Best Practices for Biostatistical Consultation and Collaboration in Academic Health Centers

Given the increasing level and scope of biostatistics expertise needed at academic health centers today, we developed best practices guidelines for biostatistics units to be more effective in providing biostatistical support to their institutions, and in fostering an environment in which unit members can thrive professionally. Our recommendations focus on the key areas of: (1) funding sources and mechanisms; (2) providing and prioritizing access to biostatistical resources; and (3) interacting with investigators. We recommend that the leadership of biostatistics units negotiate for sufficient long-term infrastructure support to ensure stability and continuity of funding for personnel, align project budgets closely with actual level of biostatistical effort, devise and consistently apply strategies for prioritizing and tracking effort on studies, and clearly stipulate with investigators prior to project initiation policies regarding funding, lead time, and authorship.     

Analytic evaluation of the expectation and variance of different performance measures of a schedule on a single machine under processing time variability

In this paper, we present closed-form expressions, wherever possible, or devise algorithms otherwise, to determine the expectation and variance of a given schedule on a single machine. We consider a variety of completion time and due date-based objectives. The randomness in the scheduling process is due to variable processing times with known means and variances of jobs and, in some cases, a known underlying processing time distribution. The results that we present in this paper can enable evaluation of a schedule in terms of both the expectation and variance of a performance measure considered, and thereby, aid in obtaining a stable schedule. Additionally, the expressions and algorithms that are presented, can be incorporated in existing scheduling algorithms in order to determine expectation-variance efficient schedules.     

A test for bivariate exponentiality against bifr alternative

A test is proposed for testing bivariate exponentiality against the Bivariate Increasing Failure Rate (BIFR) class of alternatives. The test statistic is a function of U-statistics and hence asymptotically normally distributed and consistent     

On measures of relative information with preference

In this paper sore generalized measures of relative information with preference have been suggested and characterized. Various previously known results are shown as particular cases of these measures.     

A new test for bivariate distributions : exponential vs new-better-than-used alternative

This paper presents a new test for testing bivariate exponentiality against the bivariate new better than used (BNBU) class of non-exponential probability distributions. The test statistic is a function of U-statistics and hence asymptotically normally distributed and consistent.     

Post-reform India’s automotive-iconic-cement assemblages: uneven globality,territorial spectacle and iconic exhibition value

India’s post-liberalisation landscape has unexpectedly been populated by monumental iconic statues. These statues, co-emergent with an automobile and construction boom and an attendant resignification and revaluing of land, are a productive site for rethinking the role of spectacle in neoliberal globalisation from the locus of post-liberalisation India. Against theories that characterise spectacle as primarily virtual and deterritorialised, they illuminate how spectacle is enmeshed in the imaginaries, spatial politics, material processes and heterogeneous temporalities of uneven development. Their religious aspect also calls for a re-examination of Benjamin’s distinction between cult value and exhibition value.     

3D object recognition: Representation and matching

Three-dimensional object recognition entails a number of fundamental problems in computer vision: representation of a 3D object, identification of the object from its image, estimation of its position and orientation, and registration of multiple views of the object for automatic model construction. This paper surveys three of those topics, namely representation, matching, and pose estimation. It also presents an overview of the free-form surface matching problem, and describes COSMOS, our framework for representing and recognizing free-form objects. The COSMOS system recognizes arbitrarily curved 3D rigid objects from a single view using dense surface data. We present both the theoretical aspects and the experimental results of a prototype recognition system based on COSMOS.     

Union premiums in the federal and private sectors: Alternative evidence from job queues

Although traditional wage estimates indicate a larger union-nonunion differential in the private sector compared to that in the federal sector, the role of non-wage benefits is ignored in such comparisons. A job queue approach shows that premiums to unionized employment (in terms of both wage and non-wage benefits) are lower in the federal sector than in the private sector. This approach not only overcomes the limitations of wage studies in examining the relative superiority of union over nonunion jobs in both sectors, but also strengthens their conclusions through a more appropriate alternative method. The author thanks John Heywood, Neil Garston, Richard Roseman, and Miles Finney for helpful comments. I also thank the editor and the referee for extremely useful suggestions.     

AN INVENTORY PROBLEM APPLIED TO A RENTAL SITUATION

An inventory problem, applied to a rental situation business, has been considered. If no item is in stock when a demand occurs, the company borrows the units from other concerns in the same line of business. The profit function has been calculated and it has been shown how the inventory level increases with penalty cost. A review of the literature on inventory control reveals that not much work has been done in holding inventories of rental items. In a recent paper, Tainiter (1964) considered the situation in which a company rents out items such as cars, trucks, farm equipment, books, furniture, etc., and obtained the profit function by taking “rental-out” time as a negative exponential and demand as a general random variable. The model is equally applicable to companies which rent out “service personnel”, repair men, taxi cabs, etc. “We consider a company renting out items to customers. The company starts its business by purchasing a total number of M items in the inventory. The term inventory, defined by Arrow, Earlin and Scarf (1958) as the stock of goods which is kept for future sale or production, is applicable here. Whenever a demand occurs the item is rented out immediately, if it is available in the stock. But if the inventory is zero, i.e. all the items are rented out, the demand will be satisfied by borrowing items from other companies which are dealing in the same line of business. For example, a manufacturer of refrigerators maintains and repairs his product at the customer's house after sale. If a complaint arrives when no repairmen are available, the company will “borrow” repairmen from elsewhere and will attend to the complaint immediately. The borrowing cost may be negative or positive, representing a penalty or a profit. On the other hand if the company does not borrow and the customer has to wait (and such situations occur very often) the loss of the customer's goodwill may occur. It is also not possible to keep large numbers of items because of the storage costs and tied up capital. The problem is then to devise an optimal policy such that the profits of the company are maximized.