依托冀中南经济区优势 促进邯郸产业发展

邯郸市是国家历史文化名城,地处河北省南部,晋冀鲁豫四省交界和中原经济区腹心,矿产资源丰富,是河北经济发展的重要力量,依据其独特的优势,经济不断发展。但是在新形势下,邯郸经济发展也面临着许多困难与挑战。文章主要从邯郸经济发展拥有的优势、基于优势建立起来的支柱产业,融合了京津冀一体化大背景下,邯郸进行产业结构调整面临的机遇与挑战以及未来邯郸应当如何转型升级发展等问题展开分析。     

区域文化产业创造力比较体系的构建研究——以中部六省为研究样本

在各地文化产业蓬勃发展的背景下,区域文化产业创造力是评价一地区文化产业发展状况和优劣势的重要方法。文章以中部六省为研究样本,采用因素综合法,以产业竞争力的决定因素为评价对象,遵循综合性、代表性、层次性的原则选取单项指标,间接实现对文化产业创造力的评价。在数据收集阶段,由于详细数据的无法实现,采用主因子分析法解决这一问题,运用贡献率分析选取主因子,最终通过主因子赋值排序实现对中部六省文化产业创造力的评价。     

《马氏文通》中关于介词"之"用法分析的缺陷

<马氏文通>是我国语法学史上第一部系统性的语法著作.它系统全面地论述了古汉语语法,具有一个完整的语法理论体系,但其中的矛盾之处也很多.如对介词"之"用法的分析存在缺陷:第一,它的分类标准不统一,类别的归属不够恰当,介词"之"的同一类用法出现在不同的类属中.第二,由于对语法结构的认识不成熟,导致举例不当.     

班禅系统与中央政府关系发展分期及特点

17世纪中期,班禅系统与中央政府开始建立联系。之后的三个多世纪以来,二者的关系尽管一度出现挫折,并呈现出一定的功利性,但合作和发展一直是主流。同时,在长期的交往中,二者关系发展呈现出许多独自的特点。考察班禅系统与中央政府之间的关系,对于认识中央政府与西藏地方关系具有重要的意义。     

A New Goodness-of-Fit Test Based on the Empirical Characteristic Function

In this article, we present a goodness-of-fit test for a distribution based on some comparisons between the empirical characteristic function c_n(t) and the characteristic function of a random variable under the simple null hypothesis, c₀(t). We do this by introducing a suitable distance measure. Empirical critical values for the new test statistic for testing normality are computed. In addition, the new test is compared via simulation to other omnibus tests for normality and it is shown that this new test is more powerful than others.     

Normal approximation in an urn model with indistinguishable balls

For the Bose-Einstein Statistics, where n indistinguishable balls are distributed in m urns such that all the arrangements are equally likely, define the random variables

M_k = number of urns containing exactly k balls each;

N_k = number of urns containing at least k balls each.

We consider the approximation of the distributions of M_k and N_k by suitable normal distributions, for large but finite m. Estimates are found for the error in the approximation to both the probability mass function and the distribution function in each case. These results apply also to the alternative model where no urn is allowed to be empty. The results are illustrated by some numerical examples.     

Model-based confidence bands for survival functions

This paper focuses on a novel method of developing one-sample confidence bands for survival functions from right censored data. The approach is model-based, relying on a parametric model for the conditional expectation of the censoring indicator given the observed minimum, and derives its strength from easy access to a good-fitting model among a plethora of choices available for binary response data. The substantive methodological contribution is in exploiting a semiparametric estimator of the survival function to produce improved simultaneous confidence bands. To obtain critical values for computing the confidence bands, a two-stage bootstrap approach that combines the classical bootstrap with the more recent model-based regeneration of censoring indicators is proposed and a justification of its asymptotic validity is also provided. Several different confidence bands are studied using the proposed approach. Numerical studies, including robustness of the proposed bands to misspecification, are carried out to check efficacy. The method is illustrated using two lung cancer data sets.     

Parameter measures of skewness

Several different measures of skewness are commonly used in place of γ₁, the third central moment divided by the cube of the standard deviation. The numerical values of these measures are compared in this paper for members of the gamma, lognormal or Weibull family of distributions and shown to vary considerably in most cases even when skewness and kurtosis are moderate.     

Distance equalizers

Distance equalizers are introduced as empirical measures of central tendency that make distances to univariate data as similar as possible. These measures are made precise by means of various so-called fluctuation functions which account for distances in different ways. Distance equalizers differ from the mean as well as from the median. Also, distance equalizers relate to dispersion measures. Algorithms and closed-form solutions for special cases are given. Some computations require to perform multiextremal function minimization. Distance equalization is extendable to data from higher dimensions and to function quantization in signal processing.     

Multivariate Kendall's tau for change‐point detection in copulas

Statistical procedures for the detection of a change in the dependence structure of a series of multivariate observations are studied in this work. The test statistics that are proposed are $L_1$ , $L_2$ , and $L_{\infty }$ distances computed from vectors of differences of Kendall's tau; two multivariate extensions of Kendall's measure of association are used. Since the distributions of these statistics under the null hypothesis of no change depend on the unknown underlying copula of the vectors, a procedure based on the multiplier central limit theorem is used for the computation of p‐values; the method is shown to be valid both asymptotically and for moderate sample sizes. Alternative versions of the tests that take into account possible breakpoints in the marginal distributions are also investigated. Monte Carlo simulations show that the tests are powerful under many scenarios of change‐point. In addition, two estimators of the time of change are proposed and their efficiency is carefully studied. The methodologies are illustrated on simulated series from the Canadian Regional Climate Model. The Canadian Journal of Statistics 41: 65–82; 2013 © 2012 Statistical Society of Canada