LEADER 00884nam0-22003011i-450- 001 990008024820403321 005 20110421163618.0 010 $a88-14-09348-2 035 $a000802482 035 $aFED01000802482 035 $a(Aleph)000802482FED01 035 $a000802482 100 $a20050316d2001----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $aMorte del disponente e autonomia negoziale$fVincenzo Putortì 210 $aMilano$cGiuffrè$d2001 215 $a266 p.$d24 cm 225 1 $aPubblicazioni della Facoltà di giurisprudenza, Università di Firenze$v83 700 1$aPutortì,$bVincenzo$0497075 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008024820403321 952 $a18-A-191$b13569$fDDCP 959 $aDDCP 996 $aMorte del disponente e autonomia negoziale$9754873 997 $aUNINA LEADER 00928nam a2200253 i 4500 001 991001717189707536 005 20020503152830.0 008 000505s1974 fr ||| | fre 035 $ab10262908-39ule_inst 035 $aEXGIL90361$9ExL 040 $aBiblioteca Interfacoltà$bita 082 0 $a833.7 100 1 $aBandet, Jean Louis$0465521 245 10$aAdalbert Stifter :$bintroduction à la lecture de ses nouvelles /$cJean Louis Bandet 260 $a[S.l.] :$bC. 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Introduction to regression and correlation analysis -- 2. Regression, covariance, and coefficient of correlation -- 3. Illustration of least squares regression method -- 4. Regression analysis using a computer -- 5. Multiple regression: computer analysis -- 6. Model building and computer analysis -- 7. Models with qualitative independent (dummy) variables, interaction models, all subset and stepwise regression models with computer analysis -- 8. Notes on implementation of regression models -- Bibliography -- Index. 330 3 $aThis book creates a balance between the theory, practical applications, and computer implementation behind Regression--one of the most widely used techniques in analyzing and solving real world problems. The book begins with a thorough explanation of prerequisite knowledge with a discussion of Simple Regression Analysis including the computer applications. This is followed by Multiple Regression--a widely used tool to predict a response variable using two or more predictors. Since the analyses of regression models involve tedious and complex computations, complete computer analysis including the interpretation of multiple regression problems along with the model adequacy tests and residual analysis using widely used computer software are presented. The use of computers relieves the analyst of tedious, repetitive calculations, and allows one to focus on creating and interpreting successful models. Finally, the book extends the concepts to Regression and Modeling. Different models that provide a good fit to a set of data and provide a good prediction of the response variable are discussed. Among models discussed are the nonlinear, higher order, and interaction models, including models with qualitative variables. Computer analysis and interpretation of computer results are presented with real world applications. We also discuss all subset regression and stepwise regression with applications. Several flow charts are presented to illustrate the concepts. The statistical concepts for regression, computer instructions for the software-- Excel and MINITAB--used in the book and all of the data files used can be downloaded from the website link provided. 410 0$aQuantitative approaches to decision making collection.$x2163-9582 606 $aRegression analysis$xData processing 610 $acoefficient of correlation 610 $acorrelation 610 $adependent variable 610 $adummy variable 610 $aindependent variable 610 $ainteraction model 610 $aleast squares estimates 610 $aleast squares prediction equation 610 $alinear regression 610 $amultiple coefficient of determination 610 $amultiple regression and modeling 610 $anonlinear models 610 $aregression line 610 $aresidual analysis 610 $ascatterplot 610 $asecond-order model 610 $astepwise regression 615 0$aRegression analysis$xData processing. 676 $a519.536 700 $aSahay$b Amar.$0881364 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910822169603321 996 $aApplied regression and modeling$94017166 997 $aUNINA