01365nam2-2200433---450-99000028889020331620050628131924.084-7423-802-10028889USA010028889(ALEPH)000028889USA01002888920001113d1997----km-y0itay0103----baspaES||||||||001yyCastillaediciòn de Miguel Angel Pérez Priego2BarcelonaCrìticacopyr.1997215 p.20 cmPàginas de Biblioteca clàsica2001Pàginas de Biblioteca clàsica00100288882001Teatro medievalLetteratura drammatica spagnolaMedioevo862.108PÉREZ PRIEGO,Miguel AngelITsalbcISBD990000288890203316XIII.1.B. 133/2(II sp C 317/2)155250 L.M.II sp00007806II sp C 317/2 bis155251 L.M.II sp C00007805BKUMATAMI4020001113USA011127TAMI4020001113USA011129CHIARA9020020218USA01160320020403USA011637PATRY9020040406USA011620COPAT79020050628USA011319Castilla880401UNISA01859oam 2200469 a 450 991069748680332120081002161806.0(CKB)5470000002388071(OCoLC)62295225(EXLCZ)99547000000238807120051117d2005 ua 0engurmn|||||||||txtrdacontentcrdamediacrrdacarrierInstream flow characterization of upper Salmon River basin streams, central Idaho, 2004[electronic resource] /by Terry R. Maret, Jon E. Hortness, and Douglas S. Ott ; prepared in cooperation with the Bureau of ReclamationReston, Va. :U.S. Dept. of the Interior, U.S. Geological Survey,2005.x, 122 pages digital, PDF fileScientific investigations report ;2005-5212Title from PDF title screen (viewed on Nov. 16, 2005).Includes bibliographical references (pages 55-58).StreamflowIdahoSalmon River WatershedWater temperatureIdahoSalmon River WatershedFishesHabitatIdahoSalmon River WatershedWater diversionEnvironmental aspectsIdahoSalmon River WatershedStreamflowWater temperatureFishesHabitatWater diversionEnvironmental aspectsMaret Terry R1382739Hortness Jon E1380955Ott Douglas S1383833United States.Bureau of Reclamation.Geological Survey (U.S.)GISGISGPOBOOK9910697486803321Instream flow characterization of upper Salmon River basin streams, central Idaho, 20043445558UNINA03757nam 22006135 450 991057404110332120250331003725.09789811927089(electronic bk.)978981192707210.1007/978-981-19-2708-9(MiAaPQ)EBC7007405(Au-PeEL)EBL7007405(CKB)23114204100041EBL7007405(AU-PeEL)EBL7007405(PPN)269148965(DE-He213)978-981-19-2708-9(EXLCZ)992311420410004120220531d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMultiple Comparisons for Bernoulli Data /by Taka-aki Shiraishi1st ed. 2022.Singapore :Springer Nature Singapore :Imprint: Springer,2022.1 online resource (121 pages)JSS Research Series in Statistics,2364-0065Includes index.Print version: Shiraishi, Taka-aki Multiple Comparisons for Bernoulli Data Singapore : Springer,c2022 9789811927072 Theoretical Basics in One-Sample and Two-Sample Models -- Simultaneous Inference for All Proportions -- All-Pairwise Comparison Tests -- Multiple Comparison Tests with a Control -- Simultaneous Confidence Intervals -- All-Pairwise Comparisons under Simple Order Restrictions -- Comparisons with a Control and Successive Comparisons under Simple Order Restrictions -- Comparisons with a Control and Successive Comparisons under Simple Order Restrictions -- Hybrid Serial Gatekeeping Procedures for Multiple Comparisons With a Control.This book focuses on multiple comparisons of proportions in multi-sample models with Bernoulli responses. First, the author explains the one-sample and two-sample methods that form the basis of multiple comparisons. Then, regularity conditions are stated in detail. Simultaneous inference for all proportions based on exact confidence limits and based on asymptotic theory is discussed. Closed testing procedures based on some one-sample statistics are introduced. For all-pairwise multiple comparisons of proportions, the author uses arcsine square root transformation of sample means. Closed testing procedures based on maximum absolute values of some two-sample test statistics and based on chi-square test statistics are introduced. It is shown that the multi-step procedures are more powerful than single-step procedures and the Ryan–Einot–Gabriel–Welsch (REGW)-type tests. Furthermore, the author discusses multiple comparisons with a control. Under simple ordered restrictions of proportions, the author also discusses closed testing procedures based on maximum values of two-sample test statistics and based on Bartholomew's statistics. Last, serial gatekeeping procedures based on the above-mentioned closed testing procedures are proposed although Bonferroni inequalities are used in serial gatekeeping procedures of many.JSS Research Series in Statistics,2364-0065StatisticsStatisticsBiometryApplied StatisticsStatistical Theory and MethodsBiostatisticsStatistics.Statistics.Biometry.Applied Statistics.Statistical Theory and Methods.Biostatistics.519.5Shiraishi Taka-aki782100MiAaPQMiAaPQMiAaPQ9910574041103321Multiple Comparisons for Bernoulli Data2869526UNINA