Exact permutation inference for two sample repeated measures data

Experiments in which very few units are measured many times sometimes present particular difficulties. Interest often centers on simple location shifts between two treatment groups, but appropriate modeling of the error distribution can be challenging. For example, normality may be difficult to verify, or a single transformation stabilizing variance or improving normality for all units and all measurements may not exist. We propose an analysis of two sample repeated measures data based on the permutation distribution of units. This provides a distribution free alternative to standard analyses. The analysis includes testing, estimation and confidence intervals. By assuming a certain structure in the location shift model, the dimension of the problem is reduced by analyzing linear combinations of the marginal statistics. Recently proposed algorithms for computation of two sample permutation distributions, require only a few seconds for experiments having as many as 100 units and any number of repeated measures. The test has high asymptotic efficiency and good power with respect to tests based on the normal distribution. Since the computational burden is minimal, approximation of the permutation distribution is unnecessary.     

Distribution of linear combination of exponential variates

The exact distribution of a linear combination of n independent negative exponential random variables, when the coefficients of the linear combination are distinct and positive quantities, is well-known. This paper extends the above result to the general case, namely when the coefficients are arbitrary real numbers, positive or negative, distinct or coincident.     

Planning for the 1950 Censuses of Population and Agriculture

The change from the z of “Student's” 1908 paper to the t of present day statistical theory and practice is traced and documented. It is shown that the change was brought about by the extension of “Student's” approach, by R.A. Fisher, to a broader class of problems, in response to a direct appeal from “Student” for a solution to one of these problems.     

On computer generation of gamma random variables by rejection and composition procedures 2

The paper presents various algorithms for generating gamma random variables, by combining rejection and composition procedures. Two efficient algorithms are given for the case when the parameter of the gamma distribution is 0<v<l. For the case vl, several algorithms are given but they (except one), work reliably only for small values of v. Results of some computer tests together with FORTRAN subroutines are also presented.     

A class of Shrunken estimators for normal mean

This paper presents a class of estimators for the mean of a normal population and determines the conditions on characterizing scalars under which the class of estimators uniformly dominates over the conventional sample mean according to the mean-square-error criterion.     

“按劳分配”评议

马克思关于未来共产主义社会初级阶段实行按劳分配原则的设想有其特定的前提和内涵;至今没有哪个国家具备这种前提条件;我国至今实行的按劳分配实际上不是也不可能是马克思设想的那种原则;应当从我国正在进行的社会主义市场经济改革和社会经济发展的实际水平出发来确定正确的分配原则。     

要素所有者的谈判力与企业权益分配格局

在全面解释“谈判力”涵义的基础上,着重论证了谈判力与企业权益分配格局的关系,并据此提出了改进我国企业权益分配状况的建议。     

马克思对"人的价值"之类命题的批判

马克思认为"人的价值"之类的命题在本质上是资本主义经济的思想反映.因而,它决非是关于人的本性、尊严和幸福的永恒观念,而仅仅是资产阶级的特殊要求、愿望和幻想的反映.它同共产主义的世界观是根本对立的.在共产主义社会中,新的命题"每一个人的自由发展"将取代陈腐的命题"人的价值".     

“分配不公”的社会学解读

当前在我国普遍存在的“分配不公”现象 ,有使社会向恶性运行和畸形发展方向退化的趋势。针对“分配不公”产生的原因 ,必须从政治理念、制度重建、政策调整、文化重建等多方面入手 ,解决“分配不公”问题 ,实现社会良性运行和协调发展     

算子的型与指标选择

本文定义了弱*(p,q)型算子,并且通过对强(p,q)型算子指标选择结论的推广,得到了弱(p,q)型算子以及弱*(p,q)型算子指标选择的结论。