浅谈假设检验中原假设和备择假设的建立

建立原假设和备择假设是进行假设检验的第一步.如何设立假设检验中的原假设和备择假设,是学生和初学者普遍困扰的问题.而根据奈曼—皮尔逊准则,原假设和备择假设的地位不对等.本文对如何建立假设检验中的原假设和备择假设进行了讨论,给出了几个建立原假设和备择假设的原则.     

一类单边假设检验问题原假设和备择假设的判别分析

在单边假设检验问题中,原假设和备择假设的地位一般是不对等的,将两者互换就有可能得到矛盾推断.文章既给出了现有的解析方法,也从描述性统计和推断性统计相结合,以及控制第Ⅱ类错误发生概率的角度给出了进一步的思考,合理解析了单边假设检验出现矛盾推断的难题.     

假设检验中的原假设选取问题

针对假设检验中"对一个具体问题,在相同的显著性水平α下进行假设检验,如果交换原假设和备择假设,得到的结论可能完全相反"这一问题进行分析,并给出根据实际问题的要求如何正确建立原假设和备择假设的方法.     

有界区间假设检验问题的研究

提出原假设为一个有界区间时的假设检验问题,给出了求这种假设检验的接受域、拒绝域、犯两类错误概率的方法,举例说明了这种假设检验在实际中的广泛应用.     

双侧参数假设检验中原假设的选择

假设检验的原假设的设立原则为保护原假设.这一原则一般只适用于单侧假设检验问题.而对于双侧参数假设检验,通常只把参数相等的假设设为原假设,并不需要遵守上面的原则.这一现象在教科书中的解释并不是很充分,本文在正态分布总体的前提下,从功效函数和小概率事件原理等角度给出这一问题的较为详细的统计解释.     

模糊Bayes检验

本文对原假设和备择假设中参数是模糊子集的假设检验问题，引入了模糊Ｂａｙｅｓ检验的概念，对简单模糊假设，给出了求模糊Ｂａｙｅｓ检验的方法，讨论了它的性质，并针对一类特殊的隶属函数，得出了检验的具体公式。最后，通过几个数值实例，表明了模糊Ｂａｙｅｓ检验的优良性。     

基于可信度的统计检验决策研究

针对单侧假设检验中出现的自相矛盾的决策问题,在简单分析单侧假设检验两类错误具体形式的基础上,给出了检验决策可信度的概念及其计算公式,并提出了用决策可信度来判断单侧检验原假设及其结论是否有效的方法.实例表明,方法是可行的,有效的.     

线性模型中M检验原假设分布的随机加权逼近

在线性模型中M-方法可以用于线性假设检验, 其中M检验、Wald检验和Rao的计分型检验是最常用的检验准则. 但是在计算这些检验的临界值时都涉及到未知参数的估计. 在本文中我们利用随机加权的方法来逼近这些检验的原假设分布. 结果表明在原假设和局部对立假设之下随机加权统计量的渐近分布与原检验统计量在原假设之下的渐近分布相同. 因此我们不需要对冗余参数进行估计,利用随机加权的方法就可以得到这些检验的临界值. 而且在局部对立假设之下可以实现对功效的计算. 当取不同的误差分布和不同的随机权时, 我们对本文的方法进行了蒙特卡洛模拟. 结果表明用随机加权方法来逼近原假设分布是非常精确的.     

多元模糊数据的假设检验方法

模糊假设检验对处理模糊概念进行决策分析是很重要的。本文给出了一个模糊多元数据的假设检验方法。因为数据是模糊的,不能在一个清晰的置信水平上接受或拒绝原假设,故本文提出了一个与结果相关联的可信度的概念。为了能应用清晰数据的假设检验,本文引入了模糊数的δ-截概念。     

假设检验中的三个问题及其思考

讨论了假设检验的教学和实践中可能会遇到的三个问题.分析得到三个结论:理论上原假设与备择假设可以任意设定,但实践中常常按照某种规则来设定;假设检验的两个常用的决策准则中,p值准则更精确,为决策者接受原假设提供了一个"风险"的度量;假设检验理论在处理利用样本推断总体的问题中是普遍有效的.     

Nonsolvable Groups Satisfying the One-prime Hypothesis

Recall that a finite group G satisfies the one-prime hypothesis if the greatest common divisor for any pair of distinct degrees in cd(G) is either 1 or a prime. In this paper, we classify the nonsolvable groups that satisfy the one-prime hypothesis. As a consequence of our classification, we show that if G is a nonsolvable group satisfying the one-prime hypothesis, then |cd(G)| ≤ 8, and hence, if G is any group satisfying the one-prime hypothesis, then |cd(G)| ≤ 9. Presented by Don Passman.     

模糊集的基数与连续统假设

本文在模糊映射的基础上给出了模糊集基数的定义，它把普通集的基数作为特款；不但得到有关基数的大部分结论，而且有其自身的特殊性质；特别，对于连续统假设这一世界难题可能有新的启示．     

假设检验中p值的灵活运用

给出假设检验中p值的定义以及双边检验p值与单边检验p值的关系,介绍了利用p值将三种检验同时进行的方法及意义,最后给出应用实例.     

状态转移下的利率预期与误差学习假说

采用线性回归和状态转移模型讨论利率预期的"误差学习假说"和不同期限利率预测误差之间的关联性,并考虑带有风险溢价时预测误差的作用.分析发现,1年期限的"误差学习假说"在银行间国债市场中是成立的,不同期限的利率预期对预测误差的反应呈现一定的独立性,不同的状态中预测误差和风险溢价对利率预期的影响是不同的,考虑风险溢价有助于提升对利率预期变动的解释.     

论假设检验中的两类错误

蔡越江．论假设检验中的两类错误．本文从假设检验的两个例子谈起,指出备择假设也是影响接区域的。接着论述了假设检验中的两类错误之间的关系。最后讨论如何同时控制两类错误。     

A Semiparametric Two-Sample Hypothesis Testing Problem for Random Graphs

Two-sample hypothesis testing for random graphs arises naturally in neuroscience, social networks, and machine learning. In this article, we consider a semiparametric problem of two-sample hypothesis testing for a class of latent position random graphs. We formulate a notion of consistency in this context and propose a valid test for the hypothesis that two finite-dimensional random dot product graphs on a common vertex set have the same generating latent positions or have generating latent positions that are scaled or diagonal transformations of one another. Our test statistic is a function of a spectral decomposition of the adjacency matrix for each graph and our test procedure is consistent across a broad range of alternatives. We apply our test procedure to real biological data: in a test-retest dataset of neural connectome graphs, we are able to distinguish between scans from different subjects; and in the C. elegans connectome, we are able to distinguish between chemical and electrical networks. The latter example is a concrete demonstration that our test can have power even for small-sample sizes. We conclude by discussing the relationship between our test procedure and generalized likelihood ratio tests. Supplementary materials for this article are available online.     

Curve Fitting, Differential Equations And The Riemann Hypothesis

It is known that the Riemann zeta function ζ (s) in the critical strip 0 < Re(s) < 1, may be represented as the Mellin transform of a certain function φ (x) which is related to one of the theta functions. The function φ (x) satisfies a well known functional equation, and guided by this property we deduce a family of approximating functions involving an arbitrary parameter α. The approximating function corresponding to the value of α = 2 gives rise to a particularly accurate numerical approximation to the function φ (x). Another approximation to φ (x), which is based upon the first one, is obtained by solving a certain differential equation. Yet another approximating function may be determined as a simple extension of the first. All three approximations, when used in conjunction with the Mellin transform expression for ζ (s) in the critical strip, give rise to an explicit expression from which it is clear that Re(s) = 1/2 is a necessary and sufficient condition for the vanishing of the imaginary part of the integral, the real part of which is non-zero. Accordingly, the analogy with the Riemann hypothesis is only partial, but nevertheless Re(s) = 1/2 emerges from the analysis in a fairly explicit manner. While it is generally known that the imaginary part of the Mellin transform must vanish along Re(s) = 1/2, the major contribution of this paper is the presentation of the actual calculation for three functions which approximate φ (x). The explicit nature of these calculation details may facilitate progress towards the corresponding calculation for the actual φ (x), which may be necessary in a resolution of the Riemann hypothesis.2000 Mathematics Subject Classification: Primary—11M06, 11M26