01185nam--2200385---450-99000614976020331620160601175350.088-85685-54-4000614976USA01000614976(ALEPH)000614976USA0100061497620160601d1991----km-y0itay50------baitaIT||||||||001yy<<Il>> senso dell'architettura ovvero l'evoluzione del sapere occidentaleLeonardo Previintroduzione di Carlo SiniMilanoTranchidacopyr. 1991243 p.21 cmDiscipline62001DisciplineArchitetturaTeorie720.108PREVI,Leonardo716158SINI,CarloITsalbcISBD990006149760203316720.108 PRE1384 Crd.72000331263BKCRDPAOLA9020160601USA011747PAOLA9020160601USA011748PAOLA9020160601USA011753Senso dell'architettura ovvero l'evoluzione del sapere occidentale1387194UNISA03986nam 22006015 450 991030010570332120250505004548.09783319989266331998926X10.1007/978-3-319-98926-6(CKB)4100000007111066(MiAaPQ)EBC5592882(DE-He213)978-3-319-98926-6(PPN)232473935(EXLCZ)99410000000711106620181102d2018 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierThe Measurement of Association A Permutation Statistical Approach /by Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke, Jr1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (647 pages)9783319989259 3319989251 1 Introduction -- 2 Permutation Statistical Methods -- 3 Nominal Level Variables, I -- 4 Nominal Level Variables, II -- 5 Ordinal Level Variables, I -- 6 Ordinal Level Variables, II -- 7 Interval-level Variables -- 8 Mixed-level Variables -- 9 Fourfold Contingency Tables, I -- 10 Fourfold Contingency Tables, II -- Epilogue -- References -- Index.This research monograph utilizes exact and Monte Carlo permutation statistical methods to generate probability values and measures of effect size for a variety of measures of association. Association is broadly defined to include measures of correlation for two interval-level variables, measures of association for two nominal-level variables or two ordinal-level variables, and measures of agreement for two nominal-level or two ordinal-level variables. Additionally, measures of association for mixtures of the three levels of measurement are considered: nominal-ordinal, nominal-interval, and ordinal-interval measures. Numerous comparisons of permutation and classical statistical methods are presented. Unlike classical statistical methods, permutation statistical methods do not rely on theoretical distributions, avoid the usual assumptions of normality and homogeneity of variance, and depend only on the data at hand. This book takes a unique approach to explaining statistics by integrating a large variety of statistical methods, and establishing the rigor of a topic that to many may seem to be a nascent field. This topic is relatively new in that it took modern computing power to make permutation methods available to those working in mainstream research. Written for a statistically informed audience, it is particularly useful for teachers of statistics, practicing statisticians, applied statisticians, and quantitative graduate students in fields such as psychology, medical research, epidemiology, public health, and biology. It can also serve as a textbook in graduate courses in subjects like statistics, psychology, and biology.StatisticsMathematical statisticsData processingBiometryDiscrete mathematicsStatistical Theory and MethodsStatistics and ComputingBiostatisticsDiscrete MathematicsStatistics.Mathematical statisticsData processing.Biometry.Discrete mathematics.Statistical Theory and Methods.Statistics and Computing.Biostatistics.Discrete Mathematics.519.5Berry Kenneth Jauthttp://id.loc.gov/vocabulary/relators/aut148872Johnston Janis Eauthttp://id.loc.gov/vocabulary/relators/autMielke Jr., Paul Wauthttp://id.loc.gov/vocabulary/relators/autBOOK9910300105703321The Measurement of Association2235885UNINA