Monotony relations between distribution functions and their application to experimental design

References

• Bandemer , H. , ed. 1977 . Theorie und Anwendung der optimalen Versuchsplanung , Vol. 1 , Berlin : Akademie-Verlag .
   Google Scholar
• Bandemer , H. , Bellmann , A. , Jung , W. and Richter , K. 1976 . Optimale Versuchs-planung , Berlin : Akademie-Verlag .
   Google Scholar
• Blattberg , R. and Sargent , T. 1971 . Regression with non-Gaussian stable disturbances:some sampling results . Econometrica , 39 : 501 – 510 .
   Web of Science ®Google Scholar
• Fedorov , V.V. 1971 . Teorija optimal'nogo eksperimenta , Moskva : Nauka .
   Google Scholar
• Kadiyala , K.R. 1972 . Regression with non-Gaussian stable disturbances: some sampling results . Econometrica , 40 : 719 – 722 .
   Web of Science ®Google Scholar
• Kiefer , J. 1959 . Optimum experimental designs . J. Roy. Statist. Soc.B , 21 : 272 – 319 .
   Google Scholar
• Laycock , P.J. 1972 . Convex loss applied to design in regression problems . J.Roy.Statist.Soc B , 34 : 148 – 186 . with discussion
   Google Scholar
• Näther , W. 1975 . Semi-orderings between distribution functions and their apllication to robustness of parameter estimators . Math. Operationsforsch. Statist , 6 : 179 – 188 .
   Google Scholar
• Näther , W. 1975 . The choice of estimators and experimental designs in a linear regression model according to a joint criterion of optimality . Math.Operationsforsch.Statist , 6 : 677 – 686 .
   Google Scholar
• Stoyan , D. 1972 . Über einige Eigenschaften monotoner stochastischer Prozesse . Math. Nachr , 52 : 21 – 34 .
   Web of Science ®Google Scholar
• Stoyan , D. 1972 . Halbordnungsrelationen für Verteilungsgesetze . Math.Nachr , 52 : 315 – 331 .
   Web of Science ®Google Scholar