试论统计学科体系的构造与完善

试论统计学科体系的构造与完善张宏性ＡＢＳＴＲＡＣＴＴｈｅｐａｐｅｒｄｉｓｃｕｓｅｓｔｈｅｂａｓｉｃｃｏｎｎｏｔａｔｉｏｎｓａｎｄｄｅｖｅｌｏｐｍｅｎｔｃｈａｒａｃｔｅｒｉｓｔｉｃｓｏｆｃｕｒｅｎｔｓｔａｔｉｓｔｉｃａｌｓｃｉｅｎｃｅｓ,ｔｈｅｐｒｉｎ...     

论统计指标的构造过程

论统计指标的构造过程苏为华ＡＢＳＴＲＡＣＴＴｈｅｃｏｎｓｔｒｕｃｔｉｏｎｏｆｓｔａｔｉｓｔｉｃａｌｉｎｄｉｃａｔｏｒｓｉｓａｐｒｏｃｅｓｓｏｆｃｏｍｐｌｉｃａｔｅｄｌｏｇｉｃｔｈｉｎｄ－ｉｎｇｔｈａｔｃａｎｂｅｄｉｖｉｄｅｄｉｎｔｏａｓｅｒｉｅｓｏｆ...     

当代经济计量学中的协整理论

当代经济计量学中的协整理论赵文奇ＡＢＳＴＲＡＣＴＴｈｅｐａｐｅｒｍａｋｅｓｄｉｓｃｕｓｓｉｏｎｏｆｔｈｅｃｏｎｃｅｐｔｓ,ｃｈａｒａｃｔｅｒｓａｎｄｅｃｏｎｏｍｉｃｍｅａｎｉｎｇｓｏｆｔｈｅｃｏ－ｉｎｔｅｇｒａｔｉｏｎｔｈｅｏｒｙｉｎｍｏｄｅｒｎｅｃ...     

我国农产品波动分析

我国农产品波动分析罗建国ＡＢＳＴＲＡＣＴＴｈｉｓｐａｐｅｒｓｙｓｔｅｍａｔｉｃａｌｙｓｔａｔｅｓｔｈｅｆｅａｔｕｒｅａｎｄｔｈｅｍｅｃｈａｎｉｓｍｏｆｆｌｕｃｔｕａｔｉｏｎｏｆｍａｉｎａｇｒｉｃｕｌｔｕｒａｌｐｒｏｄｕｃｔｓ,ｆｏｒｅｃａｓｔｓｉｔｓ...     

养老保险统筹费率的统计研究

养老保险统筹费率的统计研究林毓铭ＡＢＳＴＲＡＣＴＦｒｏｍｔｈｅｓｔａｎｄｐｏｉｎｔｓｏｆｓｔａｔｉｓｔｉｃｓ,ｔｈｅｐａｐｅｒｄｏｅｓｒｅｓｅａｒｃｈｏｎｔｈｅａｓｓｏｃｉａｔｅｄｉｎｄｉｃａｔｏｒｔｈａｔａｆｅｃｔｓｔｈｅｏｖｅｒａｌｃｏｓｔｒａｔ...     

对资金流量表的改进

对资金流量表的改进孙静娟ＡＢＳＴＲＡＣＴＢａｓｅｄｏｎｔｈｅｓｙｓｔｅｍａｔｉｃｄｉｓｃｕｓｓｉｏｎｏｎｔｈｅｃｏｍｐｌｉｃａｔｅｄａｎｄｏｒｄｅｒｅｄｑｕａｎｔａｔｉｖｅｒｅｌａｔｉｏｎｓｉｎｔｈｅｉｎｃｏｍｅｄｉｓｔｒｉｂｕｔｉｏｎａｎｄｕｔｉｌ...     

国有企业改革：扎牢篱笆打稳桩

国有企业改革：扎牢篱笆打稳桩李游群ＡＢＳＴＲＡＣＴＩｔ＇ｓｍｏｒｅｄｉｆｃｕｌｔｔｏｒｕｎＳｔａｔｅ－ｏｗｎｅｄｅｎｔｅｒｐｒｉｓｅｓｗｈｉｃｈｅｓｔａｂｌｉｓｈｅｄａｃｃｏｒｄｉｎｇｔｏｓｐｅｃｉａｌｉｄｅａｂｅｃａｕｓｅｏｆｉｔｓｅｌｆ＇ｓｄｅｆ...     

期货报酬时间序列统计特征

期货报酬时间序列统计特性徐剑刚ＡＢＳＴＲＡＣＴＴｈｅｐａｐｅｒｈａｓｓｔｕｄｉｅｄｔｈｅｓｔａｔｉｓｔｉｃａｌｃｈａｒａｃｔｅｒｉｓｔｉｃｓｏｆｒｅｗａｒｄｔｉｍｅｓｅｒｉｅｓ，ａｎｄｆｏｕｎｄａｎｏｒｍａｌｉｔｙａｎｄｄｅｐｅｎｄｅｎｃｙｏｆｆｕｔ...     

突变统计学刍议

突变统计学刍议彭国富史造月谢英欣ＡＢＳＴＲＡＣＴＩｔｉｓｏｆｖｅｒｙｉｍｐｏｒｔａｎｔｓｉｇｎｉｆｉｃａｎｃｅｔｏｓｅｔｕｐＭｕｔａｉｏｎＳｔａｔｉｓｔｉｃｓｆｏｒｗｉｄｅｎｉｎｇｔｈｅｒｅｓｅａｒｃｈａｒｅａｓｏｆＳｔａｔｉｓｔｉｃｓ，ｅｎｒｉｃｈ...     

建立全国房地产开发业发展综合指数的初步研究

建立全国房地产开发业发展综合指数的初步研究贾海ＡＢＳＴＲＡＣＴＴｈｅａｕｔｈｏｒｔｒｉｅｓｔｏｃｏｎｓｔｒｕｃｔａｓｅｔｏｆｃｏｍｐｏｓｉｔｅｉｎｄｅｘｏｆｒｅａｌｅｓｔａｔｅｄｅｖｅｌｏｐｍｅｎｔｗｉｔｈＣｈｉｎｅｓｅｃｈａｒａｃｔｅｒｉｓｔｉｃｓ...     

L'analyse de la variation saisonniére quand l'amplitude et la taille sont faibles

Studies of seasonal variation are valuable in biomedical research because they can help to discover the etiology of diseases that are not well understood. Generally in these studies the data have certain characteristics that require specialized tests and methods for the statistical analysis. But the effectiveness of these specialized tests is variable, especially according to the seasonal variation, the dimension of the amplitude in the seasonal variation, and the sample size. The purpose of this paper is to present a test and methods appropriate for the analysis and modeling of data whose seasonal variation has small amplitude and whose sample size is small. This test can detect different kinds of seasonal variation. The results from a simulation study show that the test performs very well. The application of these methods is illustrated by two examples.     

On the estimation of parameters,survival functions,and hazard rates based on fuzzy life time data

Life time data analysis is regarded as one of the significant out-shoots of statistics. Classical statistical techniques reckon life time observations as precise numbers and solely cover variation among the observations. In fact, there are two types of uncertainty in data: variation among the observations and the fuzziness. To this effect, the analysis techniques, which do not consider fuzziness and are only based on precise life time observations, use incomplete information; hence lead to pseudo results. This study aimed at generalizing parameters estimation, survival functions, and hazard rates for fuzzy life time data.     

Catanova for multidimensional contingency tables: Nominal-scale response

This paper extends an analysis of variance for categorical data (CATANOVA) procedure to multidimensional contingency tables involving several factors and a response variable measured on a nominal scale. Using an appropriate measure of total variation for multinomial data, partial and multiple association measures are developed as R² quantities which parallel the analogous statistics in multiple linear regression for quantitative data. In addition, test statistics are derived in terms of these R² criteria. Finally, this CATANOVA approach is illustrated within the context of 2 three-way contingency table from a multicenter clinicaltrial.     

基于区块链的产品链互联网统计研究

文章探讨利用区块链技术,建立产品链互联网统计体系。对比分析中心式互联网统计和基于区块链的互联网统计两者异同,并认为基于七个层级区块链的产品链互联网统计体系,不仅能够实现统计信息共享、统计工作共建共治、统计直接价值化,而且能够从统计交互深度学习中促进参与主体各自决策和行为的优化。最后以消费类无人机链为例,认为采用基于角色分级分权联盟链方式,可以实现微观层面脱敏统计原始记录信息与中观宏观层面透明共享统计汇总信息的一体化,可以同时满足公共统计分析和个性化统计分析的智能化需要。     

统计概念解析

本文从分析统计的本质属性出发,根据统计广泛性特点,归纳广义统计和狭义统计的概念,建立“统计概念总系”,力求能够包罗统计万象,体现统计全貌,使统计这一事物有一个总纲纪,为人们全面认识统计提供了一个新的视角。文中重点对政府统计纵向构成进行了分析和解读,解开人们在传统认识上的挽扣儿,这是正确理解政府统计构成的关键认识点,由此方能建立起统计概念体系。     

An evaluation of common methods for dichotomization of continuous variables to discriminate disease status

Dichotomization of continuous variables to discriminate a dichotomous outcome is often useful in statistical applications. If a true threshold for a continuous variable exists, the challenge is identifying it. This paper examines common methods for dichotomization to identify which ones recover a true threshold. We provide mathematical and numeric proofs demonstrating that maximizing the odds ratio, Youden’s statistic, Gini Index, chi-square statistic, relative risk and kappa statistic all theoretically recover a true threshold. A simulation study evaluating the ability of these statistics to recover a threshold when sampling from a population indicates that maximizing the chi-square statistic and Gini Index have the smallest bias and variability when the probability of being larger than the threshold is small while maximizing Kappa or Youden’s statistics is best when this probability is larger. Maximizing odds ratio is the most variable and biased of the methods.     

Score tests for independence in semiparametric competing risks models

A popular model for competing risks postulates the existence of a latent unobserved failure time for each risk. Assuming that these underlying failure times are independent is attractive since it allows standard statistical tools for right-censored lifetime data to be used in the analysis. This paper proposes simple independence score tests for the validity of this assumption when the individual risks are modeled using semiparametric proportional hazards regressions. It assumes that covariates are available, making the model identifiable. The score tests are derived for alternatives that specify that copulas are responsible for a possible dependency between the competing risks. The test statistics are constructed by adding to the partial likelihoods for the individual risks an explanatory variable for the dependency between the risks. A variance estimator is derived by writing the score function and the Fisher information matrix for the marginal models as stochastic integrals. Pitman efficiencies are used to compare test statistics. A simulation study and a numerical example illustrate the methodology proposed in this paper.     

A Weighted Least Squares Approach to Levene's Test of Homogeneity of Variance

In 1960 Levene suggested a potentially robust test of homogeneity of variance based on an ordinary least squares analysis of variance of the absolute values of mean-based residuals. Levene's test has since been shown to have inflated levels of significance when based on the F-distribution, and tests a hypothesis other than homogeneity of variance when treatments are unequally replicated, but the incorrect formulation is now standard output in several statistical packages. This paper develops a weighted least squares analysis of variance of the absolute values of both mean-based and median-based residuals. It shows how to adjust the residuals so that tests using the F -statistic focus on homogeneity of variance for both balanced and unbalanced designs. It shows how to modify the F -statistics currently produced by statistical packages so that the distribution of the resultant test statistic is closer to an F-distribution than is currently the case. The weighted least squares approach also produces component mean squares that are unbiased irrespective of which variable is used in Levene's test. To complete this aspect of the investigation the paper derives exact second-order moments of the component sums of squares used in the calculation of the mean-based test statistic. It shows that, for large samples, both ordinary and weighted least squares test statistics are equivalent; however they are over-dispersed compared to an F variable.     

Comparison of Statistical Methods for Pretest–Posttest Designs in Terms of Type I Error Probability and Statistical Power

The pretest–posttest design is widely used to investigate the effect of an experimental treatment in biomedical research. The treatment effect may be assessed using analysis of variance (ANOVA) or analysis of covariance (ANCOVA). The normality assumption for parametric ANOVA and ANCOVA may be violated due to outliers and skewness of data. Nonparametric methods, robust statistics, and data transformation may be used to address the nonnormality issue. However, there is no simultaneous comparison for the four statistical approaches in terms of empirical type I error probability and statistical power. We studied 13 ANOVA and ANCOVA models based on parametric approach, rank and normal score-based nonparametric approach, Huber M-estimation, and Box–Cox transformation using normal data with and without outliers and lognormal data. We found that ANCOVA models preserve the nominal significance level better and are more powerful than their ANOVA counterparts when the dependent variable and covariate are correlated. Huber M-estimation is the most liberal method. Nonparametric ANCOVA, especially ANCOVA based on normal score transformation, preserves the nominal significance level, has good statistical power, and is robust for data distribution.     

IV估计框架下模型设定检验问题的讨论

 IV估计框架下各种统计量的良好性质依赖于相应的模型设定,如果这些模型设定未能得到数据的支持,其统计推断结论将是不可靠的。如判定计量经济模型是否存在内生性的Hausman检验,实证研究中同一问题的检验结果可能大相径庭。如何通过合理的模型设定检验程序来获得模型参数科学、可靠的估计结果和检验结论呢？本文讨论了工具变量估计框架下的各种模型设定检验问题,明确了各个检验统计量的适用条件及其逻辑联系,给出了工具变量估计框架下模型设定检验的一般步骤。