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[null,"1.","Record Nr.",null,"UNINA9910820269703321"]
[null,null,"Autore",null,"Agresti Alan"]
[null,null,"Titolo",null,"Foundations of linear and generalized linear models / / Alan Agresti"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, New Jersey : , : John Wiley & Sons Inc., , [2015]"]
[{"$nulls":4},"2015"]
[null,null,"ISBN",null,"1-118-73005-4"]
[{"$nulls":4},"1-118-73030-5"]
[null,null,"Descrizione fisica",null,"1 online resource (472 pages) : illustrations"]
[null,null,"Collana",null,"Wiley series in probability and statistics"]
[null,null,"Classificazione",null,"MAT029000"]
[null,null,"Disciplina",null,"003/.74"]
[null,null,"Soggetti",null,"Linear models (Statistics)"]
[{"$nulls":4},"Mathematical analysis - Foundations"]
[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,null,"Sommario/riassunto","\"This book presents an overview of the foundations and the key ideas and results of linear and generalized linear models under one cover. Written by a prolific academic, researcher, and textbook writer, Foundations of Linear and Generalized Linear Models is soon to become the gold standard by which all existing textbooks on the topic will be compared. While the emphasis is clearly and succinctly on theoretical underpinnings, applications in \"R\" are presented when they help to elucidate the content or promote practical model building. Each chapter contains approximately 15-20 exercises, primarily for readers to practice and extend the theory, but, also to assimilate the ideas by doing some data analysis. The carefully crafted models and examples convey basic concepts and do not get mired down in non-trivial considerations. An author-maintained web site includes, among other numerous pedagogical supplements, analyses that parallel the \"R\" routines from the book in SAS, SPSS and Stata\"--"]