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In Proceedings of the 3rd ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), pages 157 164, Lausanne, Switzerland, 2002 21 Jie Gao, Leonidas J Guibas, John Hershberger, Li Zhang, and An Zhu Discrete mobile centers In Proceedings of the 17th Annual Symposium on Computational Geometry (SCG), pages 188 196, 2001 22 Yu Wang and Xiang-Yang Li Geometric spanners for wireless ad hoc networks In Proceedings of the 22nd International Conference on Distributed Computing Systems (ICDCS 02), pages 171 180, July 2002 23 Hannes Frey and Daniel Gorgen Planar graph routing on geographical clusters Ad hoc Networks, forthcoming 24 Martin Mauve, Holger Fu ler, Jorg Widmer, and Thomas Lang Position-Based Multicast Routing for Mobile Ad-Hoc Networks Technical Report TR-03-004, Department of Computer Science, University of Mannheim, Germany, 2003 25 Le Zou, Mi Lu, and Zixiang Xiong.

with which to decide whether the difference between two scores is high or low Person- and Item-Fit Statistics Person-fit and item-fit statistics are used to evaluate aberrant response patterns of persons and items with respect to a specified probabilistic model Detailed overviews can be found in, for example, Tatsuoka (1996) and von Davier and Strauss (2003) Considering, for example, the monotonicity assumption of the Rasch model, responses indicating mastery of difficult tasks and failure on easy tasks are not very probable when the Rasch model holds Person-fit and item-fit measures have been developed to estimate the deviation of observed response patterns from the expected responses, given that the model holds Various person-fit indices have been proposed for the two- and three-parameter models (eg.

Pager: A distributed algorithm for the dead-end problem of location-based routing in sensor networks In Proceedings of the 13th International Conference on Computer Communications and Networks (ICCCN 04), pages 509 514, Chicago, Illinois, October 2004 26 Volkan Rodoplu and Teresa H Meng Minimum energy mobile wireless networks IEEE Journal on Selected Areas in Communications, 17(8):1333 1344, August, 1999..

, Levine & Rubin, 1979; Tatsuoka, 1984) as well as for the (dichotomous) Rasch model (Molenaar & Hoijtink, 1990; Wright & Panchapakesan, 1969; Wright & Stone, 1979) The mixturedistribution-person-fit index Z has been proposed for a broad class of latent trait and latent class models (von Davier & Molenaar, 2003) Rost and von Davier (1994) proposed the Q index to evaluate the appropriateness of a single item Such an index, with a range between 0 and 1, is formed for each item The lower the value, the better the item fits the expected model This judgment can be tested by performing a significance test for each item Person- and item-fit indices (the infit and outfit statistics) are used particularly for model testing within the framework of the many-faceted model (Linacre, 2004; Wright & Masters, 1982), but not only in this model.

These indices are standardized residuals that can be defined by comparing the expected with the actual responses of each subject or item (see also Wright & Masters, 1982; Wright & Stone, 1979) This means that an efficient and sufficient measurement should produce items that elicit expected responses from persons responding to them Sufficient measurement requires that the more one is on the measured variable, the higher one will rate each item in comparison to a person who is lower than one on the measured variable A item that does not meet this requirement is considered a misfit The infit statistic is the weighted average of the squared standardized residuals; the outfit statistic is the unweighted average Linacre (2004), for example, reports upper and.

The concurrency control methods we have discussed in this chapter apply only to centralized databases or homogeneous distributed databases. There are other kinds of distributed database systems, however. In particular, a different class of distributed database systems known as federated or multidatabase (see 12) also exists its databases are heterogeneous. For this class of distributed database systems, implementing the concurrency control algorithms that we discussed in this chapter is not practical for various reasons. The rst and foremost issue is that federated and multidatabase systems integrate both relational and nonrelational (e.g., at le based) systems, and these systems do not always expose their transaction management functions (Transaction Begin, Transaction End, Commit, Abort, Lock, Unlock, etc.). As a result, implementation of the concurrency control algorithms mentioned above is not possible. Even for newer relational systems, where the distributed database software has access to the transaction management functions, implementing 2PL negatively affects the sites autonomy and performance. We will look at some of these issues in more detail in 12, and discuss the changes that are necessary to address concurrency control algorithms for federated and multidatabase systems.

E9.4