W_{2} ) = E(W_{2}^{2} ) - {text{E}}^{2} (W_{2} ) ).
The presented mean and variance of observations lead to long time to set the lower control limit, ( {text{LCL}}_{4} ) by simulation.
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Table 1 Simulation condition Condition Value Robot speed 0.3 m/s Control cycle 0.2 s Observation cycle 0.2 s Max range of observation 3 m Variance of speed noise 0.09 m/s Variance of orientation noise 9° Variance of observation position noise 0.01 m Variance of observation angle noise 1°.
Four factors used to simulate the logistic model are: (a) combination function among input variables, (b) correlation between input variables, (c) variance of observation, and (d) training data set size.
It is worth mentioning that, of course, we could vary the amount of re-weighting the variances of observations in the other models until the (chi ^2 approx 1).
Then, the decrease in node impurity I from splitting τ based on gene gk is defined as I = c τ v − c τ L v (τ L ) − c τ R v (τ R ), where v, v τL) and v τR) are the variances of observations allocated to τ, τL and τR; while c τ, c τ L and c τ R are the number of samples allocated to τ, τL and τR.
At the scales associated with random variation, the N model underestimated the variance of the observations, and the predictions were correlated poorly with the observations.
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