LEADER 01087nam1 2200349 450 001 990005982860203316 005 20141119143007.0 035 $a000598286 035 $aUSA01000598286 035 $a(ALEPH)000598286USA01 035 $a000598286 100 $a20141119d--------km-y0itay50------ba 101 $aeng 102 $aGB 105 $a||||||||001yy 200 1 $aLanguage leader 210 $aHarlow$cPearson 215 $avolumi$d30 cm 463 \1$1001990005982870203316$12001 $aElementary : workbook with key and audio CD$eD'Arcy Adrian-Vallance 463 \1$1001990005982890203316$12001 $aElementary : coursebook and cd-rom$eIan Lebeau, Gareth Rees 606 0 $aLingua inglese$xManuali per stranieri$2BNCF 676 $a428.24 801 0$aIT$bsalbc$gISBD 912 $a990005982860203316 951 $aVII.3.D. 670 1/$cVII.3.D. 959 $aBK 969 $aUMA 979 $aCHIARA$b90$c20141119$lUSA01$h1427 979 $aCHIARA$b90$c20141119$lUSA01$h1427 979 $aCHIARA$b90$c20141119$lUSA01$h1430 996 $aLanguage leader$91079906 997 $aUNISA LEADER 03275nam 2200685Ia 450 001 9910459048103321 005 20200520144314.0 010 $a1-317-09526-X 010 $a1-317-09525-1 010 $a1-282-90717-4 010 $a9786612907173 010 $a1-4094-0362-9 035 $a(CKB)2670000000055439 035 $a(EBL)615623 035 $a(OCoLC)695009035 035 $a(SSID)ssj0000439728 035 $a(PQKBManifestationID)11295123 035 $a(PQKBTitleCode)TC0000439728 035 $a(PQKBWorkID)10465090 035 $a(PQKB)11680514 035 $a(MiAaPQ)EBC615623 035 $a(MiAaPQ)EBC5293679 035 $a(Au-PeEL)EBL615623 035 $a(CaPaEBR)ebr10431348 035 $a(CaONFJC)MIL941545 035 $a(Au-PeEL)EBL5293679 035 $a(CaONFJC)MIL290717 035 $a(EXLCZ)992670000000055439 100 $a20100618d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMobile telecommunications in a high speed world$b[electronic resource] $eindustry structure, strategic behaviour and socio-economic impact /$fPeter Curwen, Jason Whalley 210 $aFarnham ;$aBurlington, VT $cGower$dc2010 215 $a1 online resource (275 p.) 300 $aDescription based upon print version of record. 311 $a1-4094-0361-0 320 $aIncludes bibliographical references and index. 327 $aCover; Contents; List of Figures; List of Tables; List of Abbreviations; Preface; Acknowledgements; Chapter 1 High-Speed Data Transmission; Chapter 2 Spectrum Issues; Chapter 3 Licensing of High-Speed Data Networks; Chapter 4 High-Speed Data Network Launches; Chapter 5 Characterizing Data Services; Chapter 6 Issues in Mobile Industry Structure - Vendors; Chapter 7 The iPhone: A Case Study of Innovation in the Mobile Handset Market; Chapter 8 Microsoft, Google and Yahoo!: A Case Study in Internet Evolution; Chapter 9 The Role of 3G New Entrants in Promoting Competition 327 $aChapter 10 Issues in Mobile Industry Structure - OperatorsChapter 11 Socio-Economic Impact; Index 330 $aWritten by two of the world's foremost researchers on this industry, this book not only provides the outcomes of research detailing every licence and launch worldwide involving 3G, but discusses the structure of the industry and the strategic behaviour of operators, as well as the social consequences of the spread of 3G and higher speed technologies. The authors examine the role of new entry upon competition, and present analysis of the main operators involved, and the development of handsets, especially smartphones. 606 $aCell phone services industry 606 $aWireless communication systems 606 $aTelecommunication 608 $aElectronic books. 615 0$aCell phone services industry. 615 0$aWireless communication systems. 615 0$aTelecommunication. 676 $a384.3/3 700 $aCurwen$b Peter J$0126628 701 $aWhalley$b Jason$0901618 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910459048103321 996 $aMobile telecommunications in a high speed world$92015220 997 $aUNINA LEADER 05058nam 2200649Ia 450 001 9910144694203321 005 20170810195456.0 010 $a1-282-30785-1 010 $a9786612307850 010 $a0-470-31656-X 010 $a0-470-31727-2 035 $a(CKB)1000000000687558 035 $a(EBL)469783 035 $a(OCoLC)264615241 035 $a(SSID)ssj0000337794 035 $a(PQKBManifestationID)11276869 035 $a(PQKBTitleCode)TC0000337794 035 $a(PQKBWorkID)10293861 035 $a(PQKB)11780383 035 $a(MiAaPQ)EBC469783 035 $a(PPN)159354552 035 $a(EXLCZ)991000000000687558 100 $a19830210d1983 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aForecasting with univariate Box-Jenkins models$b[electronic resource] $econcepts and cases /$fAlan Pankratz 210 $aNew York $cWiley$dc1983 215 $a1 online resource (587 p.) 225 0 $aWiley series in probability and mathematical statistics. Probability and mathematical statistics.,$x0271-6356 300 $aDescription based upon print version of record. 311 $a0-471-09023-9 320 $aIncludes bibliography and index. 327 $aForecasting With Univariate Box- Jenkins Models CONCEPTS AND CASES; CONTENTS; PART I. BASIC CONCEPTS; 1 Overview; 1.1 Planning and forecasting; 1.2 What this book is about; 1.3 Time-series data; 1.4 Single-series (univariate) analysis; 1.5 When may UBJ models be used?; 1.6 The Box-Jenkins modeling procedure; 1.7 UBJ models compared with other models; Summary; Questions and problems; 2 Introduction to Box-Jenkins analysis of a single data series; 2.1 Differencing; 2.2 Deviations from the mean 327 $a2.3 Two analytical tools: the estimated autocorrelation function (acf) and estimated partial autocorrelation function (pacf)Summary; Questions and problems; 3 Underlying statistical principles; 3.1 Process, realization, and model; 3.2 Two common processes; 3.3 Statistical inference at the identification stage; Summary; Appendix 3 A: Expected value rules and definitions; Questions and problems; 4 An introduction to the practice of ARIMA modeling; 4.1 What is a good model?; 4.2 Two examples of UBJ-ARIMA modeling; Summary; Questions and problems; 5 Notation and the interpretation of ARIMA models 327 $a5.1 Three processes and ARIMA (p,d,q) notation5.2 Backshift notation; 5.3 Interpreting ARIMA models I: optimal extrapolation of past values of a single series; 5.4 Interpreting ARIMA models II: rationalizing them from their context; 5.5 Interpreting ARIMA models III: ARIMA(O,d,q) models as exponentially weighted moving averages; Summary; Questions and problems; 6 Identification: stationary models; 6.1 Theoretical acfs and pacf's for five common processes; 6.2 Stationarity; 6.3 Invertibility; 6.4 Deriving theoretical acf's for the MA(1) process 327 $a6.5 Deriving theoretical acf's for the AR(1) processSummary; Appendix 6A: The formal conditions for stationarity and invertibility; Appendix 6B Invertibility, uniqueness,and forecast performance; Questions and problems; 7 Identification: nonstationary models; 7.1 Nonstationary mean; 7.2 Nonstationary variance; 7.3 Differencing and deterministic trends; Summary; Appendix 7A: Integration; 8 Estimation; 8.1 Principles of estimation; 8.2 Nonlinear least-squares estimation; 8.3 Estimation-stage results: have we found a good model?; Summary; Appendix 8A: Marquardt's compromise; 8A.1 Overview 327 $a8A.2 Application to an MA(1)Appendix 8B: Backcasting; 8B.1 Conditional least squares; 8B.2 Unconditional least squares; 9 Diagnostic checking; 9.1 Are the random shocks independent?; 9.2 Other diagnostic checks; 9.3 Reformulating a model; Summary; Questions and problems; 10 Forecasting; 10.1 The algebra of ARIMA forecasts; 10.2 The dispersion of ARIMA forecasts; 10.3 Forecasting from data in logarithmic form; 10.4 The optimality of ARIMA forecasts; Summary; Appendix 10A:The complementarity of ARIMA models and econometric models; Questions and problems; 11 Seasonal and other periodic models 327 $a11.1 Periodic data 330 $aExplains the concepts and use of univariate Box-Jenkins/ARIMA analysis and forecasting through 15 case studies. Cases show how to build good ARIMA models in a step-by-step manner using real data. Also includes examples of model misspecification. Provides guidance to alternative models and discusses reasons for choosing one over another. 410 0$aWiley Series in Probability and Statistics 606 $aTime-series analysis 606 $aPrediction theory 615 0$aTime-series analysis. 615 0$aPrediction theory. 676 $a519.54 676 $a519.55 700 $aPankratz$b Alan$f1944-$089085 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910144694203321 996 $aForecasting with univariate box-Jenkins models$9196473 997 $aUNINA