Immigrant fertility: an examination of social characteristics and assimilation

"This study compares the fertility patterns of foreign-born and native-born women in Canada and examines whether [the] same set of social characteristics accounts for differential fertility among both the groups. The study also assesses the importance of social characteristics and assimilation on immigrant fertility behavior. Two generations of currently married/cohabiting women with spouse present are analyzed using multiple regressions. The results reveal similar effects on fertility of social characteristics for foreign-born and native-born, while in the case of younger generations the effects are stronger."     

A generalization of Petersen's typology of migration

A typology of migration is presented that extends the one originally developed by William Petersen, which was based on ecological push, migration policy, people's aspirations, and social momentum. The proposed typology considers both the migrant's state of mind and two points in time. Examples of 36 migrant types are provided using data for Canada and selected other countries. (SUMMARY IN FRE AND SPA)     

A Bayesian Approach for Analyzing Results of Vehicle Collision Tests

Certain motor vehicle safety standards stipulate a collision test speed and a set of performance criteria that vehicles must satisfy during or after the collision test. For example, Federal Motor Vehicle Safety Standard 301 requires a 30 mile per hour (mph) barrier collision and specifies a certain maximum allowable limit on the total spillage of fuel. Vehicle designs are required to meet this standard; however, when collision tests are conducted at speeds higher than the standard, vehicles do not always satisfy the performance criteria. This paper develops a mathematical model for estimating the probability of meeting the standard by using a Bayesian framework to incorporate engineering judgment with collision test results. The model is based on the idea that there are random features to a vehicle's ability to meet performance standards in a collision, especially at such elevated speeds. Example calculations are included to illustrate the estimation of the probability of meeting the standard and to compare it with a maximum likelihood approach.     

A fig tree in a concrete jungle: fine-scale population genetic structure of the cluster fig Ficus racemosa in an urban environment

Urban Ecosystems - Urban vegetation is an essential requirement in cities for mitigating pollution, heat island effects and providing food and shelter to urban fauna. Efforts to conserve and...     

Matching Managers to Strategy: Further Tests of the Miles and Snow Typology

This paper integrates prior research on strategic leadership by building on the concept of alignment to explain the performance impact of top managers. Using the Miles and Snow (1978) typology as a theoretical framework, several hypotheses are tested on a sample drawn from three distinct industries. The results show that organizations that are able to achieve an alignment between managerial characteristics and strategic direction perform better than firms where such an alignment is absent. Further, it was found that the strategy-manager match explains a greater proportion of variance in performance than industry membership, organizational age and firm size. Taken together, these findings provide persuasive evidence about the impact that an organization's leaders exert in driving performance outcomes and demonstrates the validity of the administrative dimension of the Miles and Snow typology.     

A simulation analysis of the impact of family configuration on virtual cellular manufacturing

Past research has shown that it is possible to simultaneously achieve the setup efficiencies of traditional cellular manufacturing systems and the routeing flexibility of a job shop by viewing cells not as permanent, physical structures, but as temporary, 'virtual' entities. This research demonstrates that the advantages of virtual manufacturing cells can be obtained over a range of part family configurations. In particular, virtual cellular manufacturing is robust to changes in the number and size of families being processed. Further, the research shows that the benefits can be obtained under setup conditions impartial to a family-oriented part environment.     

Social security in a globalizing world

The main burden of the paper is to argue for enlarging both the concept and the coverage of social security, especially in developing countries, to address the twin problems of "deficiency" and "adversity". The two parts of this enlarged concept of social security are Basic Social Security (BSS) and Contingent Social Security (CSS). To strengthen the argument, lessons have been highlighted from the historical experience of Western countries, where the State played a leading role. Having argued for the extension of BSS, the paper also deals with the extension of CSS. This is best done through the informal economy, which employs a large majority of workers in developing countries. While the primacy of the State has been highlighted, the paper develops a typology of various social security models that could be used to study and understand the existing arrangements as well as the potentialities for extension.     

Hierarchical bayes quality measurement plan

Quality Measurement Plan (QMP) as developed by Hoadley (1981) is a statistical method for analyzing discrete quality audit data which consist of the expected number of defects given the standard quality. The QMP is based on an empirical Bayes (EB) model of the audit sampling process. Despite its wide publicity, Hoadley's method has often been described as heuristic. In this paper we offer an hierarchical Bayes (HB) alternative to Hoadley's EB model, and overcome much of the criticism against this model. Gibbs sampling is used to implement the HB model proposed in this paper. Also, the convergence of the Gibbs sampler is monitored via the algorithm of Gelman and Rubin (1992).     

Tissue Dosimetry, Pharmacokinetic Modeling, and Interspecies Scaling Factors

Interspecies scaling factors (ISFs) are numbers used to adjust the potency factor (for example, the q1* for carcinogens or reference doses for compounds eliciting other toxic endpoints) determined in experimental animals to account for expected differences in potency between test animals and people. ISFs have been developed for both cancer and non-cancer risk assessments in response to a common issue: toxicologists often determine adverse effects of chemicals in test animals and then they, or more commonly risk assessors and risk managers, have to draw inferences about what these observations mean for the human population. This perspective briefly reviews the development of ISFs and their applications in health risk assessments over the past 20 years, examining the impact of pharmacokinetic principles in altering current perceptions of the ISFs applied in these health risk assessments, and assessing future directions in applying both pharmacokinetic and pharmacodynamic principles for developing ISFs.     

The generalized exponential cure rate model with covariates

In this article, we consider a parametric survival model that is appropriate when the population of interest contains long-term survivors or immunes. The model referred to as the cure rate model was introduced by Boag 1 Boag, J. W. 1949. Maximum likelihood estimates of the proportion of patients cured by cancer therapy. J. R. Stat. Soc. Ser. B, 11: 15–53.  [Google Scholar] in terms of a mixture model that included a component representing the proportion of immunes and a distribution representing the life times of the susceptible population. We propose a cure rate model based on the generalized exponential distribution that incorporates the effects of risk factors or covariates on the probability of an individual being a long-time survivor. Maximum likelihood estimators of the model parameters are obtained using the the expectation-maximisation (EM) algorithm. A graphical method is also provided for assessing the goodness-of-fit of the model. We present an example to illustrate the fit of this model to data that examines the effects of different risk factors on relapse time for drug addicts.