Linear Binary Two-Sample Tests for Shift Alternatives
G. V. Martynov · Theory of Probability and Its Applications · 1969
Previous article Next article Linear Binary Two-Sample Tests for Shift AlternativesG. V. MartynovG. V. Martynovhttps://doi.org/10.1137/1114020PDFBibTexSections ToolsAdd to favoritesExport CitationTrack CitationsEmail SectionsAbout[1] B. L. van der Waerden, Mathematische Statistik, Springer-Verlag, Berlin, 1957ix+360 MR0083850 0077.12901 Google Scholar[2] D. A. S. Fraser, Nonparametric methods in statistics, John Wiley & Sons Inc., New York, 1957x+299 MR0083868 0077.12903 Google Scholar[3] E. Lehmann, Testing statistical hypotheses, John Wiley, New York, 1960 Google Scholar[4] Gottfried E. Noether, On a theorem of Pitman, Ann. Math. Statist., 26 (1955), 64–68 MR0070122 0066.12001 CrossrefGoogle Scholar[5] D. van Dantzig, Consistency and power of the Wilcoxon test, Proc. Kon. Ned. Akad., A54 (1951), 1–8, Amsterdam (Section of Sciences) Google Scholar[6] J. L. Hodges, Jr. and , E. L. Lehmann, The efficiency of some nonparametric competitors of the t-test, Ann. Math. Statist., 27 (1956), 324–335 MR0079383 0075.29206 CrossrefGoogle Scholar[7] L. A. Lyusternik and , V. I. Sobolev, Elements of Functional Analysis, “Nauka”, Moscow, 1965, (In Russian.) 0096.07802 Google Scholar Previous article Next article FiguresRelatedReferencesCited byDetails Volume 14, Issue 1| 1969Theory of Probability & Its Applications History Submitted:13 December 1966Published online:17 July 2006 InformationCopyright © Society for Industrial and Applied MathematicsPDF Download Article & Publication DataArticle DOI:10.1137/1114020Article page range:pp. 158-163ISSN (print):0040-585XISSN (online):1095-7219Publisher:Society for Industrial and Applied Mathematics