LEADER 00992nam a2200205 i 4500 001 991003291089707536 008 161021s2015 it m ||| | ita d 035 $ab1431048x-39ule_inst 040 $aBibl. Dip.le Aggr. Matematica e Fisica - Sez. Fisica$beng 100 1 $aCapone, Federico$0785116 245 10$aGravità newtoniana in spazi curvi :$bcalcolo della precessione del perielio di un pianeta. Tesi di laurea in Fisica /$claureando Federico Capone ; relatore Francesco De Paolis 260 $aLecce :$bUniversità del Salento. Facoltà di Scienze. Corso di laurea triennale in Fisica,$ca.a. 2014-15 300 $a49 p. :$bill. ;$c30 cm 700 1 $aDe Paolis, Francesco 907 $a.b1431048x$b21-10-16$c21-10-16 912 $a991003291089707536 945 $aLE006 T1003$g1$i2006000175654$lle006$og$pE0.00$q-$rn$so $t0$u0$v0$w0$x0$y.i15784447$z21-10-16 996 $aGravità newtoniana in spazi curvi$91747914 997 $aUNISALENTO 998 $ale006$b21-10-16$cm$da $e-$fita$git $h0$i0 LEADER 04407nam 22006252 450 001 9910780087403321 005 20151005020624.0 010 $a1-107-12279-1 010 $a0-521-14365-9 010 $a0-511-11936-4 010 $a0-511-15345-7 010 $a0-511-30344-0 010 $a1-280-15484-5 010 $a0-511-04764-9 010 $a0-511-75379-9 035 $a(CKB)111056485620322 035 $a(EBL)157045 035 $a(OCoLC)437073140 035 $a(SSID)ssj0000231217 035 $a(PQKBManifestationID)11175155 035 $a(PQKBTitleCode)TC0000231217 035 $a(PQKBWorkID)10198584 035 $a(PQKB)11069281 035 $a(UkCbUP)CR9780511753794 035 $a(Au-PeEL)EBL157045 035 $a(CaPaEBR)ebr10015017 035 $a(CaONFJC)MIL15484 035 $a(MiAaPQ)EBC157045 035 $a(EXLCZ)99111056485620322 100 $a20141103d2001|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aQuantitative models in marketing research /$fPhilip Hans Franses and Richard Paap$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2001. 215 $a1 online resource (xiii, 206 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a0-521-80166-4 311 $a0-511-01301-9 320 $aIncludes bibliographical references (p. 196-201) and index. 327 $tOn marketing research --$tData --$tModels --$tFeatures of marketing research data --$tQuantitative models --$tMarketing performance measures --$tA continuous variable --$tA binomial variable --$tAn unordered multinomial variable --$tAn ordered multinomial variable --$tA limited continuous variable --$tA duration variable --$tA continuous dependent variable --$tThe standard Linear Regression model --$tEstimation --$tEstimation by Ordinary Least Squares --$tEstimation by Maximum Likelihood --$tDiagnostics, model selection and forecasting --$tDiagnostics --$tModel selection --$tForecasting --$tModeling sales --$tAdvanced topics --$tA binomial dependent variable --$tRepresentation and interpretation --$tModeling a binomial dependent variable --$tThe Logit and Probit models --$tModel interpretation --$tEstimation --$tThe Logit model --$tThe Probit model --$tVisualizing estimation results --$tDiagnostics, model selection and forecasting --$tDiagnostics --$tModel selection --$tForecasting --$tModeling the choice between two brands --$tAdvanced topics --$tModeling unobserved heterogeneity --$tModeling dynamics --$tSample selection issues --$tAn unordered multinomial dependent variable --$tRepresentation and interpretation --$tThe Multinomial and Conditional Logit models --$tThe Multinomial Probit model --$tThe Nested Logit model --$tEstimation --$tThe Multinomial and Conditional Logit models --$tThe Multinomial Probit model --$tThe Nested Logit model --$tDiagnostics, model selection and forecasting --$tDiagnostics --$tModel selection --$tForecasting. 330 $aAdvances in data collection and data storage techniques have enabled marketing researchers to study the individual characteristics of a large range of transactions and purchases, in particular the effects of household-specific characteristics. This 2001 book presents important and practically relevant quantitative models for marketing research. Each model is presented in detail with a self-contained discussion, which includes: a demonstration of the mechanics of the model, empirical analysis, real world examples, and interpretation of results and findings. The reader of the book will learn how to apply the techniques, as well as understand the methodological developments in the academic literature. Pathways are offered in the book for students and practitioners with differing numerical skill levels; a basic knowledge of elementary numerical techniques is assumed. 606 $aMarketing research$xMathematical models 615 0$aMarketing research$xMathematical models. 676 $a658.8/3/015118 700 $aFranses$b Philip Hans$f1963-$0252841 702 $aPaap$b Richard 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910780087403321 996 $aQuantitative models in marketing research$93776049 997 $aUNINA