“Who generates this city”? Socialist strategy in contemporary London

This essay, based on a “militant ethnography” of the attempts of the small radical grassroots activist group, Our London (a pseudonym), to mobilize a collective oppositional politics through activities around an election campaign, engages critically with E. Laclau and C. Mouffe's arguments on discourse and collectivity in Hegemony and Socialist Strategy (London: Verso, 1985). I argue, on the basis of my findings, that while their model does provide insights that help describe the process of building collectivity from among disparate perspectives and identities, we need to go beyond a focus on discourse alone and consider the ways politics is shaped by material contexts. This is necessary if we are to understand the continued appeal of class politics as well as the difficulties in mobilizing collectivity in highly unequal and fragmented cities. From an activist perspective, the essay also highlights how developing a conception of collective interests and a critique of overarching systems of exploitation can be important in building political unity.     

Correlated random effects regression analysis for a log-normally distributed variable

In regression analysis, it is assumed that the response (or dependent variable) distribution is Normal, and errors are homoscedastic and uncorrelated. However, in practice, these assumptions are rarely satisfied by a real data set. To stabilize the heteroscedastic response variance, generally, log-transformation is suggested. Consequently, the response variable distribution approaches nearer to the Normal distribution. As a result, the model fit of the data is improved. Practically, a proper (seems to be suitable) transformation may not always stabilize the variance, and the response distribution may not reduce to Normal distribution. The present article assumes that the response distribution is log-normal with compound autocorrelated errors. Under these situations, estimation and testing of hypotheses regarding regression parameters have been derived. From a set of reduced data, we have derived the best linear unbiased estimators of all the regression coefficients, except the intercept which is often unimportant in practice. Unknown correlation parameters have been estimated. In this connection, we have derived a test rule for testing any set of linear hypotheses of the unknown regression coefficients. In addition, we have developed the confidence ellipsoids of a set of estimable functions of regression coefficients. For the fitted regression equation, an index of fit has been proposed. A simulated study illustrates the results derived in this report.     

The Reception Given to Sadhu Sundar Singh,the Itinerant Indian Christian ‘Mystic’, in Interwar Britain

In 1920 and 1922, an Indian Christian called Sadhu Sundar Singh toured Britain. Widely renowned in the global Christian community in the interwar period, Singh was notorious for certain stories of miracles, for his appearance and for the ways in which he epitomised Eastern Christianity. Using Singh’s correspondence and a range of newspapers, this article argues that British audiences were attracted to Singh because of his appearance and ethnicity and because he conformed to stereotypes of essentialised Indian spirituality despite his Christian faith. It argues that the reception to Singh in Britain must be understood in relation to the perpetuation of Orientalist understandings of Indians and Indian religions in the interwar period.     

Sparrows in urban complexity: macro and micro-scale habitat use of sympatric sparrows in Guwahati City,India

In recent decades the House Sparrow and Tree Sparrow have suffered considerable declines. To date, little is known about the fine scale habitat selection of sparrows where they occur together. We investigated how sympatric sparrows used macro and microhabitats in the urban environment of Guwahati city. Survey of sparrows was carried out in 572 locations of different urban settings to find out the city scale distribution. We classified urban habitats and collected micro-habitat variables at 45 point count stations during 2013–2015. Urbanization gradient was found to be influential in limiting the abundance of sparrows. House Sparrow was more common within the urbanized areas compared to low settlement densities located far from the urban core. In contrast, Tree Sparrows were more scattered and seldom found in crowded areas. Spatial overlap was comparatively high in the residential areas adjacent to hillocks. At micro scale, House Sparrow had quadratic response to the degree of urbanization. Both the species avoided areas where urbanization reached the peak; specifically, the areas which were completely devoid of natural vegetation and top soil was paved, and in shopping centers with glass facades. Habitat requirements of both the species at local landscape scale seemed to be similar, although, with some overlaps, they occupied different gradients of the urban environment. Since urban landscapes are highly managed, the fundamental tool for enhancing urban sparrow populations would be the protection of mosaic habitat prioritizing suitable design and management of private gardens and allotments.

     

Accelerated test system strength models based on Birnbaum–Saunders distribution: a complete Bayesian analysis and comparison

Several models for studies related to tensile strength of materials are proposed in the literature where the size or length component has been taken to be an important factor for studying the specimens’ failure behaviour. An important model, developed on the basis of cumulative damage approach, is the three-parameter extension of the Birnbaum–Saunders fatigue model that incorporates size of the specimen as an additional variable. This model is a strong competitor of the commonly used Weibull model and stands better than the traditional models, which do not incorporate the size effect. The paper considers two such cumulative damage models, checks their compatibility with a real dataset, compares them with some of the recent toolkits, and finally recommends a model, which appears an appropriate one. Throughout the study is Bayesian based on Markov chain Monte Carlo simulation.     

A Variable Selection Criterion in the Linear Programming Approaches to Discriminant Analysis*

There are numerous variable selection rules in classical discriminant analysis. These rules enable a researcher to distinguish significant variables from nonsignificant ones and thus provide a parsimonious classification model based solely on significant variables. Prominent among such rules are the forward and backward stepwise variable selection criteria employed in statistical software packages such as Statistical Package for the Social Sciences and BMDP Statistical Software. No such criterion currently exists for linear programming (LP) approaches to discriminant analysis. In this paper, a criterion is developed to distinguish significant from nonsignificant variables for use in LP models. This criterion is based on the “jackknife” methodology. Examples are presented to illustrate implementation of the proposed criterion.     

Ridge estimation of restricted parameters in production techniques

The problem of determining ridge estimates of the regression parameters in a two-input production function model,constrained to be non-negative,has been formulated as an exercise in quadratic programming. Relevant Kuhn-Tucker conditions have been derived and a small simulation studv has been carried out.     

Social Support and its Correlation with Loneliness and Subjective Well-being: A Cross-cultural Study of Older Nepalese Adults

Population aging in Nepal is a recent phenomenon, due more to demographic changes than to socio-economic development. The study had three goals: to analyze the social support exchange among elderly men and women; to discover the main sources of support in loneliness and subjective well-being in the elderly; and to study the cross-cultural differences in support among elderly Chhetri ( N  = 137, mean age = 69.1 [7.2] years) and Newar people ( N  = 195, mean age = 68.8 [7.7] years) in one ward in Kathmandu. The data were collected using face-to-face interviews. The dependent variables were loneliness and subjective well-being (SWB). The results for both ethnic Chhetri and Newar respondents show that their major support comes from their children living in the same household and their spouses. I conclude that the sources of social support and social support exchange are similar between the two castes/ethnicities and that there are no cross-cultural differences between them in terms of support for loneliness and SWB-life stability, although there are cross-cultural differences in their SWB-life satisfaction. Providing social support to friends and neighbors appears to be related to less loneliness and increased SWB in both castes/ethnicities.