John R. Kender, Rick Kjeldsen
IEEE Transactions on Pattern Analysis and Machine Intelligence
The problem of collecting m copies of a set of n objects by random selection is studied. Previous efforts on this problem have assumed that the probability of selecting a particular object of the set at any trial is 1 n. In this paper it is assumed that the probability of selecting the ith object at any trial is given by pi = ∝ (i - 1) n i n f(u)du. The mean and the variance of the number of trials necessary to complete the collection are computed along with their asymptotic behavior as n → ∞. © 1963.
John R. Kender, Rick Kjeldsen
IEEE Transactions on Pattern Analysis and Machine Intelligence
J.P. Locquet, J. Perret, et al.
SPIE Optical Science, Engineering, and Instrumentation 1998
David Cash, Dennis Hofheinz, et al.
Journal of Cryptology
Satoshi Hada
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences