LEADER 00955cam0 2200277 450 001 E600200010381 005 20200408110901.0 010 $a8815019405 100 $a20050523d1988 |||||ita|0103 ba 101 $aita 102 $aIT 200 1 $a<>teatro italiano nel Settecento$fcur.Gerardo Guccini 210 $aBologna$cil Mulino$d1988 215 $a414 p.$d21 cm. 225 2 $aProblemi e prospettive$eserie di musica e spettacolo 410 1$1001LAEC00021134$12001 $a*Problemi e prospettive : serie di musica e spettacolo 702 1$aGuccini, Gerardo$3A600200030919$4070 801 0$aIT$bUNISOB$c20200408$gRICA 850 $aUNISOB 852 $aUNISOB$j790$m78831 912 $aE600200010381 940 $aM 102 Monografia moderna SBN 941 $aM 957 $a790$b000155$gSi$d78831$racquisto$1pomicino$2UNISOB$3UNISOB$420050523123058.0$520200408110833.0$6Alfano 996 $aTeatro italiano nel Settecento$9276558 997 $aUNISOB LEADER 07122nam 2200469 450 001 9910554838303321 005 20211014153230.0 010 $a1-119-82162-2 010 $a1-119-82172-X 010 $a1-119-82163-0 035 $a(CKB)4100000011809488 035 $a(MiAaPQ)EBC6528141 035 $a(Au-PeEL)EBL6528141 035 $a(OCoLC)1244626230 035 $a(EXLCZ)994100000011809488 100 $a20211014d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aApplied modeling techniques and data analysis 2 $efinancial, demographic, stochastic and statistical models and methods /$fedited by Yannis Dimotikalis [and three others] 210 1$aHoboken, New Jersey :$cWiley,$d[2021] 210 4$dİ2021 215 $a1 online resource (289 pages) 311 $a1-78630-674-3 327 $aCover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Preface -- Part 1. Financial and Demographic Modeling Techniques -- Chapter 1. Data Mining Application Issues in the Taxpayer Selection Process -- 1.1. Introduction -- 1.2. Materials and methods -- 1.2.1. Data -- 1.2.2. Interesting taxpayers -- 1.2.3. Enforced tax recovery proceedings -- 1.2.4. The models -- 1.3. Results -- 1.4. Discussion -- 1.5. Conclusion -- 1.6. References -- Chapter 2: Asymptotics of Implied Volatility in the Gatheral Double Stochastic Volatility Model -- 2.1. Introduction -- 2.2. The results -- 2.3. Proofs -- 2.4. References -- Chapter 3: New Dividend Strategies -- 3.1. Introduction -- 3.2. Model 1 -- 3.3. Model 2 -- 3.4. Conclusion and further results -- 3.5. Acknowledgments -- 3.6. References -- Chapter 4: Introduction of Reserves in Self-adjusting Steering of Parameters of a Pay-As-You-Go Pension Plan -- 4.1. Introduction -- 4.2. The pension system -- 4.3. Theoretical framework of the Musgrave rule -- 4.4. Transformation of the retirement fund -- 4.5. Conclusion -- 4.6. References -- Chapter 5: Forecasting Stochastic Volatility for Exchange Rates using EWMA -- 5.1. Introduction -- 5.2. Data -- 5.3. Empirical model -- 5.4. Exchange rate volatility forecasting -- 5.5. Conclusion -- 5.6. Acknowledgments -- 5.7. References -- Chapter 6: An Arbitrage-free Large Market Model for Forward Spread Curves -- 6.1. Introduction and background -- 6.1.1. Term-structure (interest rate) models -- 6.1.2. Forward-rate models versus spot-rate models -- 6.1.3. The Heath-Jarrow-Morton framework -- 6.1.4. Construction of our model -- 6.2. Construction of a market with infinitely many assets -- 6.2.1. The Cuchiero-Klein-Teichmann approach -- 6.2.2. Adapting Cuchiero-Klein-Teichmann's results to our objective -- 6.3. Existence, uniqueness and non-negativity. 327 $a6.3.1. Existence and uniqueness: mild -- 6.3.2. Non-negativity of solutions -- 6.4. Conclusion and future works -- 6.5. References -- Chapter 7: Estimating the Healthy Life Expectancy (HLE) in the Far Past: The Case of Sweden (1751-2016) with Forecasts to 2060 -- 7.1. Life expectancy and healthy life expectancy estimates -- 7.2. The logistic model -- 7.3. The HALE estimates and our direct calculations -- 7.4. Conclusion -- 7.5. References -- Chapter 8: Vaccination Coverage Against Seasonal Influenza of Workers in the Primary Health Care Units in the Prefecture of Chania -- 8.1. Introduction -- 8.2. Material and method -- 8.3. Results -- 8.4. Discussion -- 8.5. References -- Chapter 9: Some Remarks on the Coronavirus Pandemic in Europe -- 9.1. Introduction -- 9.2. Background -- 9.2.1. CoV pathogens -- 9.2.2. Clinical characteristics of COVID-19 -- 9.2.3. Diagnosis -- 9.2.4. Epidemiology and transmission of COVID-19 -- 9.2.5. Country response measures -- 9.2.6. The role of statistical research in the case of COVID-19 and its challenges -- 9.3. Materials and analyses -- 9.4. The first phase of the pandemic -- 9.5. Concluding remarks -- 9.6. References -- Part 2. Applied Stochastic and Statistical Models and Methods -- Chapter 10. The Double Flexible Dirichlet: A Structured Mixture Model for Compositional Data -- 10.1. Introduction -- 10.1.1. The flexible Dirichlet distribution -- 10.2. The double flexible Dirichlet distribution -- 10.2.1. Mixture components and cluster means -- 10.3. Computational and estimation issues -- 10.3.1. Parameter estimation: the EM algorithm -- 10.3.2. Simulation study -- 10.4. References -- Chapter 11. Quantization of Transformed Le?vy Measures -- 11.1. Introduction -- 11.2. Estimation strategy -- 11.3. Estimation of masses and the atoms -- 11.4. Simulation results -- 11.5. Conclusion -- 11.6. References. 327 $aChapter 12. A Flexible Mixture Regression Model for Bounded Multivariate Responses -- 12.1. Introduction -- 12.2. Flexible Dirichlet regression model -- 12.3. Inferential issues -- 12.4. Simulation studies -- 12.4.1. Simulation study 1: presence of outliers -- 12.4.2. Simulation study 2: generic mixture of two Dirichlet distributions -- 12.4.3. Simulation study 3: FD distribution -- 12.5. Discussion -- 12.6. References -- Chapter 13: On Asymptotic Structure of the CriticalGalton-Watson Branching Processes with Infinite Variance and Allowing Immigration -- 13.1. Introduction -- 13.2. Invariant measures of GW process -- 13.3. Invariant measures of GWPI -- 13.4. Conclusion -- 13.5. References -- Chapter 14. Properties of the Extreme Points of theJoint Eigenvalue Probability DensityFunction of the Wishart Matrix -- 14.1. Introduction -- 14.2. Background -- 14.3. Polynomial factorization of the Vandermonde andWishart matrices -- 14.4. Matrix norm of the Vandermonde and Wishart matrices -- 14.5. Condition number of the Vandermonde and Wishart matrices -- 14.6. Conclusion -- 14.7. Acknowledgments -- 14.8. References -- Chapter 15: Forecast Uncertainty of the Weighted TAR Predictor -- 15.1. Introduction -- 15.2. SETAR predictors and bootstrap prediction intervals -- 15.3. Monte Carlo simulation -- 15.4. References -- Chapter 16: Revisiting Transitions Between Superstatistics -- 16.1. Introduction -- 16.2. From superstatistic to transition between superstatistics -- 16.3. Transition confirmation -- 16.4. Beck's transition model -- 16.5. Conclusion -- 16.6. Acknowledgments -- 16.7. References -- Chapter 17: Research on Retrial Queue with Two-Way Communication in a Diffusion Environment -- 17.1. Introduction -- 17.2. Mathematical model -- 17.3. Asymptotic average characteristics -- 17.4. Deviation of the number of applications in the system. 327 $a17.5. Probability distribution density of device states -- 17.6. Conclusion -- 17.7. References -- List of Authors -- Index -- Other titles from iSTE in Innovation, Entrepreneurship and Management -- EULA. 606 $aData mining 608 $aElectronic books. 615 0$aData mining. 676 $a006.312 702 $aDimotikalis$b Ioannis 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910554838303321 996 $aApplied modeling techniques and data analysis 2$92819360 997 $aUNINA LEADER 03927nam 22006495 450 001 9910298287903321 005 20200704233153.0 010 $a3-662-45209-X 024 7 $a10.1007/978-3-662-45209-7 035 $a(CKB)3710000000305966 035 $a(EBL)1968125 035 $a(OCoLC)897376948 035 $a(SSID)ssj0001385847 035 $a(PQKBManifestationID)11883457 035 $a(PQKBTitleCode)TC0001385847 035 $a(PQKBWorkID)11349638 035 $a(PQKB)11420457 035 $a(DE-He213)978-3-662-45209-7 035 $a(MiAaPQ)EBC1968125 035 $a(PPN)183096819 035 $a(EXLCZ)993710000000305966 100 $a20141127d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMicroorganisms in Biorefineries /$fedited by Birgit Kamm 205 $a1st ed. 2015. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2015. 215 $a1 online resource (373 p.) 225 1 $aMicrobiology Monographs,$x1862-5576 ;$v26 300 $aDescription based upon print version of record. 311 $a3-662-45208-1 320 $aIncludes bibliographical references and index. 327 $aPenicillium canescens host as the platform for development of a new recombinant strains producers of carbohydrases -- Microbial life on green biomass and their use for production of platform chemicals -- Microorganism for bioconversion of sugar hydrolysates into lipids -- Lignocellulosic hydrolysates for the production of polyhydroxyalkanoates -- Microbial research in high-value biofuels -- Microorganisms for biorefining of green biomass -- Microbial succinic acid production using different bacteria species -- Whole cell biocatalytic production of 2,5-furandicarboxylic acid -- Microorganisms for production of lactic acid and organic lactates -- Microbial Lactone Synthesis Based on Renewable Resources -- Production of industrially-relevant isoprenoid compounds in engineered microbes -- The role of cellulose hydrolyzing bacteria in the production of biogas from plant biomass. 330 $aThe book describes how plant biomass can be used as renewable feedstock for producing and further processing various products. Particular attention is given to microbial processes both for the digestion of biomass and the synthesis of platform chemicals, biofuels and secondary products. Topics covered include: new metabolic pathways of microbes living on green plants and in silage; using lignocellulosic hydrolysates for the production of polyhydroxyalkanoates; fungi such as Penicillium as host for the production of heterologous proteins and enzymes; bioconversion of sugar hydrolysates into lipids; production of succinic acid, lactones, lactic acid and organic lactates using different bacteria species; cellulose hydrolyzing bacteria in the production of biogas from plant biomass; and isoprenoid compounds in engineered microbes. 410 0$aMicrobiology Monographs,$x1862-5576 ;$v26 606 $aMicrobiology 606 $aRenewable energy resources 606 $aMicrobiology$3https://scigraph.springernature.com/ontologies/product-market-codes/L23004 606 $aRenewable and Green Energy$3https://scigraph.springernature.com/ontologies/product-market-codes/111000 606 $aApplied Microbiology$3https://scigraph.springernature.com/ontologies/product-market-codes/C12010 615 0$aMicrobiology. 615 0$aRenewable energy resources. 615 14$aMicrobiology. 615 24$aRenewable and Green Energy. 615 24$aApplied Microbiology. 676 $a662.88 702 $aKamm$b Birgit$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910298287903321 996 $aMicroorganisms in Biorefineries$92541206 997 $aUNINA