LEADER 01106nam0-2200373---450 001 990009643190403321 005 20200729110628.0 010 $a9781441964878 035 $a000964319 035 $aFED01000964319 035 $a(Aleph)000964319FED01 035 $a000964319 100 $a20121107d2010----km-y0itay50------ba 101 0 $aeng 102 $aUS 105 $aa-------001yy 200 1 $aSensory evaluation of food$eprinciples and practices$fHarry T. Lawless, Hildegarde Heymann 205 $a2nd ed. 210 $aNew York [etc.]$cSpringer$d2010 215 $aXXIII, 596 p.$cill.$d27 cm 225 1 $aFood science text series 610 0 $aAlimenti$aAnalisi sensoriale 676 $a664.07$v21$zita 676 $a664.072$v23$zita 700 1$aLawless,$bHarry$078394 701 1$aHeymann,$bHildegarde$0313176 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990009643190403321 952 $a60 664.07 B 140$b14047$fFAGBC 952 $a60 664.072 LAWH 2010$b318/2020$fFAGBC 959 $aFAGBC 996 $aSensory evaluation of food$9709148 997 $aUNINA LEADER 03011nam 2200625 450 001 9910785884603321 005 20230126210511.0 010 $a1-283-89499-8 010 $a1-60649-435-X 024 7 $a10.4128/9781606494356 035 $a(CKB)2670000000245835 035 $a(EBL)1048404 035 $a(OCoLC)808991411 035 $a(SSID)ssj0000739038 035 $a(PQKBManifestationID)12307176 035 $a(PQKBTitleCode)TC0000739038 035 $a(PQKBWorkID)10686792 035 $a(PQKB)10276083 035 $a(OCoLC)808991413 035 $a(CaBNVSL)swl00401166 035 $a(Au-PeEL)EBL1048404 035 $a(CaPaEBR)ebr10594649 035 $a(CaONFJC)MIL420749 035 $a(CaSebORM)9781606494349 035 $a(MiAaPQ)EBC1048404 035 $a(EXLCZ)992670000000245835 100 $a20190118d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aRegression analysis $eunderstanding and building business and economic models using Excel /$fJ. Holton Wilson, Barry P. Keating, and Mary Beal 205 $a1st ed. 210 1$aNew York, NY :$cBusiness Expert Press,$d2012. 215 $a1 online resource (192 p.) 225 1 $aThe quantitative approaches to decision making collection 300 $aIncludes index. 311 $a1-60649-434-1 327 $a1. Background issues for regression analysis -- 2. Introduction to regression analysis -- 3. The ordinary least squares (OLS) regression model -- 4. Evaluation of ordinary least squares (OLS) regression models -- 5. Point and interval estimates from a regression model -- 6. Multiple linear regression -- 7. A market share multiple regression model -- 8. Qualitative events and seasonality in multiple regression models -- 9. Nonlinear regression models -- 10. Abercrombie & Fitch Co. regression case study -- 11. The formal ordinary least squares (OLS) regression model -- Appendix. Some statistical background -- Index. 330 3 $aThis book covers essential elements of building and understanding regression models in a business/economic context in an intuitive manner. The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for almost everyone engaged in the field. It is especially useful for those engaged in working with numbers - preparing forecasts, budgeting, estimating the effects of business decisions, and any of the forms of analytics that have recently become so useful. 410 0$aQuantitative approaches to decision making collection. 606 $aRegression analysis 615 0$aRegression analysis. 676 $a650.02855369 700 $aWilson$b J. Holton$01124228 702 $aKeating$b Barry P. 702 $aHodges$b Mary 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910785884603321 996 $aRegression analysis$93680600 997 $aUNINA