A Bayesian way of monitoring the linear profiles using CUSUM control charts

In statistical process control applications, profiles functions are considered an efficient way of representing quality of products or processes. Classical and Bayesian thoughts are two chief sources of defining control charting structures for profiles monitoring. This Study introduces novel Bayesian CUSUM control structures for profiles monitoring. The comprehensive comparative study identifies that the proposed Bayesian CUSUM control charts under conjugate priors has better expected performance than competing methods. The implementation of Bayesian structures requires detailed information about process parameters which come up with considerable benefits. In addition, simulative example and case study further justified the superiority of proposed techniques.     

Cultural change and attitude change: An assessment of postrevolutionary marriage and family attitudes in Iran

This report is aimed at investigating beliefs and intentions of Iranian adolescents regarding marriage and family building approximately four years after the Islamic Revolution, which brought substantial political and cultural changes. Differences associated with gender and parental education were found in beliefs and intentions regarding marriage and family building. Also, the sample seemed to hold more traditional cultural values than did a comparable prerevolutionary sample of youth who were from the same geographical location and were of the same sex and parental educational background. However, it was found that even the groups from the lowest educational background showed some degree of nontraditional attitudes and intentions regarding marriage and family. Interpreting the findings in light of cultural observations and attitude change theory, it is argued that a certain degree of real attitude change has occurred, and is continuing, in the nontraditional direction among educated youth.     

Analyzing the Dimensionality of Place Attachment and Its Relationship with Residential Satisfaction in New Cities: The Case of Sadra,Iran

Social Indicators Research - During the recent decades, new cities have been set up around Iranian main cities, after exclusive pre-planning and investigations. However, no significant research...     

Survivorship and fertility schedules of two Sumatran tortoise beetles,Aspidomorpha miliaris andA. sanctaecrucis (Coleoptera: Chrysomelidae) under laboratory conditions

Summary Two species of tortoise beetles,Aspidomorpha miliaris (AM) andA. sanctaecrucis (AS) feeding on a shrub-like morning glory,Ipomoea carnea, were reared under laboratory conditions to study their survivorship and fertility schedules. AM and AS required 34–39 days and 30–37, respectively, for the development of the immature stages. The mean longevity of the males was 88.4 days in AM and 63.8 in AS, and that of females was 87.9 days in AM and 83.3 in AS. The mean length of the pre-reproductive period (27.2 days in AM and 33.8 in AS) was much longer than that of the post-reproductive period (10.9 days in AM and 14.3 in AS). Females laid eggs at a nearly constant rate throughout their reproductive period. The reproductive valueV _x /V ₀ of the two species remained high for most of their adult life, as a result of prolonged survivorship and fertility periods. The total number of eggs produced per female was 442.9 (AM) and 80.1 (AS). The intrinsic rate of natural increaser was 0.070 (AM) and 0.044 (AS) per capita per day. The prolonged reproductive schedules, coupled with strong dispersal power, of these species no doubt have an adaptive value for living in highly disturbed tropical environments, where rainfall is ample but unpredictable and food resources are available throughout the year in a wide area, but distributed in widely flung patches. Contributions to the knowledge of population dynamics of tortoise beetles in Sumatra 3. Contribution No. 33 of Sumatra Nature Study (Entomology). Partly supported by Grants from Japan Society for Promotion of Science for JSPS-DGHE Scientific Cooperation (1980, 1982) and Grants-in-Aid for Overseas Scientific Survey from Ministry of Education, Science and Culture of Japan (Nos. 56041027 and 58041030).     

Perceptions of the processes of radicalisation and de-radicalisation among British South Asian Muslims in a post-industrial city

This paper presents the findings of a qualitative study exploring the perceptions of British South Asian Muslims in relation to the pathways towards radicalisation and the challenges of community leadership in relation to de-radicalisation. The study is based on in-depth interviews, using an ethnographic methodological framework, with a purposive sample of 30 Muslim men and women, including senior political figures, community leaders, religious figures and young Muslims (aged 18–25) from across the city of Birmingham, UK. The fieldwork was carried out between September 2005 and May 2007. Respondents reflected a general perspective that regards social exclusion, Islamophobia, lack of effective theological and political leadership, regressive anti-terror law and geo-political events as principal factors in the radicalisation and the de-radicalisation of British Muslims. These findings provide important insights into Muslims in Britain in relation to questions of ‘radicalism’ and politics, and they have specific implications for research, policy and practice in this area.     

Association Models for Multi-Dimensional Cross-Classifications of Ordinal Variables

Models are formulated for describing associations among ordinal variables in multidimensional tables.Uniform association and uniform interaction models occur as special cases in which equal-interval scores are assigned to levels of the variables.The models described are extensions of ones proposed by Goodman (1979).     

Fuzzy p-value in testing fuzzy hypotheses with crisp data

In testing statistical hypotheses, as in other statistical problems, we may be confronted with fuzzy concepts. This paper deals with the problem of testing hypotheses, when the hypotheses are fuzzy and the data are crisp. We first introduce the notion of fuzzy p-value, by applying the extension principle and then present an approach for testing fuzzy hypotheses by comparing a fuzzy p-value and a fuzzy significance level, based on a comparison of two fuzzy sets. Numerical examples are also provided to illustrate the approach.     

Objective Bayesian Analysis for Log-logistic Distribution

In this article, Bayesian approach is applied to estimate the parameters of Log-logistic distribution under reference prior and Jeffreys’ prior. The reference prior is derived and it is found that the reference prior is also a second-order matching priors as for the case of any parameter of interest. The Bayesian estimators cannot be obtained in explicit forms. Metropolis within Gibbs sampling algorithm is used to obtain the Bayesian estimators. The Bayesian estimates are compared with the maximum likelihood estimates via simulation study. A real dataset is considered for illustrative purposes.