Leader–member exchange,feelings of energy,and involvement in creative work

This study examined how leaders create the impetus for creativity at work. One hundred ninety-three employees occupying a variety of jobs in Israeli organizations completed surveys at two points in time to assess their perceptions of the quality of their relationship with their leader (LMX), their level of energy, and their creative work involvement. SEM and regression analyses showed that LMX was positively related to employees' feelings of energy, which in turn were related to a high level of involvement in creative work. Factors that leaders should take into consideration in promoting followers' creative behaviors are discussed.     

Estimation in Epidemics with Incomplete Observations

The construction of estimating equations by martingale methods is generalized to yield estimators with explicit expressions for the parameters of the birth-and-death and the general epidemic processes when only partial observations are available. (For the birth-and-death process the death process is observed but the number of births is observed only at the end and for the general epidemic process only the removal process is observed.) For large populations, the use of the martingale central limit theorem yields asymptotic confidence regions for the parameters. Explicit expressions are derived for estimators of the variances of the large sample distributions. The range of validity and usefulness of the new estimators is determined by simulation.     

‘Germany Has Become Mohammedan’: Insurgency,Long-Distance Travel,and the Singapore Mutiny, 1915

Abstract

The mutiny that took place in Singapore in February 1915 is usually dismissed as a footnote in the history of empire. One reason why it is marginalized is because the mutiny does not conform to a politics that seeks the formation of an independent territorial nation-state as its inevitable conclusion. This article returns to that initial moment of insurgency to argue that the mutiny offers a unique window into the political imaginaries of British Indian soldiers, seen as military migrant workers. A close reading of soldiers’ letters against the Rowlatt Committee's Sedition Report suggests a politics of equality and emancipation uncontaminated by the desire for national liberation. Two kinds of insurgency thus become visible: international space as an unsettled zone of attraction and desire and a nascent political subjectivity that rejects the disciplines of imperial military labor. The primary causes of these transformations, I argue, are the insurgent effects of long-distance travel.     

Unsupervised Curve Clustering using B-Splines

Data in many different fields come to practitioners through a process naturally described as functional. Although data are gathered as finite vector and may contain measurement errors, the functional form have to be taken into account. We propose a clustering procedure of such data emphasizing the functional nature of the objects. The new clustering method consists of two stages: fitting the functional data by B‐splines and partitioning the estimated model coefficients using a k‐means algorithm. Strong consistency of the clustering method is proved and a real‐world example from food industry is given.     

Empirical likelihood based variable selection

Information criteria form an important class of model/variable selection methods in statistical analysis. Parametric likelihood is a crucial part of these methods. In some applications such as the generalized linear models, the models are only specified by a set of estimating functions. To overcome the non-availability of well defined likelihood function, the information criteria under empirical likelihood are introduced. Under this setup, we successfully solve the existence problem of the profile empirical likelihood due to the over constraint in variable selection problems. The asymptotic properties of the new method are investigated. The new method is shown to be consistent at selecting the variables under mild conditions. Simulation studies find that the proposed method has comparable performance to the parametric information criteria when a suitable parametric model is available, and is superior when the parametric model assumption is violated. A real data set is also used to illustrate the usefulness of the new method.     

Limit Distributions of Random Sums of Z+-Valued Random Variables

In this article, we formulate a transfer theorem in terms of probability generating functions and discuss two approaches to limit distributions of random sums of Z ₊-valued random variables. We then develop Z ₊-valued N-ID and ?-ID laws.     

Reanalysis of Dose-Response Data from the Iraqi Methylmercury Poisoning Episode

Applying a hockey stick parametric dose-response model to data on late or retarded development in Iraqi children exposed in utero to methylmercury, with mercury (Hg) exposure characterized by the peak Hg concentration in mothers'hair during pregnancy, Cox et al. calculated the "best statistical estimate" of the threshold for health effects as 10 ppm Hg in hair with a 95% range of uncertainty of between 0 and 13.6 ppm.⁽¹⁾A new application of the hockey stick model to the Iraqi data shows, however, that the statistical upper limit of the threshold based on the hockey stick model could be as high as 255 ppm. Furthermore, the maximum likelihood estimate of the threshold using a different parametric model is virtually zero. These and other analyses demonstrate that threshold estimates based on parametric models exhibit high statistical variability and model dependency, and are highly sensitive to the precise definition of an abnormal response. Consequently, they are not a reliable basis for setting a reference dose (RfD) for methylmercury. Benchmark analyses and statistical analyses useful for deriving NOAELs are also presented. We believe these latter analyses—particularly the benchmark analyses—generally form a sounder basis for determining RfDs than the type of hockey stick analysis presented by Cox et al. However, the acute nature of the exposures, as well as other limitations in the Iraqi data suggest that other data may be more appropriate for determining acceptable human exposures to methylmercury.     

Migration Decisions Within Dual‐Earner Partnerships: A Test of Bargaining Theory

This article focuses on the problems faced by dual‐earner partnerships arising from the regional coordination of the partners' careers. It is still unknown whether the fact that couples are less mobile than singles is caused by homogeneous preferences within couples or by a process of balancing conflicting interests. Consequently, we analyze the potential conflicts provoked by work‐related migration incentives. We test hypotheses derived from bargaining theory using quasi‐experimental data from a factorial survey of nearly 280 European couples. Our results support the bargaining approach and confirm that asymmetrical shifts in bargaining power drive the potential for conflict. Women's willingness to move is generally less than men's, but the impact of employment prospects differs only slightly by gender.     

Poverty Assessment in Degraded Rural Drylands in the Monte Desert,Argentina. An Evaluation Using GIS and Multi-criteria Decision Analysis

The work aims to contribute to the construction a local-scale poverty indicator, which contemplates multiple dimensions and allows for spatialization of socioeconomic data for a rural area in the Monte Desert. Given the evident and widely studied relationship between desertification processes and poverty, and aiming to contribute to integrating socioeconomic information to desertification assessment and monitoring, there arises the need for spatializing poverty by addressing its multiple dimensions, aspects poorly developed thus far. For this purpose, a data model was designed, which enabled integrating quantitative and qualitative information within the scope of geographic ?nformation systems (GIS) with multi-criteria decision analysis (MCDA), whereby it was possible to spatialize in detail the degree of poverty in the study area, laying the foundations for up-scaling the assessment to different scales. This work demonstrates the usefulness of GIS and MCDA as an instrument that enables progressing in new integral, interdisciplinary, multi-scale and multi-temporal approaches.