  In this paper we define a new auction, called the Draw auction. It is based
on the implementation of a draw when a minimum price of sale is not reached. We
find that a Bayesian Nash equilibrium is reached in the Draw auction when each
player bids his true personal valuation of the object. Furthermore, we show
that the expected profit for the seller in the Draw auction is greater than in
second price auctions, with or without minimum price of sale. We make this
affirmation for objects whose valuation can be modeled as a bimodal density
function in which the first mode is much greater than the second one. Regarding
the Myerson auction, we show that the expected profit for the seller in the
Draw auction is nearly as good as the expected profit in the optimal auction,
with the difference that our method is much more simple to implement than
Myerson's one. All these results are shown by computational tests, for whose
development we have defined an algorithm to calculate Myerson auction.
