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What is the major assumption of Filtering Theory? 


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The major assumption of Filtering Theory is that the observations can be represented as a stochastic process . This assumption allows for the application of filtering methods to estimate unknown parameters based on the observed data. In the context of chemical models, this assumption is used to construct an estimator for the initial conditions and unknown parameters . The effectiveness of an experiment can be assessed by calculating the Rao-Cramer lower bound, which provides a measure of the estimator's efficiency . In the context of stochastic traffic regulators, the assumption of a deterministic traffic regulator generating f-constrained outputs allows for the implementation of a linear time invariant filter with the impulse response f .

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The major assumption of Filtering Theory is that measurements of the decrease in beam intensity in various sequences of windows can be used to recognize which windows are light beam filters.
The major assumption of the Filtering Theory is that larger urban areas tend to have a declining share of growth industries as a result of the dominance of metropolitan areas in innovative activities.
The major assumption of Filtering Theory is that the function f used in the linear time invariant filter is increasing and subadditive.
The major assumption of Filtering Theory in the context of the provided paper is that the frailties in the heterogeneous population give rise to a discrete, exchangeable random vector.
The major assumption of Filtering Theory is that the experimental error can be represented as a white noise process.

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