Exact(1)
If the distribution of the measurement data is known for example, measurements are log-normally distributed then an alternative strategy replaces values below the DL with expected values of the missing measurements, conditional on being less than the DL (Garland et al. 1993; Gleit 1985).
Similar(59)
The missing measurements are described by a binary switching sequence satisfying a conditional probability distribution, and the nonlinearities are expressed by the statistical means.
The random sensor delay and missing measurements are described by two Bernoulli distributed random variables with known conditional probabilities.
A directed graph is used to represent the communication topology of the multi-agent network, and a binary switching sequence satisfying a conditional probability distribution is employed to describe the missing measurements.
The missing measurements from multi-sensors are described by a binary switching sequence that obeys a conditional probability distribution.
The missing measurements appear in a random way which is governed by missing rates obeying a certain probability distribution.
Only 25 days have missing measurements.
The missing measurements are considered the finite-time framework.
The missing measurements have been attracting a great number of attention due to the fact that the measurements are missing when sensors temporally fail [30 34].
If the phenomenon of missing measurements is not considered during the filter design, the actual missing measurements may deteriorate the designed filters.
Three subjects were missing measurements of SPMA.
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