陕西文化产业发展的契机与路径

在文化产业逐步成为推动经济转型发展重要推手的背景下,陕西文化产业在推动消费方式转变和引领消费结构升级方面存在明显的不足,对陕西文化产业在加快创新发展、培育壮大新动能、改造提升传统动能、推动经济保持中高速增长、产业迈向中高端水平等方面的作用及其发展机遇进行分析论证。将数字创意产业纳入国家战略性新兴产业发展规划、“互联网+”技术推动经济社会发展方式变革、科技与文化融合形成的创新驱动力、“文化+”的跨界融合等都为陕西文化产业的发展带来了机遇;陕西文化产业要实现突破式发展需从转变观念获得追赶超越的新模式,从产业转型面临的新理念获得发展新思路,从文化科技创新驱动的新动能获得发展新趋势,从“文化+”“互联网+”新业态获得发展新格局。在此基础上,提出陕西文化产业发展的路径是:围绕“文化+”发展新型业态,促进文化旅游产业、文化科技产业的融合发展,加快文化和制造业的融合发展,推动陕西文化产业空间布局优化调整;培育具有自主知识产权和市场竞争力强的骨干企业,构建基于互联网能力开放的应用聚合及业务的科技文化创新体系;优化文化产业的公共信息服务平台和投融资平台,加强产业融合系统布局和顶层设计,发展民营文化企业;实施文化产业人才培养工程,建立文化产业人才研究与引进机制,扶持本地创业团队和文化创意产品。     

《诗·周南·关雎》主旨:从“以色喻于礼”到“夫妇之德”再探

对《诗·周南·关雎》篇主旨的解读从先秦以来一直存在不同观点:早期儒家从情感与礼义之关系角度,以“以色喻于礼”评论《关雎》主旨;汉儒则认为《关雎》体现着“后妃之德”,具有“风天下而正夫妇”的教化典范意义,将上博简《孔子诗论》和帛书《五行》联系起来,对历史时期相关论述进行比较分析。研究认为,早期儒家和汉儒关于《关雎》主旨的评论看似颇有分歧,实际上则是内在一致的:“以色喻于礼”之论,是对《关雎》将生命意义上的男女恋情升华和规范为伦理意义上的夫妇之德的肯定;而汉儒对《关雎》具有“风天下而正夫妇”之政教意义的肯定,不仅与早期儒家夫妇伦理观念相一致,而且与早期儒家《诗》学观一脉相承;恰当理解《关雎》诗旨,才能有效解读其蕴涵的礼乐教化与美善之德意义。     

Variable selection and estimation for multivariate panel count data via the seamless‐${\it L}_{{\rm 0}}$ penalty

This paper considers regression analysis of multivariate panel count data with the focus on variable selection and estimation of significant covariate effects. For the problem, we adopt the penalized estimating equation approach with a focus on the use of the seamless‐$L_0$ penalty. The proposed approach selects variables and estimates regression coefficients simultaneously and the asymptotic properties of the resulting estimates are established. The procedure can be easily carried out with the Newton–Raphson algorithm and is evaluated by simulation studies. Also it is applied to a motivating data set arising from a skin cancer study. The Canadian Journal of Statistics 41: 368–385; 2013 © 2013 Statistical Society of Canada     

Consistency of non parametric estimators of the area under the ROC curve

ABSTRACT

The area under the receiver operating characteristic (ROC) curve is a popular summary index that measures the accuracy of a continuous-scale diagnostic test to measure its accuracy. Under certain conditions on estimators of distribution functions, we prove a theorem on strong consistency of the non parametric “plugin” estimators of the area under the ROC curve. Based on this theorem, we construct some new “plugin” consistent estimators. The performance of the non parametric estimators considered is illustrated numerically and the estimators are compared in terms of bias, variance, and mean square error.     

Asymptotic relative efficiencies of r-estimators of location

A table of asymptotic relative efficiencies of a large variety of R-estimators is given and some of its uses discussed.The family of distributions used includes both those common in the robustness literature and those that correspondent to various rank tests for location.     

Distribution-free tests in randomized blocks

Classes of distribution-free tests are proposed for testing homogeneity against order restricted as well as unrestricted alternatives in randomized block designs with multiple observations per cell. Allowing for different interblock scoring schemes, these tests are constructed based on the method of within block rankings. Asymptotic distributions (cell sizes tending to infinity) of these tests are derived under the assumption of homogeneity. The Pitman asymptotic relative efficiencies relative to the least squares statistics are studied. It is shown that when blocks are governed by different distributions, adaptive choice of scores within each block results in asymptotically more efficient tests as compared with methods that ignore such information. Monte Carlo simulations of selected designs indicate that the method of within block rankings is more power robust with respect to differing block distributions.     

Use of Dummy Variables in Testing for Equality between Sets of Coefficients in Two Linear Regressions: A Note

Elementary inductive proofs are presented for the binomial approximation to the hypergeometric distribution, the density of an order statistic, and the distribution of when X ₁, ···, X _n are a sample from N (μ, 1).