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, Mk , Ms, in which M0 is a suitably defined null model (eg, a model in which each measured variable is an independent factor so that the reproduced matrix is diagonal); Ms is the saturated model, with df = 0; and Mi, Mj, and Mk are models with positive df of intermediate complexity Any two models are nested so long as the set of parameters estimated in the more restrictive model is a subset of the parameters estimated in the less restrictive model Under appropriate assumptions, the difference in 2s between two nested models has a 2 distribution and so can be tested in relation to statistical significance Ironically, current practice seems to reject the usefulness of tests of statistical significance for purposes of evaluating a single model, but to endorse the usefulness of statistical significance for purposes of evaluating the difference between two nested models.

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Thorndike, E. L. (1911). Animal intelligence: Experimental studies. New York: Macmillan. Thorpe, W. H. (1979). The origins and rise of ethology: The science of the natural behaviour of animals. London: Praeger. Timberlake, W. (1990). Natural learning in laboratory paradigms. In D. A. Dewsbury (Ed.), Contemporary issues in comparative psychology (pp. 31 54). Sunderland, MA: Sinauer. Tuber, D. S., Hothersall, D., & Voith, V. L. (1974). Animal clinical psychology: A modest proposal. American Psychologist, 29, 762 766. Vauclair, J. (1996). Animal cognition: An introduction to modern comparative psychology. Cambridge, MA: Harvard University Press. Warden, C. J. (1931). Animal motivation: Experimental studies on the albino rat. New York: Columbia University Press. Warden, C. J., Jenkins, T. N., & Warner, L. H. (1935). Comparative psychology: A comprehensive treatise. Volume I: Principles and methods. New York: Ronald. Warden, C. J., Jenkins, T. N., & Warner, L. H. (1936). Comparative psychology: A comprehensive treatise. Volume III: Vertebrates. New York: Ronald. Warden, C. J., Jenkins, T. N., & Warner, L. H. (1940). Comparative psychology: A comprehensive treatise. Volume II: Plants and invertebrates. New York: Ronald. Washburn, D. A., Rumbaugh, D. M., & Richardson, W. K. (1998). Apparatus in comparative psychology. In G. Greenberg & M. M. Haraway (Eds.), Comparative psychology: A handbook (pp. 221 225). New York: Garland. Washburn, M. F. (1908). The animal mind. New York: Macmillan. Washburn, M. F., & Bentley, I. M. (1906). The establishment of an association involving color-discrimination in the creek chub. Journal of Comparative Psychology and Neurology, 16, 113 125.

However, this may end up starving flows for long periods of time when a backlogged flow perceives channel error for a long time Of course, we can bound the amount of compensation that a flow can receive, but that still does not prevent pathological cases in which a single backlogged flow among a large set of backlogged flows perceives a clean channel over a time window, and is then starved out for a long time until all the other lagging flows catch up In particular, the compensation model must provide for a graceful degradation of service for leading flows while they give up their lead 8243 Centralized versus Distributed Scheduling In a cell, hosts are only guaranteed to be within the range of the base station and not other hosts, and all transmissions are either uplink or downlink.

Thus, the base station is the only logical choice for the scheduling entity in a cell, making the scheduling centralized However, although the base station has full knowledge of the current state of each downlink flow (ie, whether it is backlogged, and the arrival times of the packets), it has limited and imperfect knowledge of the current state of each uplink flow In a centralized approach, the base station has to rely on the mobile hosts to convey uplink state information for scheduling purposes, which adds to control overhead for the underlying medium access protocol In a distributed approach, every host with some backlogged flows (including the base station) will have imperfect knowledge of other hosts flows.