大学生口算能力的实验研究

为考察大学生的口算能力,我们随机选取30名大学生为被试进行口算的实验研究,主要结论如下:(1)大学生的口算速率在加、减、乘、除法之间存在差异,从快到慢依次为:除法,借位减法,不借位减法,不进位加法,进位加法,乘法;(2)口算的广度从大到小依次为:不进位的加法广度,进位加法广度,不借位减法广度,借位减法广度,除法广度,乘法广度;(3)大学生口算的速度和广度既无显著的专业差异,也无显著的性别差异.     

高等师范学生教师职业技能训练及培养模式新论

高等师范学生的教师职业技能训练,自国家1995年《教师资格条例》颁布以来,虽在全国有关高校一度出现好的势头,但很快被我国高校扩招的形势冲淡了,目前情况令人担忧。因此,在我国高等教育发展的新形势下,从宏观上构建高等师范学生教师职业技能培养模式应是当务之急。     

四元数射影n-空间HPn的最小CW-复形伦型与它的法线数量特征

利用Morse理论给出四元数射影n-空间HP^n的CW-复形伦型的另个证明，并给出它的最小性与法线的一个数量特征。     

关于改进高职学生数学学习困难的探讨和研究

从学生的认知角度出发,对高职学生数学学习困难的认知特点及元认知特点进行了探讨,并提出了改进的方法和建议。     

求解随机变量数字特征的两种有效方法

求解随机变量的数字特征是数理统计中的一个重要课题，本文利用泰勒级数和条件数学期望给出了正态分布数字特征的求解方法，并将所得结果做了适当的推广。     

Anomalies in the Absorption and Reflection of a High-Power Ultrashort Laser Pulse by a Plasma with a Solid-State Density

The patterns of absorption and reflection of an ultrashort laser pulse by a plasma with a solid-state density, which are realized in the mode of the normal skin effect, are studied. It is shown that a decrease in low-power pulse duration shorter than the period corresponding to the fundamental frequency of radiation leads to an increase in the absorption coefficient. If the pulse power is so high as to provide electron heating during a time shorter than the reciprocal fundamental frequency, nonlinear suppression of absorption takes place and the spectrum of the reflected radiation contains odd harmonics of the fundamental frequency.     

A class of multivariate skew-normal models

The existing model for multivariate skew normal data does not cohere with the joint distribution of a random sample from a univariate skew normal distribution. This incoherence causes awkward interpretation for data analysis in practice, especially in the development of the sampling distribution theory. In this paper, we propose a refined model that is coherent with the joint distribution of the univariate skew normal random sample, for multivariate skew normal data. The proposed model extends and strengthens the multivariate skew model described in Azzalini (1985,Scandinavian Journal of Statistics,12, 171–178). We present a stochastic representation for the newly proposed model, and discuss a bivariate setting, which confirms that the newly proposed model is more plausible than the one given by Azzalini and Dalla Valle (1996,Biometrika,83, 715–726).     

Tail probabilities of the limiting null distributions of the Anderson–Stephens statistics

For the purpose of testing the spherical uniformity based on i.i.d. directional data (unit vectors) z_i, i=1,…,n, Anderson and Stephens (Biometrika 59 (1972) 613–621) proposed testing procedures based on the statistics S_max=max_u S(u) and S_min=min_u S(u), where u is a unit vector and nS(u) is the sum of squares of u′z_i's. In this paper, we also consider another test statistic S_range=S_max−S_min. We provide formulas for the P-values of S_max, S_min, S_range by approximating tail probabilities of the limiting null distributions by means of the tube method, an integral-geometric approach for evaluating tail probability of the maximum of a Gaussian random field. Monte Carlo simulations for examining the accuracy of the approximation and for the power comparison of the statistics are given.     

Making Use of Incomplete Observations for Regression in Bivariate Normal Model

Two estimates of the regression coefficient in bivariate normal distribution are considered: the usual one based on a sample and a new one making use of additional observations of one of the variables. They are compared with respect to variance. The same is done for two regression lines. The conclusion is that the additional observations are worth using only when the sample is very small.     

Stein's idea and minimax admissible estimation of a multivariate normal mean

We consider estimation of a multivariate normal mean vector under sum of squared error loss.We propose a new class of minimax admissible estimator which are generalized Bayes with respect to a prior distribution which is a mixture of a point prior at the origin and a continuous hierarchical type prior. We also study conditions under which these generalized Bayes minimax estimators improve on the James–Stein estimator and on the positive-part James–Stein estimator.