A multiple optimal stopping rule for sums of independent random variables

We consider multiple optimal stopping rules for a finite (with horizon $N$) sequence of independent random variables. We are interested in finding a stopping rule which maximises the expected sum of $k$, $1<k<N$, observations. The optimal stopping rule and the value of the game are obtained. This result can be applied in the house-selling problem and in behavioural ecology problems.