By replacing each missing value with several values, multiple imputation takes into account the uncertainty of the imputed value [ 23, 27].
We then calculated the difference between the imputed value for the patient who had the event and the mean of the imputed values for all patients who were on ventilator immediately before the event.
That imputed value, of course, would partly depend on the recipient's money income as well.
That imputed value, of course, would depend in part on the recipient's money income.
That imputed value is never higher than the value now used by the C.B.O., and for many very low-income families it is much lower or even zero.
While the general approach to deal with missing values is multiple imputation, this option is problematic in our case given that each individual has different bounds for the imputed value.
Off-farm households earned the bulk of their income (including imputed value of subsistence income) from salaries, livestock products, firewood/charcoal and crops, totaling to an average of KShs 76,000 per year (USD 778).
This process can be approximated by evaluating each Gaussian on a list of feasible clean speech candidates and then selecting the candidate which maximizes the likelihood as the imputed value.
Let denote the mth imputed value of (m= 1, …, M).
For PMM [ 9] the imputed value x j ∗ is taken as x h.
