Topics in Theoretical and Applied Statistics: Studies in Theoretical and Applied Statistics
Editat de Giorgio Alleva, Andrea Giommien Limba Engleză Paperback – 26 mai 2018
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Specificații
ISBN-13: 9783319801063
ISBN-10: 3319801066
Ilustrații: XI, 315 p. 40 illus., 18 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.46 kg
Ediția:Softcover reprint of the original 1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seriile Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies
Locul publicării:Cham, Switzerland
ISBN-10: 3319801066
Ilustrații: XI, 315 p. 40 illus., 18 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.46 kg
Ediția:Softcover reprint of the original 1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seriile Studies in Theoretical and Applied Statistics, Selected Papers of the Statistical Societies
Locul publicării:Cham, Switzerland
Cuprins
Part I Statistical Theory and Methods.- Part II Data Mining and MultivariateData Analysis.- Part III Sampling and Estimation Methods.- Part IV Social Statistics, Demography and Health Data.- Part V EconomicStatistics and Econometrics.
Notă biografică
GiorgioAlleva is Professor at the Department of Methods and Models for Economics,Territory and Finance (MEMOTEF) at the Faculty of Economics, SapienzaUniversity of Rome. He is the President of ISTAT since 2014.
Andrea Giommiis Professor at the Department of Statististics, Computer Science, Applications ‘Giuseppe Parenti‘ DiSIA.
Andrea Giommiis Professor at the Department of Statististics, Computer Science, Applications ‘Giuseppe Parenti‘ DiSIA.
Textul de pe ultima copertă
This bookhighlights the latest research findings from the 46th International Meeting ofthe Italian Statistical Society (SIS) in Rome, during which both methodologicaland applied statistical research was discussed. This selection of fullypeer-reviewed papers, originally presented at the meeting, addresses a broadrange of topics, including the theory of statistical inference; data mining andmultivariate statistical analysis; survey methodologies; analysis of social,demographic and health data; and economic statistics and econometrics.