Table 6 Summary of notation and definitions
Notation | Definition |
|---|---|
b | The Bias |
\(Dist_{xy}\) | The Euclidean distance |
\(f(y_{obs})\) | The complete data in the data set |
H | The separating hyper-plane |
k | The data attributes |
m | The number of observations |
n | The number of observed data |
p | The probability of missing data |
q | The vector indicating the missingness association |
R | The missing value matrix |
\(v_j\) | Attributes containing missing data |
w | The weight vector |
\(w_j\) | Nearest neighbours |
x | The input vector |
\(x_i\cdot\) | The error terms for un-predicted determinants of \({\bar{y}}\) |
\(X_k\) | Mean estimation |
Y | The matrix of an entire data set |
\(Y_m\) | The missing data in R |
\(Y_o\) | The observed data in R |
\({\bar{y}}\) | The predicted data |