000 02441nam a2200301 a 4500
999 _c22056
_d22056
003 arcduce
005 20220419223824.0
008 100809s1997 nyu||||| |||| 00| 0 eng d
020 _a0387982159
040 _aarcduce
_carcduce
082 0 _a519.5
100 1 _aFedorov, Valerii Vadimovich
245 1 0 _aModel-oriented design of experiments /
_cValerii V. Fedorov, Peter Hackl.
260 _aNew York, N.Y. :
_bSpringer,
_c1997
300 _a117 p.
490 0 _aLecture notes in statistics ;
_vno. 125
504 _aBibliografía: p. 111-112
505 _aPreface -- Introduction -- 1. Some facts from regression analysis -- 2. Convex design theory -- 3. Numerical techniques -- 4.Optimal design under constraints -- 5. Special cases and applications -- Some results from matrix algebra -- List of symbols.
520 3 _aThese lecture notes are based on the theory of experimental design for courses given by Valerii Fedorov at a number of places, most recently at the University of Minnesota, the Vienna of University, and the University of Economics and Business Administra­ tion in Vienna. It was Peter Hackl's idea to publish these lecture notes and he took the lead in preparing and developing the text. The work continued longer than we expected, and we realized that a few thousand miles distance remains a serious hurdle even in the age of Internet and many electronic gadgets. While we mainly target graduate students in statistics, the book demands only a moderate background in calculus, matrix algebra and statistics. These are, to our knowledge, provided by almost any school in business and economics, natural sciences, or engineering. Therefore, we hope that the material may be easily understood by a relatively broad readership. The book does not try to teach recipes for the construction of experimental de­ signs. It rather aims at creating some understanding - and interest - in the problems and basic ideas of the theory of experimental design. Over the years, quite a number of books have been published on that subject with a varying degree of specialization. This book is organized in four chapters that layout in a rather compact form all.
650 4 _aANALISIS DE REGRESION
650 4 _aDISEÑO EXPERIMENTAL
_91190
650 4 _aESTUDIOS DE CASOS
653 _aAPLICACIONES
653 _aCASOS PRACTICOS
700 1 _aHackl, Peter
942 _cLIBR
_j519.5 F 51254
_2ddc
945 _aBEA