Landmarks in defense literature

Achtung-Panzer! By Major General Heinz Guderian, Translated by Christopher Duffy with Introduction and Notes by Paul Harris. (Arms & Armour Press £16.99. ISBN 1-85409-138-7, 220 pages)     

Cycles and trends in the procurement system: Anticipating changes in acquisition legislation, regulation and policy

In conclusion, let me raise the question of whether the Law Panel can impact these cycles or reverse these trends. If they are regarded as historical imperatives, the answer is clearly No. But we have been urged to be bold and to try to devise a new, simplified statute that will take us back to a better day. We are going to do that, without regard to the question whether Congress will accept the solution.

There probably has never been a better time for the Panel's report than the present; the window of opportunity is open. But what the Panel recommends is going to be awfully hard to sell, even in a window-of-opportunity year. If the predictions come true about the defense budget's going down to the level of the period when Eisenhower remained a Major for 14 years, maybe Congress will be receptive to anything that adds a little bit of value to the defense dollar. With this in mind, the Law Panel is likely to be very bold in its attempt to streamline the procurement system and reduce oversight. Hope springs eternal . . . .     

Rectilinear m-Center problem

In this article we consider the unweighted m-center problem with rectilinear distance. We preent an O(n^m–2 log n) algorithm for the m-center problem where m ≥ 4.     

A new bivariate negative binomial distribution

A new bivariate negative binomial distribution is derived by convoluting an existing bivariate geometric distribution; the probability function has six parameters and admits of positive or negative correlations and linear or nonlinear regressions. Given are the moments to order two and, for special cases, the regression function and a recursive formula for the probabilities. Purely numerical procedures are utilized in obtaining maximum likelihood estimates of the parameters. A data set with a nonlinear empirical regression function and another with negative sample correlation coefficient are discussed.