Sentence examples for as an observed variable from inspiring English sources

The phrase "as an observed variable" is correct and usable in written English.
It can be used in contexts related to research, statistics, or data analysis where you are referring to a variable that is measured or observed in a study.
Example: "In this experiment, we will analyze the effects of temperature as an observed variable influencing the reaction rate."
Alternatives: "as a measured variable" or "as a recorded variable".

Exact(2)

The use of realized variance as an observed variable in the state space model is also evaluated.

This variable is successively obtained from the segmentation algorithm and then considered as an observed variable in the aspect model.

Similar(58)

Note that the input signal vector x n is regarded as an observed random variable (without explicitly estimated statistics) and thus omitted in Fig. 3 for notational convenience in the later probabilistic calculus.

As a result the observed variable is equal to 1, 2, 3, 4 or 5 for "poor", "fair", "good", "very good" or "excellent" with this probability: P y=j|x)=F(mu_{j}-x_{i}beta -F(mu_{j}-x_{i}beta -F (8).

We therefore explored the possibility of a hydrological evaluation, where a model is calibrated for each dataset using streamflow as the observed variable.

Next, the result of rhtest [ 21, 26] was used as the observed variable of the HMM.

As part of our Lasso formulation, we assume as the observed variable, the EDM computed from the PDB structure.

Local IRBs like ours, the drug relative study was directly measured as the observed variable for the latent variable of vulnerability.

In the overlapping, each hidden variable is a parent of several observed variables, and several hidden variables can share a common observed variable as their child.

In the first stage, standard tests and regression models such as ANOVA and generalized linear models [ 27] will be employed for fitting changes in each observed variable as a function of relevant predictors.

Our use of general linear mixed models will insure unbiased results as long as missing data depend only upon observed variable (i.e., missing at random [MAR]).

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