TD_MAMEAN

The TD_MAMEAN uses available historical data to forecast activity h periods ahead. It is what is classified as being a flat forecaster, since, given 't' historical observations; the forecast for any period beyond 't+1' is equal to the forecast for 't+1'. Another usage of this forecaster is to use it to forecast just one-period ahead. So, if historical data is available up to and including time 't', it can be used to forecast the value at time 't+1'. Later, when the actual time 't+1' value becomes available, it can be used to forecast the value at time 't+2'; and so on and so forth.. The Mean Forecaster, simply stated, says that: given historical data up to time 't', the forecasted value for time 't+1' is simply the mean of the existing historical values.

Input ports

1. Type: DB Session
   Teradata Connection
   Connection to a Teradata Database Instance
2. Type: Table
   Input
   Passed in a logical univariate series, this function will forecast “h” periods (“h” steps) into the future, meaning “h” periods beyond the last observed sample point for the passed in series

Output ports

1. Type: Table
   output of TD_MAMEAN
   output of TD_MAMEAN