Title: Markov-Modulated Linear Regression,
Abstract: Classical linear regression is considered for a case when regression
parameters depend on the external random environment. The last is described as
a continuous time Markov chain with finite state space. Here the expected
sojourn times in various states are additional regressors. Necessary formulas
for an estimation of regression parameters have been derived. The numerical
example illustrates the results obtained.