{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":3,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":60,"n_cols":5,"rows_kept":60,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[2,4,2,5],[3,2,3,3],[4,2,4,3],[5,2,5,3],[6,2,6,3],[7,2,7,3],[11,2,11,3],[15,2,15,3],[19,2,19,3],[20,2,20,3],[24,2,24,3],[24,4,24,5],[25,2,25,3],[25,4,25,5],[26,2,26,3],[26,4,26,5],[27,2,27,3],[28,2,28,3],[29,2,29,3],[30,2,30,3],[35,2,35,3],[36,2,36,3],[40,2,40,3],[40,4,40,5],[41,2,41,3],[41,4,41,5],[42,2,42,3],[42,4,42,5],[43,2,43,3],[44,2,44,3],[46,2,46,3],[47,2,47,3],[48,2,48,3],[50,2,50,3],[53,2,53,3],[54,2,54,3],[58,2,58,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA990002586870403321"]
[null,null,"Autore",null,"Brush, Gary G."]
[null,null,"Titolo",null,"Come scegliere la numerosità appropriata del campione / Gary G. Brush ; testo a cura di Aurelio Molaroni con la collaborazione di Carmen Tumiatti"]
[null,null,"Pubbl/distr/stampa",null,"Milano : Editoriale Itaca, 1992"]
[null,null,"ISBN",null,"88-7206-062-1"]
[null,null,"Descrizione fisica",null,"X, 118 p. ; 28 cm"]
[null,null,"Collana",null,"Collana sui metodi statistici applicati ; 12"]
[null,null,"Disciplina",null,"519.8"]
[{"$nulls":4},"519.86"]
[{"$nulls":4},"519.52"]
[{"$nulls":4},"001.4222"]
[null,null,"Locazione",null,"MAS"]
[{"$nulls":4},"BFS"]
[{"$nulls":4},"SES"]
[{"$nulls":4},"FSPBC"]
[null,null,"Collocazione",null,"XVII-C-59"]
[{"$nulls":4},"519.86 ITA 12"]
[{"$nulls":4},"11220 BRU"]
[{"$nulls":4},"VI E 658 (12)"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","In testa al frontespizio : \"American Society for Quality Control Statistics Division\""]
[{"$nulls":4},"Alla pubblicazione della collana ha contribuito il Centro Tessile Cotoniero"]
[null,"2.","Record Nr.",null,"UNINA9910711765503321"]
[null,null,"Autore",null,"Dawson Leelinda P."]
[null,null,"Titolo",null,"The performance improvement of the Lagrangian Particle Dispersion Model (LPDM) using graphics processing unit (GPU) computing / / by Leelinda P Dawson"]
[null,null,"Pubbl/distr/stampa",null,"Adelphi, MD : , : US Army Research Laboratory, , Aug 2017"]
[null,null,"Descrizione fisica",null,"1 online resource (iv,12 pages) : color illustrations"]
[null,null,"Collana",null,"ARL-TR ; ; 8110"]
[null,null,"Soggetti",null,"Lagrangian functions"]
[{"$nulls":4},"Graphics processing units"]
[{"$nulls":4},"CUDA (Computer architecture)"]
[{"$nulls":4},"Computer programs - Standards"]
[{"$nulls":4},"Technical reports."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","\"Aug 2017.\""]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (page 9)."]
[null,"3.","Record Nr.",null,"UNINA9910797359503321"]
[null,null,"Autore",null,"Tunnicliffe-Wilson Granville"]
[null,null,"Titolo",null,"Models for dependent time series / / Granville Tunnicliffe-Wilson, Department of Mathematics and Statistics, Lancaster University, UK; Marco Reale, School of Mathematics and Statistics, University of Canterbury, New Zealand; John Haywood, School of Mathematics and Statistics, Victoria University of Wellington, New Zealand"]
[null,null,"Pubbl/distr/stampa",null,"Boca Raton : , : CRC Press, , 2015"]
[null,null,"ISBN",null,"0-429-14440-7"]
[{"$nulls":4},"1-4200-1150-2"]
[null,null,"Descrizione fisica",null,"1 online resource (320 p.)"]
[null,null,"Collana",null,"Monographs on Statistics and Applied Probability ; ; Volume 142"]
[null,null,"Disciplina",null,"519.5/5"]
[{"$nulls":4},"519.55"]
[null,null,"Soggetti",null,"Time-series analysis"]
[{"$nulls":4},"Autoregression (Statistics)"]
[{"$nulls":4},"Mathematical statistics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","A Chapman & Hall book."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"\"\"Cover\"\"; \"\"Contents\"\"; \"\"Preface\"\"; \"\"Chapter 1: Introduction and overview\"\"; \"\"Chapter 2: Lagged regression and autoregressive models\"\"; \"\"Chapter 3: Spectral analysis of dependent series\"\"; \"\"Chapter 4: Estimation of vector autoregressions\"\"; \"\"Chapter 5: Graphical modeling of structural VARs\"\"; \"\"Chapter 6: VZAR: An extension of the VAR model\"\"; \"\"Chapter 7: Continuous time VZAR models\"\"; \"\"Chapter 8: Irregularly sampled series\"\"; \"\"Chapter 9: Linking graphical, spectral and VZAR methods\"\"; \"\"References\"\""]
[null,null,null,"Sommario/riassunto","Models for Dependent Time Series addresses the issues that arise and the methodology that can be applied when the dependence between time series is described and modeled. Whether you work in the economic, physical, or life sciences, the book shows you how to draw meaningful, applicable, and statistically valid conclusions from multivariate (or vector) time series data.The first four chapters discuss the two main pillars of the subject that have been developed over the last 60 years: vector autoregressive modeling and multivariate spectral analysis. These chapters provide the foundational mater"]