Note that the above estimation is valid only for examples shown in Fig. 11.
The results also show that the closed-form expressions for adaptive OFDM systems with imperfect channel estimation is valid.
This shows that the proposed estimation is valid, while large errors also exist even at low probability.
However, the findings should be regarded with caution since this estimation is valid only under normal error distribution.3 Furthermore, this model also shows an autocorrelation problem, and there is still an ARCH effect.
We believe that this estimation is valid because the inclusion criteria are the same, provided that the ethnicity is consistent as the Spanish group itself proposed.
We found that, as long as the covariate was included in both submodels (tumour growth and the time to symptomatic detection), estimation was valid.
We confirmed the model using a spike-in experiment and showed that the concentration range over which the estimation was valid over 5 orders of magnitude, which was much wider than preceding methods.
If such an estimation is valid then string str is statistically indistinguishable from the profile string Tdm L. In this case, string str can be considered a realization of the string Tdm L. To check the statistical indistinguishability of strings str and Tdm L, the D L spectrum, called a spectrum of string str deviation from L-profility, is used.
However, since the algorithms provide a conservative estimation, they are valid to estimate the maximum network investment.
With the exception of the conventional least squares regression result that applies with truly exogenous variables such as indicators, dummies and time, the estimations and inference are valid as long as the dependent variable and any potentially endogenous regressors are I(1), Kitamura and Phillips (1995).
