Estimation of average mortality under censoring and truncation

In demography mortality is usually reported through averages over time intervals. If average mortality is estimated from censored or truncated data, then direct methods of estimation may create biases that depend on the censoring or truncation distribution. Such discretization errors may be avoided by estimating survival curves first in continuous time, and then discretizing the estimators. We illustrate the different methods on data of the form obtained from family reconstitution.     

Multinomial Probability Estimation by Wavelet Thresholding

In this article, we introduce a wavelet threshold estimator to estimate multinomial probabilities. The advantages of the estimator are its adaptability to the roughness and sparseness of the data. The asymptotic behavior of the estimator is investigated through an often-used criteria: the mean sum of squared error (MSSE). We show that the MSSE of the estimator achieves the optimal rate of convergence. Its performance on finite samples is examined through simulation studies which show favorable results for the new estimator over the commonly used kernel estimator.     

“人均预期寿命提高1岁”的实证研究

温家宝总理在政府工作报告中首次提出十二五时期"人均预期寿命提高1岁"的目标。本文在生命表数据基础上,通过计算平均预期寿命贡献率并进行相关分析与回归分析后得出:我国目前平均预期寿命虽然已高于绝大多数发展中国家,但其绝对增速正逐渐放慢。而降低60～90岁年龄段老年人口死亡率、提高居民消费水平、缩小家庭规模、迁移有条件的离退休老人到低海拔地区养老是实现人均预期寿命提高1岁目标的有效路径。     

Bayesian estimation of log odds ratios over two-way contingency tables with intraclass correlated cells

In this article, a Bayesian approach is proposed for the estimation of log odds ratios and intraclass correlations over a two-way contingency table, including intraclass correlated cells. Required likelihood functions of log odds ratios are obtained, and determination of prior structures is discussed. Hypothesis testing for log odds ratios and intraclass correlations by using the posterior simulations is outlined. Because the proposed approach includes no asymptotic theory, it is useful for the estimation and hypothesis testing of log odds ratios in the presence of certain intraclass correlation patterns. A family health status and limitations data set is analyzed by using the proposed approach in order to figure out the impact of intraclass correlations on the estimates and hypothesis tests of log odds ratios. Although intraclass correlations are small in the data set, we obtain that even small intraclass correlations can significantly affect the estimates and test results, and our approach is useful for the estimation and testing of log odds ratios in the presence of intraclass correlations.     

Power-Divergence Test Statistics for Testing Linear by Linear Association

Power-divergence test statistics have been considered to test linear by linear association for two-way contingency tables. These test statistics have been compared based on designed simulation study and asymptotic results for 2 × 2, 2 × 3, and 3 × 3 tables. According to the results, there are test statistics with better properties than the well-known likelihood ratio test statistic for small and moderate samples.     

Comparison of dependent two-way contingency tables

Comparison of two-way contingency tables using measures of association is considered. Multiple comparison procedures for dependent tables are proposed, enabling us to compare tables that are faces from larger multl-dimensional tables. An example

is given to Illustrate the analysis of two 2 × 2-tables formed

from a 2⁴-table.     

“一带一路”背景下中国与美国金融生产性服务业产业关联问题研究

为了比较研究中美两国金融服务业的发展差异,理清中国在加入世界贸易组织（WTO）后金融服务业的演进趋势,探究中国金融服务业与其他国民产业部门的关联关系,通过对比分析中美两国金融服务业的中间投入率以及产业关联系数,在当前中国处于新常态下的经济结构转型时期下,尝试从比较结果中得出如何深层次地深化金融改革、如何进一步研究金融生产性服务业与实体经济关联关系并探索其如何更好地服务于实体经济的经验。鉴于金融业的发展对于促进和稳定国民经济发展的作用,采用WIOD数据库中中美两国2007～2014年的9个行业部门投入产出数据,对两国金融服务业以及整体服务业的中间投入率、产业关联系数进行横向和纵向的比较研究。研究表明:中国金融服务业近年来发展迅速,但是我国服务业的整体发展水平还不及美国;美国金融生产性服务业的产业关联系数均大于中国,反映了中国金融生产性服务业与世界发达国家的差距和不足。随着“一带一路”的深入实施,中国应推进深层次金融改革、加大服务业投入占比等,以让金融业更好服务实体经济。     

Fitting multiplicative models by robust alternating regressions

In this paper a robust approach for fitting multiplicative models is presented. Focus is on the factor analysis model, where we will estimate factor loadings and scores by a robust alternating regression algorithm. The approach is highly robust, and also works well when there are more variables than observations. The technique yields a robust biplot, depicting the interaction structure between individuals and variables. This biplot is not predetermined by outliers, which can be retrieved from the residual plot. Also provided is an accompanying robust R ²-plot to determine the appropriate number of factors. The approach is illustrated by real and artificial examples and compared with factor analysis based on robust covariance matrix estimators. The same estimation technique can fit models with both additive and multiplicative effects (FANOVA models) to two-way tables, thereby extending the median polish technique.     

自编REG文件管理Windows注册表

由于某些网站的不良代码修改用户注册表，致使用户浏览器不能正常运行，这里介绍了Windows注册表的结构，通过自编REG件，修改Windows注册表使浏览器正常运行。     

Statistical Inference in Context Specific Interaction Models for Contingency Tables

Abstract.  Context specific interaction models is a class of interaction models for contingency tables in which interaction terms are allowed to vanish in specific contexts given by the levels of sets of variables. Such restrictions can entail conditional independencies which only hold for some values of the conditioning variables and allows also for irrelevance of some variables in specific contexts. A Markov property is established and so is an iterative proportional scaling algorithm for maximum likelihood estimation. Decomposition of the estimation problem is treated and model selection is discussed.