{"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":57,"n_cols":5,"rows_kept":57,"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],[8,2,8,3],[9,2,9,3],[10,2,10,3],[12,2,12,3],[12,4,12,5],[13,2,13,3],[13,4,13,5],[14,2,14,3],[14,4,14,5],[15,2,15,3],[16,2,16,3],[18,2,18,3],[19,2,19,3],[20,2,20,3],[21,2,21,3],[30,2,30,3],[31,2,31,3],[34,2,34,3],[37,2,37,3],[37,4,37,5],[38,2,38,3],[38,4,38,5],[39,2,39,3],[40,2,40,3],[41,2,41,3],[42,2,42,3],[43,2,43,3],[44,2,44,3],[50,2,50,3],[51,2,51,3],[54,2,54,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA990002566930403321"]
[null,null,"Autore",null,"Hoel, Paul G."]
[null,null,"Titolo",null,"Introduction to Mathematical Statistics / Paul G. Hoel"]
[null,null,"Pubbl/distr/stampa",null,"New York : John Wiley, 1984"]
[null,null,"ISBN",null,"0471805300"]
[null,null,"Descrizione fisica",null,"x, 435 p. ; 22 cm"]
[null,null,"Disciplina",null,"519"]
[null,null,"Locazione",null,"MAS"]
[null,null,"Collocazione",null,"MXXIII-A-177"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910899899303321"]
[null,null,"Autore",null,"Pierotti Mariarita"]
[null,null,"Titolo",null,"Artificial Intelligence in Accounting and Auditing : Accessing the Corporate Implications / / by Mariarita Pierotti, Anna Monreale, Federica De Santis"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Palgrave Macmillan, , 2024"]
[null,null,"ISBN",null,"9783031713712"]
[{"$nulls":4},"3031713710"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (249 pages)"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Financial engineering"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Accounting"]
[{"$nulls":4},"Auditing"]
[{"$nulls":4},"Financial risk management"]
[{"$nulls":4},"Financial Technology and Innovation"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Financial Accounting"]
[{"$nulls":4},"Risk Management"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"1. The new corporate data ecosystem (Federica De Santis) -- 2. From data to corporate decision-making process (Mariarita Pierotti) -- 3. An introduction to Artificial Intelligence (Anna Monreale) -- 4. The need of Trustworthy Artificial intelligence (Anna Monreale) -- 5. Artificial Intelligence to support Business Decisions (Federica De Santis) -- 6. AI for risk management (Federica De Santis) -- 7. AI for financial accounting (Mariarita Pierotti) -- 8. AI for managerial accounting (Mariarita Pierotti) -- 9. Artificial Intelligence in Auditing (Federica De Santis). 10. Using AI in business context: case studies (Mariarita Pierotti)."]
[null,null,null,"Sommario/riassunto","This book investigates the phenomenon of artificial intelligence (AI) in the accounting world. It integrates accounting competencies with specific competencies in AI and other digital technologies and offers an interdisciplinary perspective. First, the authors review and discuss the "]
[{"$nulls":4},"literature to summarize and systematize extant research on digitalization in accounting. Second, case studies are included to illustrate the potential impact of AI in business contexts in terms of opportunities and challenges. Based on these, the book explores how digitalization is influencing the accounting practice and what the most important avenues are for future research on digitalization in accounting, and will be of interest to researchers, students, and practitioners of financial technology, accounting, and risk management. Mariarita Pierotti is an Associate Professor in the Computer Science Department at the University of Pisa, Italy. She teaches Fundamentals of Business Management and Financial Analysis and Performance Measurement at the master's degree course in Data science and Business Informatics. Her recent research interests include budget policies, earning management activities, and management control. Anna Monreale is an Associate Professor in the Computer Science Department at the University of Pisa, Italy, and a member of the Knowledge Discovery and Data Mining Laboratory (KDD Lab), a joint research group with the Information Science and Technology Institute of the National Research Council in Pisa. Federica De Santis is an Associate Professor at the University of Pisa, Italy. Her research interests include auditing, management information systems, management accounting, and intellectual capital. She teaches financial accounting, management information systems, and auditing and management control."]
[null,"3.","Record Nr.",null,"UNINA9910484712403321"]
[null,null,"Titolo",null,"Advances in Compositional Data Analysis : Festschrift in Honour of Vera Pawlowsky-Glahn / / edited by Peter Filzmoser, Karel Hron, Josep Antoni Martín-Fernández, Javier Palarea-Albaladejo"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021"]
[null,null,"ISBN",null,"3-030-71175-7"]
[null,null,"Edizione",null,"[1st ed. 2021.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XVIII, 404 p. 113 illus., 91 illus. in color.)"]
[null,null,"Disciplina",null,"519.5"]
[null,null,"Soggetti",null,"Statistics"]
[{"$nulls":4},"Biometry"]
[{"$nulls":4},"Geochemistry"]
[{"$nulls":4},"Statistical Theory and Methods"]
[{"$nulls":4},"Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences"]
[{"$nulls":4},"Biostatistics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Preface -- J.J. Egozcue and W.L. Maldonado: An interpretable orthogonal decomposition of positive square matrices -- Part I Fundamentals -- I. Erb and N. Ay: The information-geometric perspective of compositional data analysis -- D.R. Lovell: Log-ratio analysis of finite precision data: caveats, and connections to digital lines and number theory -- G. Mateu-Figueras, G.S. Monti and J.J. Egozcue: Distributions on the simplex revisited -- J. Graffelman: Compositional biplots: a story of false leads and hidden features revealed by the last dimensions -- Part II Statistical Methodology -- K. Fačevicová, P. Kynčlová and K. Macků: Geographically weighted regression analysis for two-factorial compositional data -- C. Barceló-Vidal and J.A. Martín-Fernández: Factor analysis of compositional data with a total -- M. Gallo, V. Simonacci and V. Todorov: A compositional three-way approach for student satisfaction analysis -- M. Templ: Artificial neuralnetworks to impute rounded zeros in compositional data -- E. Saus–Sala, À. Farreras–Noguer, N. Arimany–Serrat, and G. Coenders: Compositional du pont analysis. A visual tool for strategic financial performance assessment -- A. Menafoglio: Spatial statistics "]
[{"$nulls":4},"for distributional data in Bayes spaces: from object-oriented kriging to the analysis of warping functions -- C. Thomas-Agnan, T. Laurent, A. Ruiz-Gazen, N. Thi Huong An, R. Chakir and A. Lungarska: Spatial simultaneous autoregressive models for compositional data: application to land use -- Part III Applications -- A. Buccianti, C. Gozzi: The whole versus the parts: the challenge of compositional data analysis (CoDA) methods for geochemistry -- M.A. Engle and J.A. Chaput: Groundwater origin determination in historic chemical datasets through supervised compositional data analysis: Brines of the Permian Basin, USA -- J.M. McKinley, U. Mueller, P.M. Atkinson, U. Ofterdinger, S.F. Cox, R. Doherty, D. Fogarty and J.J. Egozcue -- Chronic kidney disease of uncertain aetiology and its relation with waterborne environmental toxins: An investigation via compositional balances -- R.A. Olea, J.A. Martín-Fernández and W.H. Craddock: Multivariate classification of the crude oil petroleum systems in southeast Texas, USA, using conventional and compositional data analysis of biomarkers -- J.R. Wu, J.M. Macklaim, B.L. Genge and G.B. Gloor: Finding the centre: compositional asymmetry in high-throughput sequencing datasets -- L. Huang and H. Li: Bayesian balance-regression in microbiome studies using stochastic search -- D.E. McGregor, P.M. Dall, J. Palarea-Albaladejo and S.F.M. Chastin: Compositional data analysis in physical activity and health research. Looking for the right balance -- D. Dumuid, Ž. Pedišić, J. Palarea-Albaladejo, J.A. Martín-Fernández, K. Hron and T. Olds: Compositional data analysis in time-use epidemiology."]
[null,null,null,"Sommario/riassunto","This book presents modern methods and real-world applications of compositional data analysis. It covers a wide variety of topics, ranging from an updated presentation of basic concepts and ideas in compositional data analysis to recent advances in the context of complex data structures. Further, it illustrates real-world applications in numerous scientific disciplines and includes references to the latest software solutions available for compositional data analysis, thus providing a valuable and up-to-date guide for researchers and practitioners working with compositional data. Featuring selected contributions by leading experts in the field, the book is dedicated to Vera Pawlowsky-Glahn on the occasion of her 70th birthday."]