Unbiased Design of Experiments in a Hilbert Space
E. V. Sedunov, N. G. Sidorenko · Theory of Probability and Its Applications · 1988
Previous article Next article Unbiased Design of Experiments in a Hilbert SpaceE. V. Sedunov and N. G. SidorenkoE. V. Sedunov and N. G. Sidorenkohttps://doi.org/10.1137/1132112PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout[1] S. M. Ermakov, , V. Z. Brodskii, , A. A. Zhiglyavskii, , V. P. Kozlov, , M. V. Malyutov, , V. B. Mellas, , E. V. Sedunov and , V. V. Fedorov, Mathematical theory of the Design of Experiment, Nauka, Moscow, 1983, (In Russian.) Google Scholar[2] S. M. Ermakov, The optimal unbiased plans of regression experiments, Trudy Mat. Inst. Steklov., 111 (1970), 252–257, (In Russian.) 44:7684 0281.62076 Google Scholar[3] E. V. Sedunov, Unbiased design and analysis of regression experiments in finite-dimensional spaces of functionsMathematical methods for the design of experiments (Russian), “Nauka” Sibirsk. Otdel., Novosibirsk, 1981, 102–140, 254 83e:62099 0536.62059 Google Scholar[4] V. P. Kozlov, The design of regression experiments in function spacesMathematical methods for the design of experiments (Russian), “Nauka” Sibirsk. Otdel., Novosibirsk, 1981, 74–101, 254 83c:62117 Google Scholar[5] E. V. Sedunov and , N. G. Sidorenko , Unbiased design of experiments in a Hilbert space with limited resources , 1985 , Deposited in the Vsesoyuznyi Institut Nanchnoi; Tekhnicheskoi Informatsii, No. 1069–84, 1985. (In Russian.) Google Scholar Previous article Next article FiguresRelatedReferencesCited byDetails Randomization of Conditions in a Regression Experiment for Functional Measurement ModelsE. V. Sedunov and A. V. Lipin17 July 2006 | Theory of Probability & Its Applications, Vol. 37, No. 4AbstractPDF (766 KB) Volume 32, Issue 4| 1988Theory of Probability & Its Applications History Submitted:03 October 1983Published online:17 July 2006 InformationCopyright © 1987 Society for Industrial and Applied MathematicsPDF Download Article & Publication DataArticle DOI:10.1137/1132112Article page range:pp. 734-738ISSN (print):0040-585XISSN (online):1095-7219Publisher:Society for Industrial and Applied Mathematics