"biased estimation" is a correct and usable phrase in written English and it has a number of possible uses.
For example, you could say: "The results of the biased estimation showed that the proposed plan was likely to be effective."
However, the Kaplan-Meier estimate was very precise around this biased estimation.
Hence, the estimates of yield are likely to be inaccurate; if so, it follows that production statistics derived from the harvested area and the estimated yield may be subject to a biased estimation.
Model frequency parameters are estimated with bias, which leads to biased estimation of the equilibrium codon frequencies, which leads to compensatory biased estimation of the substitution rate parameters.
This approach transforms unbiased estimation to biased estimation by adding constraints that minimize the weighted quadratic sum of some parameters.
Analysis that ignores the complex sampling design can yield biased estimation of the genetic association and inflation of the type I error.
The necessary number of treatment combinations for unbiased estimation of significant parameters is often exceeded; undesirable confounding, i.e., biased estimation, is difficult to avoid.
However, this method produces biased estimation because for some diseases, the incidence is not distributed uniformly across populations.
Note that the PoD for RADOI becomes constant for SNR ≤ 3 dB, which corresponds to a biased estimation.
This is to maintain that the CRLB may be also meaningful in a study of biased estimation algorithms.
A small sample size (e.g. n = 25) can also lead to the biased estimation for LD.
Apparently, these discrepancies are due, primarily, to incomplete underlying evolutionary models and biased estimation techniques [ 10].
