BARING LIFE AND LIFESTYLE IN THE NON-PLACE

In this paper I offer an intervention into two prevailing approaches to the non-place – those spaces of transit that include hotels, airports, theme parks, and refugee camps. The non-place is treated on the one hand as an apolitical space of hypermediated consumption and mobility while, on the other hand, it also figures as exemplary of the biopolitical regulation of life within a ‘contemporary camp’. I argue that the non-place must be read, not as spectacle or camp, but as housing a very specific politics of place wherein the logic of the camp and the spectacle collide. What is of interest to me is not so much the camp as the hidden space of modernity, but how it finds a willing alibi in the spectacular media saturated spaces of capital. Within the non-place, the forces of global corporate capital have found an amiable space to both invest (lifestyle) and reduce (bare life) human life to maximize and optimize its own power.     

Fitting bivariate multilevel models to assess long-term changes in body mass index and cigarette smoking

Using data from the National Health interview Survey from 1997 to 2006, we present a multilevel analysis of change in body mass index (BMI) and number of cigarettes smoked per day in the USA. Smoking and obesity are the leading causes of preventable mortality and morbidity in the USA and most parts of the developed world. A two-stage bivariate model of changes in obesity and number of cigarette smoked per day is proposed. At the within subject stage, an individual's BMI status and the number of cigarette smoked per day are jointly modeled as a function of an individual growth trajectory plus a random error. At the between-subject stage, the parameters of the individual growth trajectories are allowed to vary as a function of differences between subjects with respect to demographic and behavioral characteristics and with respect to the four regions of the USA (Northeast, West, South and North central). Our two-stage modeling techniques are more informative than standard regression because they characterize both group-level (nomothetic) and individual-level (idiographic) effects, yielding a more complete understanding of the phenomena under study.     

Style repertoire and social change in British Asian English

This study has two goals: empirically, it accounts for variation found in the use of ethnically‐marked variants among British‐born Asians; methodologically, it assesses the variationist approach against a repertoire approach. In Part I, analysis of one Punjabi‐derived phonetic trait, examined in interview data only, suggests that younger women shift to exclusive use of the British prestige variant. Part II expands the analysis to four variables and to broader speech repertoires for four individuals. The repertoire analysis shows the conclusions in Part I to be inaccurate, and instead reveals: (1) retention of Punjabi traits by young women in the home domain; (2) two types of repertoire – flexible and fused; (3) a gendered reversal in repertoire type over time; and (4) a network diversity basis for these differences. Unlike the initial variationist analysis, the use of repertoire analysis and a new Network Diversity Index leads to the discovery of a shift among lower‐middle‐class British Asians from traditional Punjabi to urban British social structures.     

Dialect stabilization and speaker awareness in non‐native varieties of English1

Research on indigenized non‐native varieties of English has aimed to distinguish these varieties from individual second language learning in structural and social terms ( B. Kachru 1983 ; Platt, Weber and Ho 1984 ; Cheshire 1991 ) ; however, quantitative evidence of this divergence remains scarce. Through an analysis of a range of Indian English speakers in a contact situation in the United States, this study distinguishes developing dialect features from second language learning features and explores the concomitant emergence of dialect consciousness. First, an implicational analysis shows that some non‐standard variables (past marking, copula use, agreement) exhibit a second language learning cline while others (articles) form a more stable, incipient non‐standard system shared to some extent by all speakers; a multivariate analysis suggests that both sets of variables are governed by proficiency levels. Next, the explanatory scope of proficiency is assessed by examining the use of selected phonological variants (rhoticity, l‐velarization, aspiration). The use of these features resembles native‐like style‐shifting, as it appears to be more sensitive to speakers’ attitudinal stances than to proficiency levels. This points to the importance of understanding emerging speaker awareness and perceptions of stigma, risk, and value in new varieties of English.     

Robustness of complete diallel crossing plans against exchange of one cross

The robustness aspects of block designs for complete diallel crossing plans against the exchange of one cross using connectedness and efficiency criteria have been investigated. The exchanged cross may have either no line in common or one line in common with the original cross. It has been found that randomized complete block (RCB) designs for complete diallel crosses and binary balanced block designs for complete diallel crosses are robust against the exchange of one cross in one observation. The RCB designs for diallel crosses have been shown to be robust against the exchange of one cross with another cross in all the blocks. The non-binary balanced block designs obtainable from Family 5 of Das et al. (1998) have also been found to be robust against the exchange of one cross.     

On the construction of group divisible incomplete block designs

In this paper a method of constructing group-divisible incomplete block designs has been suggested. A series of balanced incomplete block designs has also been obtained.     

On some test statistics for testing homogeneity of variances: a comparative study

In this paper, we have reviewed 25 test procedures that are widely reported in the literature for testing the hypothesis of homogeneity of variances under various experimental conditions. Since a theoretical comparison was not possible, a simulation study has been conducted to compare the performance of the test statistics in terms of robustness and empirical power. Monte Carlo simulation was performed for various symmetric and skewed distributions, number of groups, sample size per group, degree of group size inequalities, and degree of variance heterogeneity. Using simulation results and based on the robustness and power of the tests, some promising test statistics are recommended for practitioners.     

Analysis of Bivariate Survival Data using Shared Inverse Gaussian Frailty Model

In this article, we consider shared frailty model with inverse Gaussian distribution as frailty distribution and log-logistic distribution (LLD) as baseline distribution for bivariate survival times. We fit this model to three real-life bivariate survival data sets. The problem of analyzing and estimating parameters of shared inverse Gaussian frailty is the interest of this article and then compare the results with shared gamma frailty model under the same baseline for considered three data sets. Data are analyzed using Bayesian approach to the analysis of clustered survival data in which there is a dependence of failure time observations within the same group. The variance component estimation provides the estimated dispersion of the random effects. We carried out a test for frailty (or heterogeneity) using Bayes factor. Model comparison is made using information criteria and Bayes factor. We observed that the shared inverse Gaussian frailty model with LLD as baseline is the better fit for all three bivariate data sets.     

A Selection Procedure for Selecting the Least Increasing Failure Rate Average Distribution

For k independent absolutely continuous increasing failure rate average (IFRA) life distributions F_i, i = 1, 2, …, k, Link (1989 Link, W.A. (1989). Testing for exponentiality against monotone failure rate average alternatives. Commun. Statist. Theor. Meth. 18(8): 3009–3017.[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) considered a measure of departure of against monotone failure rate average alternatives. In this paper, we use the measure defined by Link for detection of IFRA-ness of life distribution F_i. A two-stage selection procedure to select the least IFRA distribution is proposed. This selection procedure is based on a U-statistic which is an estimator of the measure and can be implemented even when the IFRA life distributions belong to different families. The applications of this procedure are discussed for some well known distributions.