the concept of relative measure was fairly popular among polish mathematician of 1930 in lvov. steinhaus and urbanik were working on introducing a relative measure and relative measurability into the area of random variables. recent work on signal processing and time series has led to re-discovery of the 'old-school' theorems and application to data generated by signals or time-series. some fundamental work was done by garnder and continuation of this work was done by leskow and napolitano. a short informal introduction to nonstochastic approach to time series inference via relative measurability will be presented. applications to signal forecasting will be presented.