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We consider a generalization of the house-selling problem to selling k houses. Let the offers, X1,X2, . . ., be independent, identically distributed k-dimensional random vectors having a known distribution with finite second moments. The decision maker is to choose simultaneously k stopping rules, N1, . . . , Nk , one for each component. The payoff is the(More)
Let X1,X2, . . . be and i.i.d. sequence. We consider three stopping rule problems for stopping the sequence of partial sums, Sn = ∑n 1 Xi, each of which has a timeinvariance for the payoff that allows us to describe the optimal stopping rule in a particularly simple form, depending on one or two parameters. For certain distributions of the Xn, the optimal(More)
This study deals with decision making under uncertainty, and more specifically with a set of postulates (based on the concepts of utility and personal probability) for consistent decision making. It explores the degree to which these postulates are good descriptions of actual behavior and the degree to which they seem to be good norms. Experiments in the(More)
but each has drawbacks (1, 2). This paper presents an improved version of Garry and Routh’s modification (3) of Ellman’s method, as well as variations of this method for the assay of “true” cholinesterase in red cells and for the determination of the dibucaine number. The basic reactions are: Milwaukee, Wis. 53233), 2.0 mg/mI in 0.2 molar potassium(More)
In a growing body of literature, available partial knowledge is used to estimate the prior probability distribution p identical with(p(1),...,p(n)) by maximizing entropy H(p) identical with-Sigmap(i) log p(i), subject to constraints on p which express that partial knowledge. The method has been applied to distributions of income, of traffic, of stock-price(More)