住宅户型设计探讨

近年来我国住宅建设日趋兴盛，住宅成为居民新的消费热点，住宅设计进入新的发展阶段，本文比较与研究已建住宅的优点与不足，探讨住宅户型设计在现阶段的重要性，设计原则及应关注的问题。     

财政幻觉假说的实证检验

财政幻觉假说是公共选择理论下解释政府规模增长的理论之一。依据财政幻觉假说的经验方程，将“财政幻觉”分解为“赤字幻觉”与“预期幻觉”，以中国1978～2004年的年度数据，采用邹氏转折点检验、协整分析和误差修正模型，对“财政幻觉”与政府规模增长的关系进行实证检验。结果表明，“财政幻觉”是中国政府规模增长的原因之一，其中“赤字幻觉”的存在未得到显著证实，但“预期幻觉”对政府规模有正的显著影响。     

Sample selection in radiocarbon dating

Archaeologists working on the island of O'ahu, Hawai'i, use radiocarbon dating of samples of organic matter found trapped in fish-pond sediments to help them to learn about the chronology of the construction and use of the aquicultural systems created by the Polynesians. At one particular site, Loko Kuwili, 25 organic samples were obtained and funds were available to date an initial nine. However, on calibration to the calendar scale, the radiocarbon determinations provided date estimates that had very large variances. As a result, major issues of chronology remained unresolved and the archaeologists were faced with the prospect of another expensive programme of radiocarbon dating. This paper presents results of research that tackles the problems associated with selecting samples from those which are still available. Building on considerable recent research that utilizes Markov chain Monte Carlo methods to aid archaeologists in their radiocarbon calibration and interpretation, we adopt the standard Bayesian framework of risk functions, which allows us to assess the optimal samples to be sent for dating. Although rather computer intensive, our algorithms are simple to implement within the Bayesian radiocarbon framework that is already in place and produce results that are capable of direct interpretation by the archaeologists. By dating just three more samples from Loko Kuwili the expected variance on the date of greatest interest could be substantially reduced.     

金融网络的模型和优化

金融网络就是经济系统中资金循环,文献[1-8]研究了金融网络的模型。本文则在文献[1-8]金融网络模型的基础之上,建立了资产、负债、适度规模和价格的改进模型。这一改进模型考虑了所有经济部门的金融工具的风险、金融网络的经济资源约束、资产和负债的会计帐户约束等问题。模型的改进适用于应用。文章采用了进化规划算法,并依此进行仿真实验。     

论领导权结构、企业避税与会计信息可靠性的关系

以我国2013—2015年沪深两市A股类上市公司为样本,运用相关性分析和回归分析,以消除应计利润影响后的会计—税收差异作为衡量企业避税指标,用盈余激进度衡量会计信息可靠性,分析企业避税程度与会计信息可靠性的关系,并进行了稳健性检验。结果表明,企业避税程度对会计信息可靠性起负面作用。在此基础上,进一步梳理了领导权结构、企业避税与会计信息可靠性的关系,研究发现,相比两职合一的公司,企业避税程度对会计信息可靠性的负面作用主要体现在两职分离的公司。这对于深入研究企业避税与会计信息可靠性的关系具有一定的借鉴意义,可为完善公司治理机制、提高会计信息可靠性提供一定的思路借鉴和决策参考。     

The complexity of diversity and importance for equitable philanthropy

The current U.S. climate of racial and social injustice has prompted a renewed call for diverse and equitable ways to rethink community philanthropy. Community foundations are vehicles for community philanthropy which offer vast benefits for social improvement and community development. The board of directors ensures these organizations fulfill their mission, making decisions on funding priorities and holding the organization functionally and fiscally responsible. Drawing on constructs of diversity and representative bureaucracy and a case study of Florida community foundations, we suggest that diversity is understood in different ways and the presence of diverse board members may be linked to advancing the interests of diverse communities and in achieving outcomes that assist in the needs of certain social groups. Increased understanding of diversity can improve foundation and philanthropic effectiveness and bring broader social change by promoting equity and social justice among community‐based philanthropic organizations.     

The effect of number of siblings on adult mortality: Evidence from Swedish registers for cohorts born between 1938 and 1972

Demographic research has paid much attention to the impact of childhood conditions on adult mortality. We focus on one of the key aspects of early life conditions, sibling group size, and examine the causal effect of growing up in a large family on mortality. While previous studies have focused on low- or middle-income countries, we examine whether growing up in a large family is a disadvantage in Sweden, a context where most parents have adequate resources, which are complemented by a generous welfare state. We used Swedish register data and frailty models, examining all-cause and cause-specific mortality between the ages of 40 and 74 for the 1938–72 cohorts, and also a quasi-experimental approach that exploited multiple births as a source of exogenous variation in the number of siblings. Overall our results do not indicate that growing up in a large family has a detrimental effect on longevity in Sweden.     

Sample size estimation for comparing rates of change in K-group repeated count outcomes

Sample size estimation for comparing the rates of change in two-arm repeated measurements has been investigated by many investigators. In contrast, the literature has paid relatively less attention to sample size estimation for studies with multi-arm repeated measurements where the design and data analysis can be more complex than two-arm trials. For continuous outcomes, Jung and Ahn (2004 Jung, S., Ahn, C. (2004). K-sample test and sample size calculation for comparing slopes in data with repeated measurements. Biometrical J. 46(5):554–564.[Crossref], [Web of Science ®] , [Google Scholar]) and Zhang and Ahn (2013 Zhang, S., Ahn, C. (2013). Sample size calculation for comparing time-averaged responses in k-group repeated measurement studies. Comput. Stat. Data Anal. 58:283–291.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) have presented sample size formulas to compare the rates of change and time-averaged responses in multi-arm trials, using the generalized estimating equation (GEE) approach. To our knowledge, there has been no corresponding development for multi-arm trials with count outcomes. We present a sample size formula for comparing the rates of change in multi-arm repeated count outcomes using the GEE approach that accommodates various correlation structures, missing data patterns, and unbalanced designs. We conduct simulation studies to assess the performance of the proposed sample size formula under a wide range of designing configurations. Simulation results suggest that empirical type I error and power are maintained close to their nominal levels. The proposed method is illustrated using an epileptic clinical trial example.     

A new stratified three-stage unrelated randomized response model for estimating a rare sensitive attribute based on the Poisson distribution

This article suggests an efficient method of estimating a rare sensitive attribute which is assumed following Poisson distribution by using three-stage unrelated randomized response model instead of the Land et al. model (2011 Land, M., S. Singh, and S. A. Sedory. 2011. Estimation of a rare sensitive attribute using poisson distribution. Statistics 46 (3):351–60. doi:10.1080/02331888.2010.524300.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]) when the population consists of some different sized clusters and clusters selected by probability proportional to size(:pps) sampling. A rare sensitive parameter is estimated by using pps sampling and equal probability two-stage sampling when the parameter of a rare unrelated attribute is assumed to be known and unknown.

We extend this method to the case of stratified population by applying stratified pps sampling and stratified equal probability two-stage sampling. An empirical study is carried out to show the efficiency of the two proposed methods when the parameter of a rare unrelated attribute is assumed to be known and unknown.     

Monitoring the coefficient of variation using a variable sample size and sampling interval control chart

This article proposes a CV chart by using the variable sample size and sampling interval (VSSI) feature to improve the performance of the basic CV chart, for detecting small and moderate shifts in the CV. The proposed VSSI CV chart is designed by allowing the sample size and the sampling interval to vary. The VSSI CV chart's statistical performance is measured by using the average time to signal (ATS) and expected average time to signal (EATS) criteria and is compared with that of existing CV charts. The Markov chain approach is employed in the design of the chart.