Chapter 22: Consequences of Random Disturbances in Time Series Data
22.2 Consequences of Random Missing Values
Insertion and replacement of missing values
Results for missing value imputation with PROC EXPAND
Results for missing value imputation with PROC TIMESERIES
22.3 Consequences of Random Zero Values
22.4 Consequences of Random Biases
Standard deviation as basis for random bias
22.1 Introduction
General
This chapter analyses the consequences of random disturbances in time series data. The values of the dependent variable in the time series itself have been altered in order to simulate ...
