04481nam 2200721 450 991082216960332120200520144314.01-63157-330-6(CKB)3710000000731574(BEP)4560113(OCoLC)953642573(CaBNVSL)swl00406720(Au-PeEL)EBL4560113(CaPaEBR)ebr11225272(CaONFJC)MIL933208(OCoLC)956133125(CaSebORM)9781631573309(MiAaPQ)EBC4560113(EXLCZ)99371000000073157420160715d2016 fy 0engurcnu||||||||rdacontentrdamediardacarrierApplied regression and modeling a computer integrated approach /Amar SahayFirst edition.New York, New York (222 East 46th Street, New York, NY 10017) :Business Expert Press,2016.1 online resource (xi, 195 pages)Quantitative approaches to decision making collection,2163-95821-63157-329-2 Includes bibliographical references (page [191]) and index.1. 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.This 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.Quantitative approaches to decision making collection.2163-9582Regression analysisData processingcoefficient of correlationcorrelationdependent variabledummy variableindependent variableinteraction modelleast squares estimatesleast squares prediction equationlinear regressionmultiple coefficient of determinationmultiple regression and modelingnonlinear modelsregression lineresidual analysisscatterplotsecond-order modelstepwise regressionRegression analysisData processing.519.536Sahay Amar.881364MiAaPQMiAaPQMiAaPQBOOK9910822169603321Applied regression and modeling4017166UNINA03327nam 22005895 450 991025418960332120200706142432.03-319-20445-910.1007/978-3-319-20445-1(CKB)3710000000460309(EBL)3568067(SSID)ssj0001546581(PQKBManifestationID)16140848(PQKBTitleCode)TC0001546581(PQKBWorkID)14796194(PQKB)11782808(DE-He213)978-3-319-20445-1(MiAaPQ)EBC3568067(PPN)188458379(EXLCZ)99371000000046030920150804d2016 u| 0engur|n|---|||||txtccrOpportunistic Spectrum Utilization in Vehicular Communication Networks /by Nan Cheng, Xuemin (Sherman) Shen1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (82 p.)SpringerBriefs in Electrical and Computer Engineering,2191-8112Description based upon print version of record.3-319-20444-0 Includes bibliographical references.Introduction -- Opportunistic Communication Spectra Utilization -- Opportunistic Spectrum Access Through Cognitive Radio -- Performance Analysis of WiFi Offloading in Vehicular Environments -- Conclusions and Future Directions.This brief examines current research on improving Vehicular Networks (VANETs), examining spectrum scarcity due to the dramatic growth of mobile data traffic and the limited bandwidth of dedicated vehicular communication bands and the use of opportunistic spectrum bands to mitigate congestion. It reviews existing literature on the use of opportunistic spectrum bands for VANETs, including licensed and unlicensed spectrum bands and a variety of related technologies, such as cognitive radio, WiFi and device-to-device communications. Focused on analyzing spectrum characteristics, designing efficient spectrum exploitation schemes, and evaluating the date delivery performance when utilizing different opportunistic spectrum bands, the results presented in this brief provide valuable insights on improving the design and deployment of future VANETs.SpringerBriefs in Electrical and Computer Engineering,2191-8112Electrical engineeringComputer communication systemsCommunications Engineering, Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/T24035Computer Communication Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/I13022Electrical engineering.Computer communication systems.Communications Engineering, Networks.Computer Communication Networks.620Cheng Nanauthttp://id.loc.gov/vocabulary/relators/aut762967Shen Xuemin (Sherman)authttp://id.loc.gov/vocabulary/relators/autBOOK9910254189603321Opportunistic Spectrum Utilization in Vehicular Communication Networks2544026UNINA