By Martijn P.F. Berger, Weng-Kee Wong
There's an expanding have to rein within the expense of medical examine with no sacrificing accuracy in statistical inference. optimum layout is the really apt allocation of assets to accomplish the goals of experiences utilizing minimum fee through cautious statistical making plans. Researchers and practitioners in a number of fields of utilized technology at the moment are commencing to realize the benefits and capability of optimum experimental layout. utilized optimum Designs is the 1st booklet to catalogue the applying of optimum layout to genuine difficulties, documenting its frequent use throughout disciplines as varied as drug improvement, schooling and floor water modelling.
Includes contributions covering:
- Bayesian layout for measuring cerebral blood-flow
- Optimal designs for organic models
- Computer adaptive testing
- Ground water modelling
- Epidemiological reviews and pharmacological models
utilized optimum Designs bridges the space among conception and perform, drawing jointly a range of incisive articles from reputed collaborators. vast in scope and inter-disciplinary in attraction, this e-book highlights the diversity of possibilities on hand by using optimum layout. the big variety of functions offered the following should still attract statisticians operating with optimum designs, and to practitioners new to the speculation and ideas concerned.
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Additional info for Applied Optimal Designs
Wingersky, M. S. and Lord, F. M. (1984). An investigation of methods for reducing sampling error in certain IRT procedures. Applied Psychological Measurement, 8, 347–364. Wynn, H. P. (1970). The sequential generation of D-optimum experimental designs. Annals of Mathematical Statistics, 41, 1655–1664. 2 Optimal On-line Calibration of Testlets Douglas H. Jones1 and Mikhail S. 1 Introduction Several large-scale testing agencies have testing formats that include several related questions tied to a passage or common stem, also called a testlet.
They found that about 30% more items calibrated by optimal design than by a random sample were acceptably close to the true item characteristics, as measured by the weighted Hellinger deviance, a measure of the distance between the item response functions of the estimated and the true items. D-optimal solutions to item calibration designs are in fact locally optimal designs, because of the dependence of the information matrix on the item parameters. Berger et al. (2000), working with the nominal response model, also addressed the issue of designs for calibrating items using a minimax D-optimality criterion.
Journal of Educational Statistics, 15, 129–145. Buyske, S. G. (1998a). Optimal design for item calibration in computerized adaptive testing: the 2PL case. , Rosenberger, W. F. and Wong, W. K (eds), New Developments and Applications in Experimental Design. Berkeley: Institute of Mathematical Statistics. Buyske, S. G. (1998b). Optimal designs for item calibration in computerized adaptive testing. D. dissertation, Rutgers University. Chang, H. H. and Ying, Z. (1996). A global information approach to computerized adaptive testing.