LEADER 00988cam0 22002773i 450 001 996432547303316 005 20220228112255.0 100 $a20210812d1983----km y0itay5003 ba 101 0 $aspa 102 $aIT 105 $ay 00 y 200 1 $aDante en la Argentina$fAlma Novella Marani 210 $aRoma$cBulzoni$d1983 215 $a96 p.$d24 cm 225 2 $aQuaderni della ricerca$fUniversità degli studi di Milano, Facoltà di lettere, Cattedra di letteratura ispano-americana$v1 410 0$12001$aQuaderni della ricerca$fUniversità degli studi di Milano, Facoltà di lettere, Cattedra di letteratura ispano-americana$v1 604 $aAlighieri, Dante$tDivina Commedia$xFortuna$yArgentina$2BNCF 676 $a851.1 700 1$aMARANI,$bAlma Novella$0210241 801 0$aIT$bcba$gREICAT 912 $a996432547303316 951 $aVI.7.B. 3518$b03802 ISLA$cVI.7.$d548636 959 $aBK 969 $aISLA 996 $aDante en la Argentina$91670684 997 $aUNISA LEADER 04481nam 2200721 450 001 9910822169603321 005 20200520144314.0 010 $a1-63157-330-6 035 $a(CKB)3710000000731574 035 $a(BEP)4560113 035 $a(OCoLC)953642573 035 $a(CaBNVSL)swl00406720 035 $a(Au-PeEL)EBL4560113 035 $a(CaPaEBR)ebr11225272 035 $a(CaONFJC)MIL933208 035 $a(OCoLC)956133125 035 $a(CaSebORM)9781631573309 035 $a(MiAaPQ)EBC4560113 035 $a(EXLCZ)993710000000731574 100 $a20160715d2016 fy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aApplied regression and modeling $ea computer integrated approach /$fAmar Sahay 205 $aFirst edition. 210 1$aNew York, New York (222 East 46th Street, New York, NY 10017) :$cBusiness Expert Press,$d2016. 215 $a1 online resource (xi, 195 pages) 225 1 $aQuantitative approaches to decision making collection,$x2163-9582 311 $a1-63157-329-2 320 $aIncludes bibliographical references (page [191]) and index. 327 $a1. 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