{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":1,"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":24,"n_cols":5,"rows_kept":24,"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],[10,2,10,3],[11,2,11,3],[12,2,12,3],[13,2,13,3],[14,2,14,3],[15,2,15,3],[17,2,17,3],[18,2,18,3],[22,2,22,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNINA9910970875503321"]
[null,null,"Autore",null,"Lindgren Georg <1940->"]
[null,null,"Titolo",null,"Stationary stochastic processes : theory and applications / / by Georg Lindgren"]
[null,null,"Pubbl/distr/stampa",null,"Boca Raton, FL : , : Chapman and Hall/CRC, an imprint of Taylor and Francis, , 2012"]
[null,null,"ISBN",null,"9781040161425"]
[{"$nulls":4},"1040161421"]
[{"$nulls":4},"9780429097980"]
[{"$nulls":4},"0429097980"]
[{"$nulls":4},"9781466557802"]
[{"$nulls":4},"146655780X"]
[null,null,"Edizione",null,"[First edition.]"]
[null,null,"Descrizione fisica",null,"1 online resource (367 p.)"]
[null,null,"Collana",null,"Chapman & Hall/CRC Texts in Statistical Science Series"]
[null,null,"Classificazione",null,"MAT029000MAT029010"]
[null,null,"Disciplina",null,"519.2/2"]
[null,null,"Soggetti",null,"Stationary processes"]
[{"$nulls":4},"Stochastic analysis"]
[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,"Front Cover; Dedication; Contents; List of figures; Preface; Acknowledgments; List of notations; 1. Some probability and process background; 2. Sample function properties; 3. Spectral representations; 4. Linearfilters - general properties; 5. Linearfilters - special topics; 6. Classical ergodic theory and mixing; 7. Vector processes and random fields; 8. Level crossings and excursions; A. Some probability theory; B. Spectral simulation of random processes; C. Commonly used spectra; D. Solutions and hints to selected exercises; Bibliography"]
[null,null,null,"Sommario/riassunto","Intended for a second course in stationary processes, Stationary Stochastic Processes: Theory and Applications presents the theory behind the field’s widely scattered applications in engineering and science. In addition, it reviews sample function properties and spectral representations for stationary processes and fields, including a portion on stationary point processes."]