躺着思想,不如站起行动

在很久很久以前,有两个年轻人,一起去遥远的地方寻找幸福和快乐,一路上风餐露宿,历尽艰辛,在即将到达目的地时,遇到了一条风急浪高的大河.对于如何渡过这条河,两人有不同的意见:一个人建议砍伐附近的树造一条木船渡过河去,另一个人则认为这么高的浪,这么湍急的水流,这么宽的河面,无论造多大的船都不可能渡过这条河,与其自寻烦恼和死路,不如等这条河干了,再轻轻松松地走过去.     

形如“|x|+|y|=1”的画法及其扩展

人教版教材第二册(上)第八章第二节讲的是椭圆的简单几何性质,在对称性中有这样的描述,在曲线的方程中,如果以-y代y方程不变,那么当P(x,y)在曲线上时,它关于x轴的对称点P′(x,-y)也在曲线上,所以曲线关于x轴对称,同理如果以-x代x方程不变,那么曲线关于y轴对称,如果同时以-x代x,以     

中考数学探索题的归类及评析

近年来,数学探索题以多彩优美的格调,清新多姿的风彩,发散开放的题型,背景育人的功能,注重能力的考查,强化创新的意识,出现在全国各地的中考试卷上,并有逐年上升之势,促进了生动、活泼、主动的数学学习活动,真正起到了实施素质教育“指挥棒”的作用,本文旨对近年来中考数学探索题作些归类,并对具体实例进行评析.     

共同探究,享受数学

众所周知,数学很重要,这很大层面上是由高考指挥棒决定的,学生在沉重的数学作业负担下,大多是疲于应付,很少有人真正体验到数学内在的美,学会享受数学.笔者从事高中数学多年,做了一点有益的尝试,让学生从多种角度理解数学,师生平等,教师做好组织、引领工作,充分调动学生学习数学积极性,各抒己见,经常是一个平淡的问题,往往出现多种漂亮的解法,碰撞出思维的火花,师生乐在其中,一同享受数学带给我们的快乐.现举两个案例,供大家分享.     

抓住小条件 解决大问题

每一道习题都有着严密的逻辑性,已知条件不可能多余,也不可能短缺,在所有条件中,抓住其最有特征性的一个,联想展开,这是解题的一种途径．许多同学在解题时,往往不去认真推敲题目中给出的已知条件,对于一些细小的似乎是不起眼的说明,便不去深入探讨,弃之一旁,熟视无睹,这是一个极大的错误．很多时候,若能紧紧抓住这些小条件,便可从这里打开缺口,解决大问题．     

高盛,华尔街曾经的笑柄

第一次世界大战结束后,美国经济进入繁荣时期。伴随着经济的繁荣,美国的股市也不断攀升,一直持续着牛市行情。然而,好景不长,1929年,全球金融危机爆发,华尔街股市大崩盘,让高盛损失了92%的原始投资,公司的声誉一落千丈,濒临倒闭,沦为华尔街的笑柄、错误的代名词。     

用好轴对称性,巧解折叠型中考题

近几年来,矩形纸片的折叠问题频繁出现在全国各地的中考数学试题中,此类问题贴近同学的认知规律,能较好考查基础知识和综合运用数学知识解决问题的能力,因此,很受命题者的青睐.但是,由于矩形折叠型试题涉及知识面广,结构独特,解法灵活多样,同时融合了丰富的数学思想和方法,所以大多数同学都感到有一     

例谈数学中的一般化与特殊化

一般化与特殊化是人类认识事物的两个重要侧面,也是解题的两种基本策略,它们相辅相成,是辩证的统一.在多数场合,特殊问题简单、直观,容易认识,容易把握.但是,也有一些场合,特殊问题的个别特性可能会掩盖事物的本质属性,给解题带来困难,而直接求解相应的一般性问题,反而来得简便、明快、奇巧.     

是谁拉你走向平庸

一名长跑运动员参加一个5人小组的比赛,赛前教练对他说,据我了解,其他4人的实力不如你,于是,这名运动员轻松地跑了第一名随后教练又让他参加了一个10人小组比赛,教练把平时其他人的成绩拿给他看,他发现别人的成绩并不如自己,他又轻松跑了第一名然后,这名运动员又参加了一个20人小组的比赛,教练说,你只要战胜其中的一个人,你就能取得胜利,结果,比赛中他紧跟着教练说的那个运动员,并在最后冲刺时,又取得了第一名.     

如何激发思维灵感

我们在教学实践中感到,思维灵感往往能产生优美的方法,使问题获得巧妙的解决.这种瞬息间萌发的灵感,使得学习充满乐趣,促使学习信心倍增,但是,如何激发思维灵感,并逐渐养成学生敏而好学的习惯,却没有引起广大教者的足够重视,本文拟从例题教学的角度,谈谈激发学生思维灵感的做法和体会,期望大家都来做积极实践的有心人.     

The Hill estimators under power normalization

By using the link between the affine and the power norming, eight Hill estimators under power normalization for the tail index (the non-zero extreme value index) are suggested. Moreover, more compact and adaptive four Hill estimators under power normalization are derived based on the generalized Pareto distributions under power normalization. Two classes of harmonic t-Hill estimators under power normalization are also suggested. A comprehensive simulation study using the R-package shows that all the suggested estimators under power normalization work well, but in all cases the Hill estimators under power normalization based on Pareto distributions under power normalization are better. The two models under linear and power normalization for extreme value analysis are applied with comparison on a real data set of two pollutants, Sulphur Dioxide and Particulate Matter.     

Log-logistic parameters estimation using moving extremes ranked set sampling design

In statistical parameter estimation problems, how well the parameters are estimated largely depends on the sampling design used. In the current paper, a modification of ranked set sampling(RSS) called moving extremes RSS(MERSS) is considered for the estimation of the scale and shape parameters for the log-logistic distribution. Several traditional estimators and ad hoc estimators will be studied under MERSS. The estimators under MERSS are compared to the corresponding ones under SRS. The simulation results show that the estimators under MERSS are significantly more efficient than the ones under SRS.     

Minimax estimator of regression coefficient in normal distribution under balanced loss function

This article investigates linear minimax estimators of regression coefficient in a linear model with an assumption that the underlying distribution is a normal one with a nonnegative definite covariance matrix under a balanced loss function. Some linear minimax estimators of regression coefficient in the class of all estimators are obtained. The result shows that the linear minimax estimators are unique under some conditions.     

Sample rotation theory with missing data

This paper studies how the sample rotation method is applied to the case where item non-response occurs in surveys. The two cases where the response to the first occasion is complete or incomplete are considered. Using ratio imputation method, the estimators of the current population mean are proposed, which are valid under uniform response regardless of the model and under the ratio model regardless of the response mechanism. Under uniform response, the variances of the proposed estimators are derived. Interestingly, although their expressions are similar, the estimator for the case of incomplete response on the first occasion can have smaller variance than the one for the case of complete response on the first occasion under uniform response. The linearized jackknife variance estimators are also given. These variance estimators prove to be approximately design-unbiased under uniform response. It should be noted that similar property on variance estimators has not been discussed in literature.     

Bayesian inference using record values from Rayleigh model with application

In this article, based on a set of upper record values from a Rayleigh distribution, Bayesian and non-Bayesian approaches have been used to obtain the estimators of the parameter, and some lifetime parameters such as the reliability and hazard functions. Bayes estimators have been developed under symmetric (squared error) and asymmetric (LINEX and general entropy (GE)) loss functions. These estimators are derived using the informative and non-informative prior distributions for σ. We compare the performance of the presented Bayes estimators with known, non-Bayesian, estimators such as the maximum likelihood (ML) and the best linear unbiased (BLU) estimators. We show that Bayes estimators under the asymmetric loss functions are superior to both the ML and BLU estimators. The highest posterior density (HPD) intervals for the Rayleigh parameter and its reliability and hazard functions are presented. Also, Bayesian prediction intervals of the future record values are obtained and discussed. Finally, practical examples using real record values are given to illustrate the application of the results.     

IMPROVED ESTIMATES OF THE COVARIANCE MATRIX IN GENERAL LINEAR MIXED MODELS

In this article, the problem of estimating the covariance matrix in general linear mixed models is considered. Two new classes of estimators obtained by shrinking the eigenvalues towards the origin and the arithmetic mean, respectively, are proposed. It is shown that these new estimators dominate the unbiased estimator under the squared error loss function. Finally, some simulation results to compare the performance of the proposed estimators with that of the unbiased estimator are reported. The simulation results indicate that these new shrinkage estimators provide a substantial improvement in risk under most situations.     

All admissible linear estimators of a regression coefficient under a balanced loss function

Admissibility of linear estimators of a regression coefficient in linear models with and without the assumption that the underlying distribution is normal is discussed under a balanced loss function. In the non-normal case, a necessary and sufficient condition is given for linear estimators to be admissible in the space of homogeneous linear estimators. In the normal case, a sufficient condition is provided for restricted linear estimators to be admissible in the space of all estimators having finite risks under the balanced loss function. Furthermore, the sufficient condition is proved to be necessary in the normal case if additional conditions are assumed.     

非平衡随机效应模型中方差分量的经验Bayes估计

对非平衡单向分类随机效应模型中方差分量找到了其最小充分统计量,在加权平方损失下导出了其Bayes估计,利用多元密度及其偏导数的核估计方法构造了方差分量的经验Bayes(EB)估计,并导出了其收敛速度.文末用例子说明了符合定理条件的先验分布是存在的.     

多元线性模型中回归系数的线性可容许估计

基于Zellner的平衡损失的思想,本文提出了矩阵形式的平衡损失函数,并在该损失函数下讨论了多元回归系数线性估计的可容许性.给出了六种不同形式的可容许定义,证明了这六种容许性在齐次和非齐次线性估计类中是一致的,且得到了其共同的可容许估计的充要条件.     

随机效应模型中方差分量渐近最优的经验Bayes估计

本文在加权二次损失下导出了双向分类随机效应模型中方差分量的Bayes估计,并利用多元密度函数及其混合偏导数核估计的方法构造了方差分量的经验Bayes(EB)估计.在适当的条件下证明了EB估计的渐近最优性,给出了模型的特例和推广.最后,举出一个满足定理条件的例子.