LEADER 01138nam0 2200265 450 001 000021318 005 20090112104820.0 100 $a20090112d1978----km-y0itay50------ba 101 0 $aita$aeng 102 $aIT 105 $ay-------001yy 200 1 $aDizionario inglese italiano, italiano inglese$eadattamento e ristrutturazione dell'originale "Advanced learners dictionary of current english" della Oxford university press$f[introduzione di Malcolm Skey] 205 $a2. ed. 210 $aTorino$cSEI$d1978 215 $aXXIX, 1894 p.$d25 cm 300 $aLa sezione inglese italiano e basata su: The advanced learners dictionary of current english, 2. ed. / by A. S. Hornby, E. V. Gatenby and H. Wakefield, Oxford, c1963 500 10$aDizionario inglese italiano, italiano inglese$961024 610 1 $aLingua inglese$aDizionari 676 $a423.51$v21$9Lingua inglese. dizionari in italiano 702 1$aSkey,$bMalcolm 801 0$aIT$bUNIPARTHENOPE$c20090112$gRICA$2UNIMARC 912 $a000021318 951 $aG 423.51/1$bG 844$cDSA$d2008 996 $aDizionario inglese italiano, italiano inglese$961024 997 $aUNIPARTHENOPE LEADER 04013nam 22006735 450 001 9910299973303321 005 20250609110709.0 010 $a3-319-11734-3 024 7 $a10.1007/978-3-319-11734-8 035 $a(CKB)3710000000343723 035 $a(SSID)ssj0001424521 035 $a(PQKBManifestationID)11849598 035 $a(PQKBTitleCode)TC0001424521 035 $a(PQKBWorkID)11368889 035 $a(PQKB)11310598 035 $a(DE-He213)978-3-319-11734-8 035 $a(MiAaPQ)EBC6314916 035 $a(MiAaPQ)EBC5578337 035 $a(Au-PeEL)EBL5578337 035 $a(OCoLC)1083463223 035 $a(PPN)183517148 035 $a(MiAaPQ)EBC2001765 035 $a(EXLCZ)993710000000343723 100 $a20150121d2014 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aLinear Models in Matrix Form $eA Hands-On Approach for the Behavioral Sciences /$fby Jonathon D. Brown 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (XIX, 536 p. 77 illus., 28 illus. in color.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-319-11733-5 320 $aIncludes bibliographical references and index. 327 $aMatrix Properties and Operations -- Simple Linear Regression -- Maximum Likelihood Estimation -- Multiple Regression -- Matrix Decompositions -- Problematic Observations -- Errors and Residuals -- Linearizing Transformations and Nonparametric Smoothers -- Cross-Product Terms and Interactions -- Polynomial Regression -- Categorical Predictors -- Factorial Designs -- Analysis of Covariance -- Moderation -- Mediation. 330 $aThis textbook is an approachable introduction to statistical analysis using matrix algebra. Prior knowledge of matrix algebra is not necessary. Advanced topics are easy to follow through analyses that were performed on an open-source spreadsheet using a few built-in functions. These topics include ordinary linear regression, as well as maximum likelihood estimation, matrix decompositions, nonparametric smoothers and penalized cubic splines. Each data set (1) contains a limited number of observations to encourage readers to do the calculations themselves, and (2) tells a coherent story based on statistical significance and confidence intervals. In this way, students will learn how the numbers were generated and how they can be used to make cogent arguments about everyday matters. This textbook is designed for use in upper level undergraduate courses or first year graduate courses. The first chapter introduces students to linear equations, then covers matrix algebra, focusing on three essential operations: sum of squares, the determinant, and the inverse. These operations are explained in everyday language, and their calculations are demonstrated using concrete examples. The remaining chapters build on these operations, progressing from simple linear regression to mediational models with bootstrapped standard errors. 606 $aSocial sciences$xStatistical methods 606 $aPsychometrics 606 $aStatistics 606 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 606 $aPsychometrics 606 $aStatistical Theory and Methods 615 0$aSocial sciences$xStatistical methods. 615 0$aPsychometrics. 615 0$aStatistics. 615 14$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 615 24$aPsychometrics. 615 24$aStatistical Theory and Methods. 676 $a150.1519535 700 $aBrown$b Jonathon D$4aut$4http://id.loc.gov/vocabulary/relators/aut$0525080 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299973303321 996 $aLinear models in matrix form$9822773 997 $aUNINA