从本质特征视角探索中跑与长跑项群的划分

通过对中跑与长跑本质特征的全面分析,认为：中跑应划分为体能主导类无氧耐力性项目,长跑应划分为体能主导类有氧耐力性项目.这种划分符合该项目的本质特征,也为教练在未来时青少年运动员的选才、训练内容的科学安排指明了方向,据此,可以提升中跑训练的科学化水平,改变我国中跑项目落后的现实.     

A Simple Derivation of Deletion Diagnostic Results for the General Linear Model with Correlated Errors

A general, simple and intuitive derivation is provided for diagnostics associated with the deletion of arbitrary subsets for the linear model with general covariance structure. These are seen to be most simply expressed, even for the well-studied case of independent and identically distributed data, in terms of a residual known variously as the conditional residual, the deletion prediction residual and the cross-validation residual. Particularly simple specializations arise when the subsets are of size 1 and of size 2, but the method is easy to apply for all subsets and to conditional deletions.     

EStimating mahalanobis's distance using bayesian analysis

In this paper we are concerned with the problem of estimating Mahalanobis's distance between two or more populations using Bayesian approach. We first consider the case of two independent univariate normal populations having a common variance. We derive the posterior distribution of the     

The variance and covariance of a generalized index of similarity especially for a generalizaition on an index of hellinger and bhattacharyya

Formulae are derived for approximating the variance or a general similarity measlire and the covariance between two similarity measures for multinomial populations.     

Approximation and information topologies

In this paper approximation properties of finite dimensional parametric models are described in terms of an information metric: the Hellinger distance. Under conditions on the parametric family given solely in terms of a comparison of the Hellinger distance with the parameter metric, optimal rates of convergence are described. It is also shown how to use these conditions on the parametric family to determine whether consistent estimation is possible. We give applications of the theorems to regular and non-regular parametric families, and to nonlinear regression.     

The Future is Now: Reducing Psychological Distance to Increase Public Engagement with Climate Change

Many people perceive climate change as psychologically distant—a set of uncertain events that might occur far in the future, impacting distant places and affecting people dissimilar to themselves. In this study, we employed construal level theory to investigate whether a climate change communication intervention could increase public engagement by reducing the psychological distance of climate change. Australian residents (N = 333) were randomly assigned to one of two treatment conditions: one framed to increase psychological distance to climate change (distal frame), and the other framed to reduce psychological distance (proximal frame). Participants then completed measures of psychological distance of climate change impacts, climate change concern, and intentions to engage in mitigation behavior. Principal components analysis indicated that psychological distance to climate change was best conceptualized as a multidimensional construct consisting of four components: geographic, temporal, social, and uncertainty. Path analysis revealed the effect of the treatment frame on climate change concern and intentions was fully mediated by psychological distance dimensions related to uncertainty and social distance. Our results suggest that climate communications framed to reduce psychological distance represent a promising strategy for increasing public engagement with climate change.     

李杨题材创作与接受的视角差异 ——以杜甫、白居易、陈鸿相关创作为例

在李杨题材的叙事中，由于特定帝妃关系、深宫禁苑的限制，一般采用观察叙事或全知叙事，不同视角的选择影响到作者对事件的判断、创作倾向及其对读者的影响。此外，相关者与旁观者的立场，时间距离的远和近，也显著影响到李杨题材创作与接受倾向。     

Reviews of Books and Teaching Materials

Statistics: A Bayesian Perspective; Donald A. Berry. Belmont, CA: Duxbury Press, 1996. x + 518 pp. $62.95. Reviewed by Paul J. Smith

Statistics: Theory and Methods (2nd ed.).; Donald A. Berry and Bernard W. Lindgren. Belmont, CA: Duxbury Press, 1996. xi + 702 pp. $76.95. Reviewed by Uwe Koehn

Statistics for Management.; B. J. Mandel and Robert E. Laessig. Baltimore, MD: Dangary Publishing, 1996. xii + 538 pp. $49.50 (H). Reviewed by Lynne B. Hare

Statistical Methods, Revised Edition.; R. J. Freund and W. J. Wilson. San Diego, CA: Academic Press, 1997. xxi + 684 pp. $52.50. Reviewed by Linda Barrett

Statistics from Scratch. An Introduction for Health Care Professionals.; David Bowers. New York: Wiley, 1996. 180 pp. $19.95 (P). Reviewed by David McCormick

Statistical Tests: An Introduction with MINITAB Commentary.; G. P. Beaumont and J. D. Knowles. London, England: Prentice Hall International (UK) Limited, 1996. ix + 285 pp. $38.00. Reviewed by Ralph F. Frankowski

Principles of Statistical Data Handling.; Fred Davidson. Newbury Park, CA: Sage, 1996. xii + 319 pp. $23.50. Reviewed by John F. Monahan

Reference Manual on Scientific Evidence.; Federal Judicial Center. Washington, DC: U.S. Government Printing Office, 1994. vii + 637 pp. $32.00. Reviewed by Joseph L. Gastwirth     

我国网络远程教育及其质量保证问题述评

网络远程教育是主要通过多媒体网络、以学习者为中心的非面授教育方式。它以其覆盖面广、交互性好、不受时空限制、共享教育资源、扩大教育规模等优势得到了迅速发展。然而，在规模迅速扩张的过程中，也出现了数量与质量不和谐的现象。为此，应围绕网络远程教育机构来构建质量保证体系，包括内部质量保证体系和外部质量保证体系。     

A new hybrid estimation method for the generalized pareto distribution

ABSTRACT

The generalized Pareto distribution (GPD) is important in the analysis of extreme values, especially in modeling exceedances over thresholds. Most of the existing methods for estimating the scale and shape parameters of the GPD suffer from theoretical and/or computational problems. A new hybrid estimation method is proposed in this article, which minimizes a goodness-of-fit measure and incorporates some useful likelihood information. Compared with the maximum likelihood method and other leading methods, our new hybrid estimation method retains high efficiency, reduces the estimation bias, and is computation friendly.