On a class exhibiting trend change in average failure rate

Abstract

Weak convergence and moment convergence issues are investigated for the New Better than Average Failure Rate (NBAFR) family (introduced by Loh (1984 Loh, W. Y. 1984. A new generalization of the class of NBU distributions. IEEE Transactions on Reliability R-33 :97–113[Crossref], [Web of Science ®] , [Google Scholar])). We explore the validity of these results in the context of a more general ageing class that we introduce. We prove some new properties of this class and derive its interrelationships with other non-monotonic ageing families. Reliability and moment bounds are obtained and an interesting characterization of exponentiality is proved. Special cases of our results lead to new theorems for the NBAFR class. Finally weak convergence and related issues are established for this class.     

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.     

Exploring internalized ableism using critical race theory

This paper is an attempt to theorize about the way disabled people live with ableism, in particular internalized ableism. Typically literature within disability studies has concentrated on the practices and production of disablism, examining attitudes and barriers that contribute to the subordination of people with disabilities in society. My exploration occurs through examining the insights of critical race theory (CRT) and the contribution that CRT can further make to thinking through the processes, formation and consequences of ableism. A focal concern is the possible ways that the concept of internalized racism, its deployment in CRT and application to critical disability studies. The paper is interested in working through points of difference between the way internalized racism/ableism are mediated in the processes of subjectification and identifying points of convergence that can benefit dialogue across varied sites of scholarship. The author concludes that the study of ableism instead of disability/disablement may produce different research questions and sites of study.     

No city for migrant women: construction workers’ experiences of exclusion from urban governance and discrimination in labour markets in Ahmedabad

ABSTRACT

Ahmedabad, Gujarat, is one of the fastest growing cities in the world, and a reflection of India’s story of exclusionary economic growth. This article focuses on research carried out with women construction workers with the help of a migrant construction workers’ union in Ahmedabad. It describes the method used by women members of the union to make visible their experiences as migrants in the city – with men, local authorities, and employers – to highlight the additional burdens that they bear due to a negligent state and industry, advocate for better working and living conditions, and raise consciousness of gender inequalities that need to be integrated into the demands of the workers’ union.     

Estimation of Disaggregate-Level Poverty Incidence in Odisha Under Area-Level Hierarchical Bayes Small Area Model

Sustainable development goal-1 of the United Nations is to end poverty in all its forms everywhere. The estimates of poverty related parameters obtained from large scale sample survey are often available at large domain level (e.g. state level). But, poverty rates are not uniformly distributed across the regions. The regional variations are masked in such large domain level estimates. However, for monitoring the progress of poverty alleviation programmes aimed at reduction of poverty often require micro or disaggregate level estimates. The traditional survey estimation approaches are not suitable for generating the reliable estimates at this level because of sample size problem. It is the main endeavor of Small Area Estimation (SAE) approach to produce micro level statistics with acceptable precision without incurring any extra cost and utilizing existing survey data. In this study, the Hierarchical Bayes approach of SAE has been applied to generate reliable and representative district level poverty incidence for the State of Odisha in India using the Household Consumer Expenditure Survey 2011–2012 data of National Sample Survey Office and linked with Population Census 2011. The results show the precise performance of model based estimates generated by SAE method to a greater extent than the direct survey estimates. A poverty map has also been produced to observe the spatial inequality in poverty distribution.

     

Adolescent Marriage in Nepal: A Subregional Level Analysis

This study aims to identify the distribution of marriages among adolescents, aged 10 to 19 years, throughout Nepal. Data were obtained from the 2011 Nepal Demographic and Health Survey. Chi-square tests and logistic regression analyses were used to identify the main determinants of adolescent marriages (AMs). Of a total 11,967 weighted samples, 9.3% of adolescents (95% CI, 8–10%) were found to have been married; a significantly higher percentage of these were female. The variability of AMs varied among the regions of Nepal, with a higher percentage occurring in the Western Mountain, Mid-Western Hill, and Central Terai areas. AMs were also more likely to have occurred among poorer households. The findings show a substantial differences of AMs in different geographic areas and demographic levels in Nepal.     

Fungal community composition analysis of 24 different urban parks in Shanghai,China

Urban Ecosystems - Urban parks are an important constituent of cities; they harbour microbial diversity which plays a key role in soil ecosystem functioning. The bacterial diversity of many urban...     

Searching effective rotation patterns for population median using exponential type estimators in two-occasion rotation sampling

ABSTRACT

The present article is an attempt to explore the rotation patterns using exponential ratio type estimators for the estimation of finite population median at current occasion in two occasion rotation sampling. Properties of the proposed estimators including the optimum replacement strategies have been elaborated. The proposed estimators have been compared with sample median estimator when there is no matching from previous occasion as well with the ratio type estimator proposed by Singh et al. (2007 Singh, H.P., Tailor, R., Singh, S., Kim, Jong-Min. (2007). Quintile estimation in successive sampling. J. Kor. Stat. Soc. 36(4):543–556. [Google Scholar]) for second quantile. The behaviors of the proposed estimators are justified by empirical interpretations and validated by means of simulation study with the help of some natural populations.     

A composite class of estimators using scrambled response mechanism for sensitive population mean in successive sampling

This paper considers the problem of estimation of population mean of a sensitive characteristics using non-sensitive auxiliary variable at current move in two move successive sampling. The proposed estimator is studied under five different scrambled response models. Various estimators have been elaborated to be the member of the proposed class of estimators. The properties of the proposed estimators have been analysed. Many estimators belonging to the proposed class have been explored under five scrambled response models. In order to identify the scrambled model effect, the proposed composite class of estimators is compared to the direct methods. Respondents privacy protection have also been elaborated under different models. Theoretical results are supplemented with numerical demonstrations using real data. Simulation has been carried out to show the applicability of proposed estimators and hence suitable recommendations are forwarded.