A stratified unrelated question randomized response model using Neyman allocation

This paper applies stratified random sampling using Neyman allocation to Mangat et al. (1992 Mangat, N.S., Singh, R., Singh, S. (1992). An improved unrelated question randomized response strategy. Cal. Stat. Assoc. Bull. 42:277–281.[Crossref] , [Google Scholar]) unrelated question randomized response (RR) strategy for both completely truthful reporting and less than completely truthful reporting. It is shown that, for the prior information given, our new model is more efficient in terms of variance (in the case of completely truthful reporting) and mean square error (in terms of less than completely truthful reporting) than Kim and Elam's (2007 Kim, J.M., Elam, M.E. (2007). A stratified unrelated question randomized response model. Stat. Papers 48:215–233.[Crossref], [Web of Science ®] , [Google Scholar]) model. Numerical illustrations and graphs are also given in support of the present study.     

Bayesian expectile regression with asymmetric normal distribution

In this paper, we adopt the Bayesian approach to expectile regression employing a likelihood function that is based on an asymmetric normal distribution. We demonstrate that improper uniform priors for the unknown model parameters yield a proper joint posterior. Three simulated data sets were generated to evaluate the proposed method which show that Bayesian expectile regression performs well and has different characteristics comparing with Bayesian quantile regression. We also apply this approach into two real data analysis.     

A fresh approach for intercession of nonresponse in multivariate longitudinal designs

The occurrence of nonresponse is very much plebeian in surveys, which troubles the analysis, and hence, an inappropriate inference is left out. To counterbalance the sour effects of the incompleteness, fresh imputation techniques have been proposed with the aid of multi-auxiliary variates for the estimation of population mean on successive waves. Properties of the proposed estimators have been elaborated, and they have been compared with the work of Priyanka et al. (2015). Detailed simulation study is carried out to substantiate the empirical and theoretical results. Several possible cases have been addressed in which nonresponse can occur.     

Three-group ROC predictive analysis for ordinal outcomes

Measuring the accuracy of diagnostic tests is crucial in many application areas including medicine, machine learning, and credit scoring. The receiver operating characteristic (ROC) surface is a useful tool to assess the ability of a diagnostic test to discriminate among three-ordered classes or groups. In this article, nonparametric predictive inference (NPI) for three-group ROC analysis for ordinal outcomes is presented. NPI is a frequentist statistical method that is explicitly aimed at using few modeling assumptions, enabled through the use of lower and upper probabilities to quantify uncertainty. This article also includes results on the volumes under the ROC surfaces and consideration of the choice of decision thresholds for the diagnosis. Two examples are provided to illustrate our method.     

Identification-robust moment-based tests for Markov switching in autoregressive models

ABSTRACT

This paper develops tests of the null hypothesis of linearity in the context of autoregressive models with Markov-switching means and variances. These tests are robust to the identification failures that plague conventional likelihood-based inference methods. The approach exploits the moments of normal mixtures implied by the regime-switching process and uses Monte Carlo test techniques to deal with the presence of an autoregressive component in the model specification. The proposed tests have very respectable power in comparison with the optimal tests for Markov-switching parameters of Carrasco et al. (2014 Carrasco, M., Hu, L., Ploberger, W. (2014). Optimal test for Markov switching parameters. Econometrica 82(2):765–784.[Crossref], [Web of Science ®] , [Google Scholar]), and they are also quite attractive owing to their computational simplicity. The new tests are illustrated with an empirical application to an autoregressive model of USA output growth.     

Competing Frameworks in Planning for the Aged in the Growth Corridors of Melbourne

The Ageing in the Growth Corridors Project was initiated as a partnership between the University of Melbourne and the Department of Health in the Northwest Metropolitan Region of Melbourne, Australia. It involved a research team working with six project officers appointed to stimulate development in relation to an aging population in the sprawling outer metropolitan growth corridors. This article identifies the key lessons learned in terms of project implementation relating to attitudinal and structural barriers to the development of an age-friendly environment in areas of rapid urban growth. The findings illustrate some of the dilemmas raised by competing program conceptions, a dynamic and changing federal/state policy context, and local resource and strategic management constraints. The partnership with the university, nevertheless, provided a point of stability and continuity for the project officers in implementing their mandate.     

建立中国特色的社区综合养老社会服务体系

支持老人就地养老是当前老年社会服务的一个核心实践。它不仅能够让老人在熟悉的社区环境里度过晚年,维系对身心健康具有重要意义的社会网络和社会支持,而且与机构照顾相比,能够显著降低社会成本。分析我国当前社区养老服务的有利条件和不利因素,总结梳理国际上的养老服务经验,提出在我国城市和农村建立社区综合养老社会服务体系的框架。这一框架试图将当前参与养老社会服务的多元主体纳入其中,包括社区养老服务、机构养老服务、居家养老服务、家庭(类似家庭或模拟家庭)养老、结伴(老年公寓)养老等方面。最后就政府的宏观战略规划、完善社会服务支持体系和构建良好的养老环境提出了政策建议,以期对社区综合养老服务体系的建立和完善提供必要支持。