000			01614nam a2200217Ia 4500
003			NULRC
005			20250520100534.0
008			250520s9999 xx 000 0 und d
020			_a047161971X
040			_cNULRC
050			_aQA 279 .P85 1993
100			_aPukelsheim, Friedrich _eauthor
245		0	_aOptimal design of experiments / _cFriedrich Pukelsheim
260			_aNew York : _bJohn Wiley & Son, Inc., _cc1993
300			_axxiii, 454 pages; _c24 cm.
504			_aIncludes bibliographical references and index.
505			_aChapter1. Experimental design -- Chapter2.Optimal designs for scalar parameter system -- Chapter3. Information matrices -- Chapter4. Loewner optimality -- Chapter5. Real Optimality criteria -- Chapter6. Matrix means -- Chapter7. The general equivalence theorem -- Chapter8. Optimal moment matrices and optimal designs -- Chapter9. D-,A-,E-,T-optimality -- Chapter10. Admissibility of moment and information matrices -- Chapter11. Bayes designs and discrimination designs -- Chapter12. Efficient designs for finite sample -- Chapter13. Invariant design problem -- Chapter14. Kiefer optimality -- Chapter15. Rotatability and response surface designs .
520			_aThe design problems originate from statistics, but are solved using special tools from linear algebra and convex analysis, such as the information matrix mapping of chapter 3 and the information function of chapter 5. It is hoped that the exposition conveys some of the fascinate that grows out of merging three otherwise distinct mathematical disciplines.
650			_aEXPERIMENTAL DESIGN
942			_2lcc _cBK
999			_c7247 _d7247