西部地区人力资源培训市场现状与发展 --以甘肃省为例

西部企业在"学习型社会"和"知识经济"的双重背景中运行,应充分认识到人力资源市场化的重要性.通过对甘肃省人力资源培训市场的实证研究,试图找到西部地区人力资源市场化的规律性问题,探求人力资源培训市场的发展方向,为西部企业人力资源再造提供"终身学习"的平台.     

身体语言的革命性实践——法国女性主义批评的语言维度探寻

法国女性主义批评提出了女性写作、女人腔、符号学等理论,强调语言与女性身体、本能、非理性之间的联系,突出语言在性别主体建构中的重要作用,意图通过身体写作的革命性语言实践,颠覆父权制历史文化传统,赋予女性身体以性别政治的功能,对语言的认识开始由工具论逐渐转向本体论,完成了女性主义批评的语言学转向,在语言理论的深化及批评的学理性方面取得了巨大的成绩。     

若斯坎·德·普雷的音乐绘词法初探

若斯坎·德·普雷作为文艺复兴时期最重要的作曲家之一,其在作品中将音乐绘词法这一作曲方式进一步发展,对后人的音乐,乃至巴洛克时代的音乐产生了重要的影响。试从多角度考察音乐绘词法,并对文艺复兴中期颇具影响力的法国作曲家若斯坎·德·普雷的声乐作品进行探究,从音乐中描绘性的旋律特点来看其词曲关系的融合,突出其比同时代作曲家所展现出的对于歌词情感内涵创作的特点与贡献。     

越战和谈中的中国因素新探

1972年是中美缓和与越战和谈的关键一年,二者同时进行并相互影响。越南问题最终和平解决在很大程度上是由于中美缓和后客观上给越南带来的孤立感和压力,而非通常所认为的是中国为了与美国缓和向越方施压的结果。     

Goodness-of-Fit Tests for the Skew-Normal Distribution When the Parameters Are Estimated from the Data

In this article, tests are developed which can be used to investigate the goodness-of-fit of the skew-normal distribution in the context most relevant to the data analyst, namely that in which the parameter values are unknown and are estimated from the data. We consider five test statistics chosen from the broad Cramér–von Mises and Kolmogorov–Smirnov families, based on measures of disparity between the distribution function of a fitted skew-normal population and the empirical distribution function. The sampling distributions of the proposed test statistics are approximated using Monte Carlo techniques and summarized in easy to use tabular form. We also present results obtained from simulation studies designed to explore the true size of the tests and their power against various asymmetric alternative distributions.     

Confidence Bounds and Hypothesis Tests for Normal Distribution Coefficients of Variation

For normally distributed populations, we obtain confidence bounds on a ratio of two coefficients of variation, provide a test for the equality of k coefficients of variation, and provide confidence bounds on a coefficient of variation shared by k populations.     

An exact Kolmogorov–Smirnov test for the Poisson distribution with unknown mean

We develop an exact Kolmogorov–Smirnov goodness-of-fit test for the Poisson distribution with an unknown mean. This test is conditional, with the test statistic being the maximum absolute difference between the empirical distribution function and its conditional expectation given the sample total. Exact critical values are obtained using a new algorithm. We explore properties of the test, and we illustrate it with three examples. The new test seems to be the first exact Poisson goodness-of-fit test for which critical values are available without simulation or exhaustive enumeration.