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51.
本文给出了等热流条件下热绕流运动密度场的加权残数解,并且在一给定的工况下计算了相应的密度场,所得结果与数值解及实验情况相吻合.该解法具有解析结构清楚、计算工作量小的特点. 相似文献
52.
Andris Abakuks 《Journal of the Royal Statistical Society. Series A, (Statistics in Society)》2006,169(1):49-60
Summary. In New Testament studies, the synoptic problem is concerned with the relationships between the gospels of Matthew, Mark and Luke. A careful specification in probabilistic terms is set up of what is known as the triple-link model, and, as a special case, the double-link model. Counts of the numbers of verbal agreements between the gospels are examined to investigate which of the possible triple-link models appears to give the best fit to the data. 相似文献
53.
Paul S. Clarke Peter W. F. Smith 《Journal of the Royal Statistical Society. Series B, Statistical methodology》2004,66(2):357-368
Summary. Log-linear models for multiway contingency tables where one variable is subject to non-ignorable non-response will often yield boundary solutions, with the probability of non-respondents being classified in some cells of the table estimated as 0. The paper considers the effect of this non-standard behaviour on two methods of interval estimation based on the distribution of the maximum likelihood estimator. The first method relies on the estimator being approximately normally distributed with variance equal to the inverse of the information matrix. It is shown that the information matrix is singular for boundary solutions, but intervals can be calculated after a simple transformation. For the second method, based on the bootstrap, asymptotic results suggest that the coverage properties may be poor for boundary solutions. Both methods are compared with profile likelihood intervals in a simulation study based on data from the British General Election Panel Study. The results of this study indicate that all three methods perform poorly for a parameter of the non-response model, whereas they all perform well for a parameter of the margin model, irrespective of whether or not there is a boundary solution. 相似文献
54.
贾晓慧 《武汉大学学报:哲学社会科学版》2005,58(1):40-46
康有为1888年上书与他的早期大同思想有直接的联系。"内圣外王"是康有为的思想体系,其渊源来自朱熹理学。他依循朱熹的伦理哲学,"修养"分为内外两个方面:其内的心性修养,产生了救国献身的精神力量;其外的穷究义理,得到了"治国平天下"的公理,为今后的变法行动作好了理论准备。由"内圣"走向"外王",第一步就是《第一次上清皇帝书》。 相似文献
55.
56.
Y.P. Mack 《Journal of statistical planning and inference》1983,8(2):185-192
Let fn(x) be the univariate k-nearest neighbor (k-NN) density estimate proposed by Loftsgaarden and Quesenberry (1965). By using similar techniques as in Bahadur's representation of sample quantiles (1966), and by the recent results on the oscillation of empirical processes by Stute (1982), we derive the rate of strong uniform convergence of fn(x) on some suitably chosen interval Jδ. Some comparison with the kernel estimates is given, as well as the choice of the bandwidth sequence relative to the sample size. 相似文献
57.
Recursive estimates of a probability density function (pdf) are known. This paper presents recursive estimates of a derivative of any desired order of a pdf. Let f be a pdf on the real line and p?0 be any desired integer. Based on a random sample of size n from f, estimators f(p)n of f(p), the pth order derivatives of f, are exhibited. These estimators are of the form , where δjp depends only on p and the jth observation in the sample, and hence can be computed recursively as the sample size increases. These estimators are shown to be asymptotically unbiased, mean square consistent and strongly consistent, both at a point and uniformly on the real line. For pointwise properties, the conditions on f(p) have been weakened with a little stronger assumption on the kernel function. 相似文献
58.
Let {ξi} be an absolutely regular sequence of identically distributed random variables having common density function f(x). Let Hk(x,y) (k=1, 2,…) be a sequence of Borel-measurable functions and fn(x)=n?1(Hn(x,ξ1)+…+Hn(x,ξn)) the empirical density function. In this paper, the asymptotic property of the probability P(supx|fn(x)?f(x)|>ε) (n→∞) is studied. 相似文献
59.
We show that sup, completely as, where f is a uniformly continuous density on are independent random vectors with common density f, and fn is the variable kernel estimate Here Hni is the distance between Xi and its kth nearest neighbour, K is a given density satisfying some regularity conditions, and k is a sequence of integers with the property that log asn 相似文献
60.