共查询到20条相似文献,搜索用时 31 毫秒
1.
C. G. Esseen 《Scandinavian actuarial journal》2013,2013(2):160-170
Abstract Consider a sequence of independent random variables (r.v.) X 1 X 2, …, Xn , … , with the same distribution function (d.f.) F(x). Let E (Xn ) = 0, E , E (?(X)) denoting the mean value of the r.v. ? (X). Further, let the r.v. where have the d.f. F n (x). It was proved by Berry [1] and the present author (Esseen [2], [4]) that Φ(x) being the normal d.f. 相似文献
2.
N. F. Gjeddebæk 《Scandinavian actuarial journal》2013,2013(2):154-159
Abstract 1. Introduction (a) Maximum Likelihood.—In a previous paper (THIS JOURNAL, vol. XXXII, 1949, pp. 135–159) the author gave tables of the functions and where ?(x) denotes the normal law of distribution, φ(x) its integral and ?′(x) its first derivative. With the aid of these tables it is practicable to solve the maximum likelihood equations for coarsely grouped normal observations. The procedure was illustrated by examples. 相似文献
3.
John Gurland 《Scandinavian actuarial journal》2013,2013(2):171-172
Abstract 1. Summary For all real values of α and λ satisfying α + λ > 0, α ≠ 0, α ≠ 1, λ > 0 the following inequality involving the Gamma function holds: This follows from a general inequality for the variance of regular unbiased estimators given by Cramér [1]. 相似文献
4.
Sven G. Lindblom 《Scandinavian actuarial journal》2013,2013(1):12-29
1. Some questions about the connection between statistical tests of significance for simple and multiple correlation coefficients and for differences between sample means (and between sample means and population means) of variables of one or several dimensions are treated in this paper. The distributions of the random variables that are considered in such tests are given, under certain conditions, by frequency functions of the following types 1 : where - ∞ < t < ∞, n≧1; where where 0 < t < ∞, k≧1, n≧k; and where . 相似文献
5.
《Scandinavian actuarial journal》2013,2013(3-4):207-218
Abstract Extract d1. Vis, at man for n ? 2 har når x ikke antager nogen af værdierne 0, ?1, ..., ?n+1, og når x ikke antager nogen af værdierne 0, 1, ..., n+1. 相似文献
6.
Henrik L. Selberg 《Scandinavian actuarial journal》2013,2013(3-4):121-125
Abstract Sei ?(x) eine für ? ∞ < x < + ∞ definierte reelle nichtnegative Funktion und 相似文献
7.
Per Ottestad 《Scandinavian actuarial journal》2013,2013(1-2):197-201
Asbtract The hypernormal (or Lexian) frequency function can be defined by the integral where θ(p) is the frequency (or density) function of p defined in the interval. We have, of course, that and that . 相似文献
8.
B. R. Rao 《Scandinavian actuarial journal》2013,2013(1-2):57-67
Abstract Rao [1] and simultaneously Cramér [2, 3] have shown that if f (x, θ) is the probability density function of a distribution involving an unknown parameter θ and distributed over the range α ? x ? b, where a and b are independent of θ, and if x 1 x 2 ... x n is a random sample of n independent observations from this distribution, the variance of any estimate unbiased for Ψ (θ), satisfies the inequality where E denotes mathematical expectation and is Fisher's information index about θ. In (1), equality holds if, and only if, θ* is sufficient for θ. This inequality is further generalized to the multi-parametric case. 相似文献
9.
G. P. M. Heselden 《Scandinavian actuarial journal》2013,2013(3-4):192-200
Abstract Let t (x, n) being defined by Max and . 相似文献
10.
J. F. Steffensen 《Scandinavian actuarial journal》2013,2013(3-4):193-202
Abstract 1. In the discussion that followed the reading to the Danish Actuarial Society of the paper quoted below1 it was suggested by Mr N. E. Andersen that the hypothesis T. F. (49), or , employed in the second half of the paper, might with advantage be replaced by xo being the initial age. In this way it is obtained that and it then follows, by T. F. (6), that 相似文献
11.
Ibrahim A. Ahmad 《Scandinavian actuarial journal》2013,2013(3):176-181
Abstract Bhattacharyya & Roussas (1969) proposed to estimate the functional Δ = ∫ ?∞/∞ f 2(x)dx by , where is a kernel estimate of the probability density f(x). Schuster (1974) proposed, alternatively, to estimate Δ by , where F n (x) is the sample distribution function, and showed that the two estimates attain the same rate of strong convergence to Δ. In this note, two large sample properties of are presented, first strong convergence of to Δ is established under less assumptions than those of Schuster (1974), and second the asymptotic normality of established. 相似文献
12.
Håkan Prawitz 《Scandinavian actuarial journal》2013,2013(3):145-156
Abstract Let Xbv (v = 1,2, ..., n) be independent random variables with the distribution functions Fbvx) and suppose . We define a random variable by where and denote the distribution function of X by F (x. 相似文献
13.
W. Simonsen 《Scandinavian actuarial journal》2013,2013(4):220-231
Summary In a paper in Biometrika, Anscombe (1950) considered the question of solving the equation with respect to x. Here “Log” denotes the natural logarithm, while N s , where N k >0 and N s =0 for s>k, denotes the number of items ?s in a sample of independent observations from a population with the negative binomial distribution and m denotes the sampling mean: it can in the case k ? 2 be shown that the equation (*) has at least one root. In vain search for “Gegenbeispiele”, Anscombe was led to the conjecture (l.c., 367) that (*) has no solution, if m 2 > 2S, and a unique solution, if k ? 2 and m 2 < 2S. In the latter case, x equals the maximum-likelihood estimate of the parameter ?. In the present paper it will, after some preliminaries, be shown that the equation (*) has no solution, if k=l, or if k?2 and m 2 ? 2S, whereas (*) has a unique solution, if k ? 2 and m 2 < 2S. 相似文献
14.
Walter Andersson 《Scandinavian actuarial journal》2013,2013(1-2):44-53
Abstract A set of observations contains N elements, and the two measures x and y are observed for each element. Searching the ? best value ? of y as dependent on x, we put 相似文献
15.
J. F. Steffensen 《Scandinavian actuarial journal》2013,2013(1-2):13-33
Abstract 1. In an earlier Note1 I have suggested to measure the dependence between statistical variables by the expression where pij is the probability that x assumes the value xi and y the value yj , while By is meant summation with respect to all i and j for which pij > pi* p*j . 相似文献
16.
D. R. Jensen 《Scandinavian actuarial journal》2013,2013(4):215-225
Abstract Let be Pearson's statistics for testing goodness of fit in various marginal distributions associated with a categorized array of N objects. This study is concerned with disturbances in the limiting joint distribution of when maximum likelihood estimates from the original ungrouped data are used instead of the usual estimates from the cell frequencies after grouping. Under regularity conditions the limiting distributions of , and are shown to satisfy for each positive {cb1 x ... x cbT }, where A(c) is the Cartesian product set A(c) = (0, cb1 ] x ... x (0, cbT ]. The limiting distributions are characterized in terms of partitioned Wishart matrices having unit rank and parameters as appropriate. These results are extensions of work by Chernoff and Lehmann (1954) and Jensen (1974). 相似文献
17.
D. V. Gokhale 《Scandinavian actuarial journal》2013,2013(3-4):213-215
Abstract For all real values of α and λ satisfying the following inequality holds. When compared with a similar inequality due to Gurland [3] this is seen to be stronger for a certain range of α. 相似文献
18.
Alfred Berger 《Scandinavian actuarial journal》2013,2013(1-2):52-54
Abstract In einer Note über die Theorie des Deekungskapitales habe ieh für das reduzierte Kapital der gemisehten Versicherung auf die Beträge At den Ausdruck gebraueht (1) wobei als Deckungsintensität bezeichnet wurde. 相似文献
19.
Ernst Zwinggi 《Scandinavian actuarial journal》2013,2013(1-2):165-170
Abstract The premium for a deferred disability pension payable continually during maximum n years may be expressed by means of the well known fundamental symbolic letters as in recent times, the exact value (1) is often approximated 1 by the expression 相似文献
20.
Henrik L. Selberg 《Scandinavian actuarial journal》2013,2013(3-4):114-120
Abstract 1. Es sei ?(x) eine für ? ∞ < x < + ∞ reelle nichtnegative Funktion, die für x = a ihr Maximum hat und von a nach beiden Seiten monoton abnimmt. 1 Ferner sei und konvergent. 相似文献