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Some data are inherently missing not at random because it is not possible to account for systematic differences between the missing values and the observed values using the observed data.
It computes the likelihood ratio and the p-value (value used to reject or accept the null model) using the observed data.
In other words, missing values do not depend on the missing data, yet can be predicted using the observed data.
Support Vector Regression (SVR), is the methodology by which a function is estimated by using the observed data.
Using the observed data, I fit the Richards function (Table 2) for each DBH class of moso bamboo, as illustrated in Fig. 2.
The apparent effect due to the post-seismic vertical displacement was already removed using the observed data by the method mentioned before.
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TEMPI uses the observed data (time-course gene expression data, known PPIs and GOBPs) as the input variables, estimates the output variables based on the probabilistic graphical model describing probabilistic dependencies among the input and output variables, and then infers TDNs using the estimated output variables.
Under certain conditions, more accurate estimates of the prevalences can be obtained using fused data (the original data plus the imputed data) than just by using only the observed data.
Univariate logistic regression was used to estimate the sensitivity and specificity as well as 95%% confidence intervals (CI) for each test using only the observed data.
MLR is similar to the full information maximum likelihood (FIML) method, in which missing data are not imputed, but parameters and standard errors are estimated directly using all the observed data [ 50].
This response was used as the observed data in inversion.
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