{"product_id":"9783642443404","title":"Advanced Statistical Methods for the Analysis of Large Data-Sets (Studies in Theoretical and Applied Statistics \/ Selected Papers of the Statistical Societies) (2012. 2014. xiv, 486 S. 30 Tabellen. 235 mm)","description":"\u003cp\u003eThe theme of the meeting was \"Statistical Methods for the Analysis of Large Data-Sets\". In recent years there has been increasing interest in this subject; in fact a huge quantity of information is often available but standard statistical techniques are usually not well suited to managing this kind of data. The conference serves as an important meeting point for European researchers working on this topic and a number of European statistical societies participated in the organization of the event. \n \nThe book includes 45 papers from a selection of the 156 papers accepted for presentation and discussed at the conference on \"Advanced Statistical Methods for the Analysis of Large Data-sets.\"\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I\u003c\/b\u003e Clustering Large Data-Sets: Clustering Large Data Set: An Applied Comparative Study (Bocci L., Mingo I.).- Clustering in Feature Space for Interesting Pattern Identification of Categorical Data (Marino M., Palumbo F., Tortora C.).- Clustering geostatistical functional data (Romano E., Verde R.).-Joint Clustering and Alignment of Functional Data: An Application to Vascu-lar Geometries (Sangalli L.M., Secchi P., Vantini S., Vitelli V.).- \u003cb\u003ePart II\u003c\/b\u003e Statistics in Medicine: Bayesian Methods for Time Course Microarray Analysis: From Genes' Detection to Clustering (Angelini C., De Canditiis D., Pensky M.).- Longitudinal Analysis of Gene Expression Profiles Using Functional Mixed-effects Models (Berk M., Montana G., Levin M., Hemingway C.).- A Permutation Solution to Compare two Hepatocellular Carcinoma Markers (Zirilli A., Alibrandi A.).- \u003cb\u003ePart III\u003c\/b\u003e Integrating Administrative Data: Statistical Perspective on Blocking Methods when Linking Large Data-Sets (Cibella N., Tuoto T.).- Integrating Households Income Microdata in the Estimate of the Italian GDP (Coli A., Tartamella F.).- The Employment Consequences of Globalization: Linking Data on Employers and Employees in the Netherlands (Fortanier F., Korvorst M., Luppes M.).- Applications of Bayesian networks in Official Statistics (Vicard P., Scanu M.).- \u003cb\u003ePart IV\u003c\/b\u003e Outliers and Missing Data: A Correlated Random Effects Model for Longitudinal Data with Non-ignorable Drop-out: An Application to University Student Performance (Belloc F., Maruotti A., Petrella L.).- Risk Analysis Approaches to rank Outliers in Trade Data (Kopustinskas V., Arsenis S.).- Problems and Challenges in the Analysis of Complex Data: Static and Dynamic Approaches (Riani M., Atkinson A., Cerioli A.).- Ensemble Support Vector Regression: A New Non-parametric Approach for Multiple Imputation (Scacciatelli D.).- \u003cb\u003ePart V \u003c\/b\u003e Time Series Analysis: On the Use of PLS Regression for Forecasting Large Sets ofCointegrated Time Series (Cubadda G., Guardabascio B.).- Large-Scale Portfolio Optimisation with Heuristics (Gilli M., Schumann E.).- Detecting Short-Term Cycles in Complex Time Series Databases (Giordano F., Parrella M.L., Restaino M.).- Assessing the Beneficial Effects of Economic Growth: The Harmonic Growth Index (Mendola D., Scuderi R.).- Time Series Convergence within I(2) Models: The Case of Weekly Long Term Bond Yields in the four Largest Euro Area Countries (Passamani G.).- \u003cb\u003ePart VI\u003c\/b\u003e Environmental Statistics: Anthropogenic CO2 Emissions and Global Warming: Evidence from Granger Causality Analysis (Bilancia M., Vitale D.).- Temporal and Spatial Statistical Methods to Remove External Effects on Groundwater Levels (Imparato D., Carena A., Gasparini M.).- Reduced Rank Covariances for the Analysis of Environmental Data (Nicolis O., Nychka D.).- Radon Level in Dwellings and Uranium Content in Soil in the Abruzzo Region: A Preliminary Investigation by Geographically Weighted Regression (Nissi E., Sarra A., Palermi S.).- \u003cb\u003ePart VII\u003c\/b\u003e Probability and Density Estimation.- Applications of Large Deviations to Hidden Markov Chains Estimations (Del Greco M.).- Multivariate Tail Dependence Coefficients for Archimedean Copulae (De Luca G., Rivieccio G.).- A Note on Density Estimation for Circular Data (Di Marzio M., Panzera A., Taylor C.C.).- Markov Bases for Sudoku Grids (Fontana R., Rapallo F., Rogantin M.P.).- \u003cb\u003ePart VIII\u003c\/b\u003e Application in Economics: Estimating the Probability of Moonlighting in Italian Building Industry (Arezzo M.F., Alleva G.).- Use of Interactive Plots and Tables for Robust Analysis of International Trade Data (Perrotta D., Torti F.) Generational Determinants on the Employment Choice in Italy (Quintano C., Castellano R., Punzo G.).- Route-based Performance Evaluation Using Data Envelopment Analysis Combined with Principal Component Analysis (Rapposelli A.).- \u003cb\u003ePart IX\u003c\/b\u003e WEB and Text Mining: Web Surveys: MethodologicalProblems and Research Perspecti\u003c\/p\u003e \u003cb\u003eAgostino Di Ciaccio\u003c\/b\u003e and \u003cb\u003eMauro Coli\u003c\/b\u003e are the former President of the Programme Committee and President of the Organizing Committee, respectively and were involved in the selection of the papers. \u003cb\u003eJose Miguel Angulo Ibañez\u003c\/b\u003e is the Editor chosen from the Editorial Board of the Series and is President of the SEIO.","brand":"SPRINGER, BERLIN; SPRINGER","offers":[{"title":"Default Title","offer_id":45517523550287,"sku":"00000_00000_00000_00000","price":5950.0,"currency_code":"TWD","in_stock":false}],"url":"https:\/\/kinokuniya.com.tw\/products\/9783642443404","provider":"Books Kinokuniya Taiwan","version":"1.0","type":"link"}