When stations are dispersed in a wide hydrometeorological network, the
use of regression methods is complex and hazardous. This is the case
for the Desaguadero river basin, located in the Bolivian highland plai
n where the completion of missing data in hydrological series requires
the use of stochastic models. These models were reviewed in order.to
evaluate the possibility of eliminating the periodicity and sequential
relationship of the hydrological series. This analysis allowed the de
tection of the effect of groundwater rising from the water table and,
to a lesser extent, that of hot springs. These conditions rendered the
modelisation of the system complex. The use of stochastic models to r
econstitute a new series statistically alike to the historic series wa
s successful. The statistical characteristics of the new series are si
milar to those of the observed series.