古典管理中的人本管理思想

古典管理一直被认为是以物为本的管理。从古典管理的主要代表人物泰罗及其追随者的思想中发掘其中的人本管理思想 ,并分析比较他们的人本思想和当代人本思想的差异     

费耶阿本德眼中的经验事实及其启示

费耶阿本德在他的《反对方法》一书中,从多种角度论证了他的多元主义方法论,对科学哲学中的非理性思想和相对主义思想作了进一步的发展。其中,在他的反归纳原则中,他论证的一个重要角度就是对经验事实的再考察,从而得出了理论多元化的思想。     

A Unified Approach to the Approximation of Multivariate Densities

Approximation of a density by another density is considered in the case of different dimensionalities of the distributions. The results have been derived by inverting expansions of characteristic functions with the help of matrix techniques. The approximations obtained are all functions of cumulant differences and derivatives of the approximating density. The multivariate Edgeworth expansion follows from the results as a special case. Furthermore, the density functions of the trace and eigenvalues of the sample covariance matrix are approximated by the multivariate normal density and a numerical example is given     

1909年北京学界公宴伯希和事件补考——兼论王国维与早期敦煌学

1909年北京学界于六国饭店公宴伯希和是早期敦煌学史上的一桩标志性事件,学者们对此多有考订。根据新公布的《江瀚日记》影印本,可确认公宴时间为1909年10月4日,另外此次公宴的参会人员有18人,包括王国维,此日记为考察王国维与早期敦煌学之间的学术因缘提供了珍贵史料。此次公宴原本具有双重意图,既有对外联络西方学者、推动敦煌文献刊布的目的,也有对内促成学部、京师大学堂的主事官员同意购买、保存劫余敦煌写卷的用意。     

Problems with Maximum Likelihood Estimation and the 3 Parameter Gamma Distribution

The three parameters involved are scale a , shape 𝜌 , and location s . Maximum likelihood estimators are (\hata, \hat\rho, \hats) . Using recent work on the second order variances, skewness, and kurtosis we establish the facts, that if the location parameter s is to be estimated, then the asymptotic variances only exist if 𝜌 >2, asymptotic skewness only exists if 𝜌 >3, and 2nd order variances and third order fourth central moments only exist if 𝜌 >4. The result of these limitations is that in general very large sample sizes may be needed to avoid inference problems. We also include new continued fractions for the asymptotic covariances of the maximum likelihood estimators considered.     

A general approximation to quantiles

For many continuous distributions, a closed-form expression for their quantiles does not exist. Numerical approximations for their quantiles are developed on a distribution-by-distribution basis. This work develops a general approximation for quantiles using the Taylor expansion. Our method only requires that the distribution has a continuous probability density function and its derivatives can be derived to a certain order (usually 3 or 4). We demonstrate our unified approach by approximating the quantiles of the normal, exponential, and chi-square distributions. The approximation works well for these distributions.     

解析鲍尔·恩格尔在《爱荷华圣诞节》中的创作手法

鲍尔·恩格尔是美国当代著名作家,在散文《爱荷华圣诞节》中,作者从孩子的视野出发,讲述儿时一次普通的圣诞节经历。作者灵活运用排比修辞手法,使文章结构紧凑,衔接自然。作者还多次从视觉、听觉和嗅觉角度,形象地刻画了农家圣诞节宴会,细微之处见真情。同时,作者以孩子的口吻讲述圣诞节的所见所闻,通俗易懂,简洁明了。而宗教故事的引用,则使文章富有浓厚的宗教传奇色彩。这些创作技巧的使用,体现了作家独特的创作手法。     

浪漫派诗歌关乎图征,还是象征——华兹华斯与柯尔律治的诗学思想比较

试图剖析华兹华斯与柯尔律治诗学理念格格不入的原因,提出浪漫派诗歌内部在图征和象征上的巨大差别,以及考察这两种古老的艺术手段对浪漫派诗歌在内容和形式上的创新和贡献。     

A semiparametric approach for modelling multivariate nonlinear time series

In this article, a semiparametric time‐varying nonlinear vector autoregressive (NVAR) model is proposed to model nonlinear vector time series data. We consider a combination of parametric and nonparametric estimation approaches to estimate the NVAR function for both independent and dependent errors. We use the multivariate Taylor series expansion of the link function up to the second order which has a parametric framework as a representation of the nonlinear vector regression function. After the unknown parameters are estimated by the maximum likelihood estimation procedure, the obtained NVAR function is adjusted by a nonparametric diagonal matrix, where the proposed adjusted matrix is estimated by the nonparametric kernel estimator. The asymptotic consistency properties of the proposed estimators are established. Simulation studies are conducted to evaluate the performance of the proposed semiparametric method. A real data example on short‐run interest rates and long‐run interest rates of United States Treasury securities is analyzed to demonstrate the application of the proposed approach. The Canadian Journal of Statistics 47: 668–687; 2019 © 2019 Statistical Society of Canada