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Strong laws for the k-th order statistic when k≦c log2 n
Probability Theory and Related Fields, 1986Let \(U_ 1,U_ 2,..\). be an i.i.d. sequence of random variables uniformly distributed over (0,1) and let for each n, \(U_{1,n}
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Law Enforcement K-9 Dog Bites: Injuries, Complications, and Trends
Annals of Emergency Medicine, 1997To quantify the number of individuals bitten, the number of bites per patient, and the types of injuries and complications caused by law enforcement K-9 dog bites treated in the Jail Ward Emergency Department of the Los Angeles County-University of Southern California Medical Center. These variables were compared before and after a change in K-9 police
H R, Hutson +5 more
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AbstractKantians are increasingly deserting the universal law formula in favor of the humanity formula. The former, they argue, is open to various decisive objections; the two are not equivalent; and it is only by appealing to the humanity formula that Kant can reliably generate substantive implications from his theory of an acceptable sort.
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Strong Laws for the k-th Order Statistic when k ≤ c log2n (II)
1989We give several bounds and characterizations for the lower almost sure classes of Uk,n, where k=kn denotes a nondecreasing integer sequence such that 1 ≤ kn = 0(log2n) as n → ∞, and where U1,n ≤… ≤Un,n denote the order statistics of the first n observations from a sequence of independent and uniformly distributed random variables on (0,1).
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The inverse care law re-examined: a global perspective
Lancet, The, 2021Richard Cookson +2 more
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