方差分析与虚拟变量回归模型的比较研究

方差分析与回归分析分属不同的统计方法,从问题背景到处理手段都有所不同。文章针对单因素方差分析和双因素方差分析,分别找到对应形式的虚拟变量回归模型,通过严格的数学推导,发现两类分析方法的检验原假设等价,检验统计量也等价,并论证了方差分析与回归分析具有内在一致性。     

影响大学生消费的因素分析

本文通过具体的调查数据,运用方差分析理论,探讨了性别、年级、专业类别、家庭类型、恋爱状态、消费观念等六个定性因素对大学生消费影响的显著性。结果表明性别、年级、家庭类型、恋爱状态等因素是影响大学生消费的重要因素。     

数据的正态性检验方法及其统计软件实现

数据的正态性是统计学中点估计,假设检验等理论的基础,在t检验,F检验,卡方检验中都需要检验变量的分布是否为正态;另外方差分析,回归分析等统计分析中也都首先验证待分析的数据是否为正态.数据的正态性检验是进行大部分统计分析的第一步.文章介绍了最常用的验证数据正态分布的方法,同时对它们在统计分析软件R中的实现进行介绍.     

中国金融资源空间配置非均衡的实证分析

文章从要素禀赋因素、空间经济学因素和市场化因素等方面构建14个指标体系,采用1997～2007年中国31个省区市的数据,运用主成分分析方法实证分析中国金融资源空间配置的非均衡性。     

嵌入人力资本变量的固定价格非均衡模型

文章以非均衡理论为基础,构建了嵌入人力资本变量的固定价格非均衡模型,分析了引入该变量后非均衡市场的变化情况以及人力资本在不同非均衡区域对经济水平的影响维度,最后提出了相应的经济政策。     

函数方差检验方法的应用

空气污染问题引起了社会广泛关注,影响空气质量评价的因素有很多,研究这些因素对指标的影响是否都显著尤为重要.文章将函数型方差检验的方法(ANOVA)应用到空气质量的数据中,首先采集到北京市区内分布在不同地方的35个监测站的每天每小时的实时更新数据,对北京市划分的五个行政区域的空气污染成分进行函数方差分析的k样本均值假设检验,进而分析北京市各行政区域空气污染的各成分之间的差异.     

方差分析在MTS特征选择中的应用

本文采用方差分析方法对MTS中特征选择问题进行研究,给出了方差分析的计算步骤。在综合两水平信噪比之差与方差分析的显著性结果的基础上,本文得到了有效特征选择的四种类型。此外,本文还给出了一个应用实例,以供参考。     

基于模糊证据理论的和谐社会的测评

文章综合运用模糊证据理论,给出一种评估社会和谐程度的方法.该方法主要运用模糊评价技术给出和谐社会评价中影响因素的评估等级;然后运用证据理论的层次递归算法对不同层次影响因素的评估等级进行合成,得出社会和谐程度的总体评估值;最后将该方法应用到重庆社会和谐评价的实证研究中,检验了该方法的可行性、有效性和实用性.     

联合分析与方差分析相似性的理论比较与实证

文章从理论上探讨联合分析和方差分析的具体方法,并指出两者的联系;利用实际数据分别用两种方法对属性相对重要性及水平效应进行分析;最后得出联合分析和方差分析效力相差无几的结论.     

中国马铃薯种植的时空布局演化研究

文章基于中国21个区域的相关数据,利用区位基尼系数、产业集中率、区位熵指数和空间自相关指数,从时间和空间两个维度系统刻画了1993-2015年中国马铃薯种植的时空布局演化与分异性特征,并揭示其影响因素.研究表明:中国马铃薯种植的时空布局的地理集聚度呈现稳步增强的趋势;具有明显的地域梯度特征;产区间的专业化程度差异明显;具有显著的正向空间自相关性特征;呈现明显的非均衡空间分布特征.影响中国马铃薯种植的时空布局的形成机制日益复杂化和多元化,主要有自然资源禀赋、技术进步、非农产业水平、政府政策与根植性.     

Estimating the underlying change in unemployment in the UK

By setting up a suitable time series model in state space form, the latest estimate of the underlying current change in a series may be computed by the Kalman filter. This may be done even if the observations are only available in a time-aggregated form subject to survey sampling error. A related series, possibly observed more frequently, may be used to improve the estimate of change further. The paper applies these techniques to the important problem of estimating the underlying monthly change in unemployment in the UK measured according to the definition of the International Labour Organisation by the Labour Force Survey. The fitted models suggest a reduction in root-mean-squared error of around 10% over a simple estimate based on differences if a univariate model is used and a further reduction of 50% if information on claimant counts is taken into account. With seasonally unadjusted data, the bivariate model offers a gain of roughly 40% over the use of annual differences. For both adjusted and unadjusted data, there is a further gain of around 10% if the next month's figure on claimant counts is used. The method preferred is based on a bivariate model with unadjusted data. If the next month's claimant count is known, the root-mean-squared error for the estimate of change is just over 10000.     

On the potential in the estimation of linear functions in regression

New aspects of potential in Cook's Influence measure for linear combinations are explored. It is shown that this potential can be considered as a case influence measure in the scatter of estimated combinations. The potential is related to precise estimation directions and multicollinearity concepts; It Is also used as a basis for selection of new cases.     

Estimating the parameter in the Pauling equation

Four procedures are suggested for estimating the parameter ‘a’ in the Pauling equation:

e-X/a+e ? Y/a = 1.

The procedures are: using the mean of individual solutions, least squares with Y the subject of the equation, least squares with X the subject of the equation and maximum likelihood using a statistical model. In order to compare these estimates, we use Efron's bootstrap technique (1979), since distributional results are not available. This example also illustrates the role of the bootstrap in statistical inference.     

Estimation of the parameter in the problem of the nile

Estimation of the parameter in the problem of the Nile is treated as a decision problem with squared error loss, It is shown that the minimum risk scale equivariant estimator dominates the incomplete sufficient unbiased estimators considered by Iwase and Seto, Sharper bounds for the equivariant estimator are derived which may be used to obtain the values of the same from the sample with sufficient accuracy.     

我国统计学高等教育与学科建设若干问题研究

统计学是 2 0世纪人类取得突出成就的学科之一 ,可是目前我国统计学专业高等教育和学科建设面对的现实却很严峻 :随着企业纷纷裁减合并统计从业人员 ,撤消专职统计岗位以及政府统计部门机构精简、编制压缩 ,传统的社会经济统计在市场选择中处于尴尬地位 ;高校统计学专业生源锐减 ,毕业生就业困难 ;社会经济统计学专业发展步履维艰 ,令人困惑 ;在国家颁布实施的学科分类体系中 ,统计学的归属问题分歧较大 ,引发许多争论。如国家技术监督局制定的ＧＢ Ｔ1 4745- 96《学科分类与代码》中 ,统计学作为与经济学并列的一级学科 ,归入哲学与人文科…     

Estimation of the degree of dependence in the temperatures in the northern hemisphere using semi-parametric techniques

We are concerned in this article with the estimation of the degree of dependence between the observations of the monthly temperatures in the northern hemisphere from 1854 to 1989 by means of using fractionally integrated semi-parametric techniques. We use several estimation procedures proposed by P. M. Robinson in a number of papers, and the results indicate that the order of integration of the series is around 0.37, implying that the time series is stationary but with long memory behaviour. Separating the data in two subsamples (1854-1921 and 1922-89), the results show that there has been an increase in the degree of dependence across time by about 0.05-0.10, the order of integration oscillating around 0.3 (0.35) for the time period 1854-1921, and around 0.35 (0.40) for the period 1922-89.     

构建新时代现代化统计调查体系的问题研究

通过总结中国现行统计调查体系存在的问题,对统计调查制度与方法等相关环节问题进行研究,提出建立一套与新时代中国特色社会主义相适应的现代化统计调查体系。这套体系将传统的统计调查方法与新式电子化记录的大数据有效融合使用,注重大数据与抽样调查数据及其推断估计方法的结合,在不显著增加整体调查经费的前提下,更加准确、及时、全面和连续地产生各类宏观时间序列调查数据和微观纵向调查数据,推进中国政府统计管理体制的深化改革与发展。