01499nam2-2200409---450-99000315190020331620080929110357.0978-3-540-85208-7000315190USA01000315190(ALEPH)000315190USA0100031519020080929d2008----km-y0itay0103----baengDEa|||||||001yyAd-hoc, mobile, and wireless networks7th international conference, ADHOC-NOW 2008Sophia-Antipolis, France, September 10-12, 2008ProceedingsDavid Coudert, David Simplot-Ryl, Ivan Stojmenovic (Eds.)Berlin [etc.]Springercopyr. 2008XII, 498 p.ill.24 cmLecture notes in computer science51982001Lecture notes in computer science0010003149602001Lecture notes in computer scienceReti di elaboratoriCongressiSophia-Antipolis2008006.2COUDERT,DavidSIMPLOT-RYL,DavidSTOJMENOVIC,IvanInternational conference, ADHOC-NOW 2008<7. ;2008 ;Sophia-Antipolis>602304ITAsalbcISBD990003151900203316001 LNCS 519837453/CBS00100217804BKSCICBAS1020080929USA010836CBAS1020080929USA011103Ad-hoc, mobile, and wireless networks1018337UNISA01797nam 2200421Ia 450 991069613800332120071002094829.0(CKB)5470000002375432(OCoLC)173609608(EXLCZ)99547000000237543220071002d2007 ua 0engurmn|||||||||txtrdacontentcrdamediacrrdacarrierExport controls[electronic resource] vulnerabilities and inefficiencies undermine system's ability to protect U.S. interests : testimony before the Subcommittee on Terrorism, Nonproliferation, and Trade, Committee on Foreign Affairs, House of Representatives /statement of Ann Calvaresi-Barr[Washington, D.C.] :U.S. Govt. Accountability Office,[2007]34 pages digital, PDF fileTestimony ;GAO-07-1135 TTitle from title screen (viewed on Sept. 20, 2007)."For release ... July 26, 2007."Paper version available from: U.S. Govt. Accountability Office, 441 G St., NW, Rm. LM, Washington, D.C. 20548.Includes bibliographical references.Export controls ExportsUnited StatesTechnology transferGovernment policyUnited StatesExportsTechnology transferGovernment policyBarr Ann Calvaresi1381575United States.Congress.House.Committee on Foreign Affairs.Subcommittee on Terrorism, Nonproliferation, and Trade.United States.Government Accountability Office.GPOGPOBOOK9910696138003321Export controls3461738UNINA05408nam 22006495 450 991030014770332120250411111018.01-4614-9041-310.1007/978-1-4614-9041-8(CKB)3710000000078556(Springer)9781461490418(MH)013879505-3(SSID)ssj0001067745(PQKBManifestationID)11538470(PQKBTitleCode)TC0001067745(PQKBWorkID)11092891(PQKB)10296668(DE-He213)978-1-4614-9041-8(MiAaPQ)EBC3095782(PPN)176100377(EXLCZ)99371000000007855620131115d2014 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierNonparametric Statistics for Applied Research /by Jared A. Linebach, Brian P. Tesch, Lea M. Kovacsiss1st ed. 2014.New York, NY :Springer New York :Imprint: Springer,2014.1 online resource (XII, 408 p. 23 illus., 17 illus. in color.)online resourceBibliographic Level Mode of Issuance: Monograph1-4614-9040-5 Includes bibliographical references (pages 403-404) and index.Introduction -- Meeting the Team -- Questions, Assumptions, and Decisions.- Understanding Similarity -- The Bourgeoisie, the Proletariat, and an Unwelcomed Press Conference -- Agreeing to Disagree -- Guesstimating the Fluffy-Maker -- X Marks the Spot Revisited -- Let My People Go! -- Here's Your Sign and the Neighborhood Bowling League -- Geometry on Steroids -- Crunch Time.- Presentation. .Non-parametric methods are widely used for studying populations that take on a ranked order (such as movie reviews receiving one to four stars). The use of non-parametric methods may be necessary when data have a ranking but no clear numerical interpretation, such as when assessing preferences. In terms of levels of measurement, non-parametric methods result in "ordinal" data. As non-parametric methods make fewer assumptions, their applicability is much wider than the corresponding parametric methods. In particular, they may be applied in situations where less is known about the application in question. Also, due to the reliance on fewer assumptions, non-parametric methods are more robust. Non-parametric methods have many popular applications, and are widely used in research in the fields of the  behavioral sciences and biomedicine. This is a textbook  on non-parametric statistics for applied research. The authors propose to use a realistic yet mostly fictional situation and series of dialogues to illustrate in detail the statistical processes required to complete data analysis.  This book draws on a readers existing elementary knowledge of statistical analyses to broaden his/her research capabilities.  The material within the book is covered in such a way that someone with a very limited knowledge of statistics would be able to read and understand the concepts detailed in the text. The “real world” scenario to be presented involves a multidisciplinary team of behavioral, medical, crime analysis, and policy analysis professionals work together to answer specific empirical questions regarding real-world applied problems.  The reader is introduced to the team and the data set, and through the course of the text follows the team as they progress through the decision making process of narrowing the data and the research questions to answer the applied problem.  In this way, abstract statistical concepts are translated intoconcrete and specific language. This text uses one data set from which all examples are taken.  This is radically different from other statistics books which provide a varied array of examples and data sets.  Using only one data set facilitates reader-directed teaching and learning by providing multiple research questions which are integrated rather than using disparate examples and completely unrelated research questions and data.StatisticsSocial sciencesStatistical methodsBiometryStatistical Theory and MethodsStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public PolicyBiostatisticsStatistics.Social sciencesStatistical methods.Biometry.Statistical Theory and Methods.Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.Biostatistics.519.5Linebach Jared A.authttp://id.loc.gov/vocabulary/relators/aut721726Tesch Brian P.authttp://id.loc.gov/vocabulary/relators/autKovacsiss Lea M.authttp://id.loc.gov/vocabulary/relators/autBOOK9910300147703321Nonparametric Statistics for Applied Research2536501UNINAThis Record contains information from the Harvard Library Bibliographic Dataset, which is provided by the Harvard Library under its Bibliographic Dataset Use Terms and includes data made available by, among others the Library of Congress