The social worker as intellectual

This paper examines the state of intellectual activity within social work under the conditions of neo-liberalism. It is motivated by concern with the demise of what previously was termed ‘bottom-up’ social work and a growing sense of despair amongst front line social workers regarding their capacity to engage with users, citizens and communities in ways other than those determined by managerial and regulatory mechanisms. This leads us into a discussion about the possibilities of what it might mean for social workers to think of themselves as ‘intellectuals’. It considers the different meanings of the term ‘intellectual’ and argues that social work has much to gain from the tradition which has identified new kinds of public sector professionals as ‘transformative intellectuals’.     

METHOD OF ESTIMATION FOR SAMPLING FROM INCOMPLETE FRAMES

The planning of any sample survey or census requires the existence of a sampling frame comprising a list of all the sampling units. But unfortunately there is hardly a situation in practice where the frame is available in the form the sampler desires to use. Most commonly some units of the target population are not listed in the frame, and the frame may contain units which do not belong to the target population. In this investigation a suitable method of estimation is proposed when sampling is done from such imperfect frames and a geographical ordering of the units can be established.     

Disadvantage and Discrimination Compounded: the experience of Pakistani and Bangladeshi parents of disabled children in the UK

This paper discusses a qualitative and quantitative study of the circumstances of 20 Pakistani and Bangladeshi families with one or more severely disabled children living in Birmingham, England. Parents and other adult carers were interviewed using a combination of structured questionnaires and a semi-structured interview schedule focusing on the families' material circumstances, their use of formal services, informal care arrangements, and aspects of the parents' social and psychological well-being. The study suggests that previous national surveys of disabled families may have under-estimated the extent of material disadvantage, while it confirms that health and social care professionals should not assume that Pakistani and Bangladeshi parents have recourse to high levels of extended family support. The combination of disadvantaged circumstances and difficulties in securing access to appropriate services, which are found for the majority of families with a disabled child, was particularly acute for these ethnic minority families, suggesting the additional dimension of institutional racism.     

Sampling with partial enumeration from bivariate populations

In multi-character surveys, determination of sample sizes for studying various characters poses a difficult problem. In some situations, instead of observing the same units for all the characters it may be desirable to have some units observed for all the characters whereas some extra units for each character are observed separately. Such type of sampling has been defined here as sampling with partial enumeration. In the present investigation the efficiency of sampling with partial enumeration has been examined as compared to the usual two phase sampling for the study of only two characters.     

Inferences Concerning Exponential Distributions in the Presence of Randomly Right Censored Data with Missing Censored Values

Inferences concerning exponential distributions are considered from a sampling theory viewpoint when the data are randomly right censored and the censored values are missing. Both one-sample and m-sample (m 2) problems are considered. Likelihood functions are obtained for situations in which the censoring mechanism is informative which leads to natural and intuitively appealing estimators of the unknown proportions of censored observations. For testing hypotheses about the unknown parameters, three well-known test statistics, namely, likelihood ratio test, score test, and Wald-type test are considered.     

A multivariate von mises distribution with applications to bioinformatics

Motivated by problems of modelling torsional angles in molecules, Singh, Hnizdo & Demchuk (2002) proposed a bivariate circular model which is a natural torus analogue of the bivariate normal distribution and a natural extension of the univariate von Mises distribution to the bivariate case. The authors present here a multivariate extension of the bivariate model of Singh, Hnizdo & Demchuk (2002). They study the conditional distributions and investigate the shapes of marginal distributions for a special case. The methods of moments and pseudo‐likelihood are considered for the estimation of parameters of the new distribution. The authors investigate the efficiency of the pseudo‐likelihood approach in three dimensions. They illustrate their methods with protein data of conformational angles     

Estimation of population mean in presence of random non response in two-stage cluster sampling

The present investigation addresses the problem of estimating a finite population mean in two-phase cluster sampling in presence of random non response situations. Utilizing information on an auxiliary variable, regression type estimators has been proposed. Effective imputation techniques have been suggested to deal with the random non response situations. The properties of the proposed estimation strategies have been studied for different cases of random non response situations in practical surveys. The superiority of the suggested methodology over the natural sample mean estimator of population mean has been established through empirical studies carried over the data sets of natural population and artificially generated population.