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To improve the confidence level of quantile function estimation, scatter factor method is combined with maximum entropy method to estimate the confidence interval of quantile function.
Since no prior information is available on the functional form of the unknown reaction coefficient, thus it can be classified as function estimation for the inverse calculations.
Patient trajectories are shown together with the estimated mean function (bold curve) obtained using a kernel smoother (a nonparametric function estimation procedure) with bandwidth chosen via the generalized cross-validation (GVC) procedure implemented in PACE package in Matlab.
In this paper, optimal designs are derived in case of multiplicative heteroscedasticity for either response function estimation or response and variance function estimation by using a Bayesian approach.
Geostatistics is best known under the heading of kriging and covariance function estimation.
An improved version of the function estimation program GDF is presented.
A density function estimation method based on state forecasting is then used to judge the fault.
The major part deals with designs optimal for response function estimation under the assumption of homoscedasticity.
H1, H2 and Hv are the most commonly used algorithms for frequency response function estimation.
Finally, some methods for probability density function estimation were also considered.
We formulate robot control as vector-valued function estimation and present a novel generative grammar for vector-valued functions.
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