Assessing convergence diagnostic tests for Bayesian Cox regression

The Markov chain Monte Carlo (MCMC) method generates samples from the posterior distribution and uses these samples to approximate expectations of quantities of interest. For the process, researchers have to decide whether the Markov chain has reached the desired posterior distribution. Using convergence diagnostic tests are very important to decide whether the Markov chain has reached the target distribution. Our interest in this study was to compare the performances of convergence diagnostic tests for all parameters of Bayesian Cox regression model with different number of iterations by using a simulation and a real lung cancer dataset.     

Saddlepoint p-values for group of linear rank tests

Many nonparametric tests in one sample problem, matched pairs, and competingrisks under censoring have the same underlying permutation distribution. This article proposes a saddlepoint approximation to the exact p-values of these tests instead of the asymptotic approximations. The performance of the saddlepoint approximation is assessed by using simulation studies that show the superiority of the saddlepoint methods over the asymptotic approximations in several settings. The use of the saddlepoint to approximate the p-values of class of two sample tests under complete randomized design is also discussed.     

高师院校不同学制毕业生就业竞争力比较研究

毕业生就业竞争力是衡量人才培养质量的一个重要指标,加强对不同学制毕业生就业竞争力研究,有利于提升办学质量。对不同学制毕业生的就业竞争力分析可从初次就业率、就业现状满意度、毕业半年后的月收入、工作与专业相关度、职业吻合度和半年内的离职率等方面进行比较。利用非参数检验法对某高师院校毕业生就业状况调查报告中的有关数据对比分析,发现五年制专科毕业生的就业竞争力与三年制专科毕业生无显著性差别。结果表明:五年制专科毕业生具有明确的专业定位、专业技能较强等优势,可适当扩大五年制专科招生规模。     

金融发展与区域经济增长研究——基于重庆市的实证分析

金融对经济的促进作用往往会受到其他因素的影响,而使得结果大打折扣,其主要原因是因为目前资金的流动受到很多制度和人为因素的影响,导致资源不能及时从低效率部门流入高效率部门。本研究从现有理论出发,通过收集重庆市1986—2010年有关经济增长和金融发展的数据,利用计量经济学软件,通过误差修正模型,得出二者之间的协整关系。在此基础之上,结合重庆现状分析回归结果并提出有关政策建议。     

国债收益率协整关系研究

通过对中国国债收益率与央票利率、基准利率和CPI的协整关系研究,揭示出我国国债市场的收益率走势与各宏观经济变量之间的互动关系。研究结果表明:在不施加任何约束的条件下,我国国债市场的风险长期来看是可以规避的,而国债与央票之间具有互动关系,二者的利率风险具有一定的互补性。     

长江流域的消费函数:基于非稳定面板数据的分析

运用面板单位根与面板协整方法研究长江流域的消费函数。基于10省(市)1981-2003年的宏观消费与收入的面板数据,研究发现消费与收入存在显著的面板协整关系,边际消费倾向也非常稳定,稳定在0.7-0.85之间。为此,应采取鼓励消费的政策,从而促进经济长期增长。     

Economic design of acceptance sampling plans for truncated life test using Frechet distribution

In this article designing of acceptance sampling plans for the truncated life test is proposed using economic approach by assuming that the lifetime of a product follows Frechet distribution based on median. The optimal sampling plans to meet the consumer’s confidence level with minimum total cost are designed. Efficiency of the proposed plan is also analyzed.     

Bayes Inference in Constant Partially Accelerated Life Tests for the Generalized Exponential Distribution with Progressive Censoring

In this paper, the problem of constant partially accelerated life tests when the lifetime follows the generalized exponential distribution is considered. Based on progressive type-II censoring scheme, the maximum likelihood and Bayes methods of estimation are used for estimating the distribution parameters and acceleration factor. A Monte Carlo simulation study is carried out to examine the performance of the obtained estimates.     

Extension of the pool-adjacent-violators algorithm

The pool-adjacent-violators algorithm (PAVA) is an efficient algorithm which converges in a finite number of steps. However, it has been applicable so far only in isotonic regression with the simple order. This report extends its applicability to other quadratic programming problems, including certain one-sided multivariate testing problems and concave regression problems.     

Testing for heteroscedasticity occuring at unknown points

This paper considers procedures for the detection of heteroscedasticity when it occurs at unknown points. First the number of points is assumed known apriori and then this assumption is relaxed so that both the position and the number of possible aberrant observations is unknown. Monte Carlo evidence is provided on the performance of both tests and they are found to perform reasonably.