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[null,"1.","Record Nr.",null,"UNINA9910456421003321"]
[null,null,"Titolo",null,"Arms and the man [[electronic resource] ] : military history essays in honor of Dennis Showalter / / edited by Michael S. Neiberg"]
[null,null,"Pubbl/distr/stampa",null,"Leiden ; ; Boston, : Brill, c2011"]
[null,null,"ISBN",null,"1-283-16186-9"]
[{"$nulls":4},"9786613161864"]
[{"$nulls":4},"90-04-20694-9"]
[null,null,"Descrizione fisica",null,"1 online resource (276 p.)"]
[null,null,"Collana",null,"History of warfare ; ; v. 68"]
[null,null,"Disciplina",null,"355.009"]
[null,null,"Soggetti",null,"Military history"]
[{"$nulls":4},"Military art and science - History"]
[{"$nulls":4},"Electronic books."]
[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","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Preliminary Material / M. S. Neiberg -- Introduction / Michael S. Neiberg -- Loving The German War Machine: America’s Infatuation With Blitzkrieg, Warfighters, And Militarism / William J. Astore -- ‘Clash Of The Titans’: Law Vs Security In World War II Britain / Mary Kathryn Barbier -- Military Cultures, Military Histories And The Current Emergency / Jeremy Black -- Manstein, The Battle Of Kharkov, And The Limits Of Command / Robert M. Citino -- The Question Of Medieval Military Professionalism / Kelly DeVries -- Modern Soldier In A Busby: August Von Mackensen, 1914–1916 / Richard L. DiNardo -- Winning And Losing: France On The Marne And On The Meuse / Robert A. Doughty -- The Forgotten Campaign: Alsace-Lorraine August 1914 / Holger H. Herwig -- “Total War, Total Nonsense” Or “The Military Historian’s Fetish” / Eugenia C. Kiesling -- England’s “Descent” On France And The Origins Of Blue-Water Strategy / Robert McJimsey -- Conclusion / Dennis Showalter -- List Of Books / Dennis Showalter -- Select Bibliography / M. S. Neiberg -- Index / M. S. Neiberg."]
[null,null,null,"Sommario/riassunto","These essays honor Dennis Showalter, a pioneer in the field of military history and a mentor to an entire generation of scholars. The essays themselves are written by some of the best-known and most highly-respected scholars in the field. They span the globe and cover a wide range of military history topics from the ancient world to the present day. As a group, this book represents not only a collection in honor of a "]
[{"$nulls":4},"great scholar, but a collection of some of the highest-quality cutting-edge scholarship in the field today. It will be of interest to anyone who wants to understand the history of warfare. Contributors are William J. Astore, Mary Kathryn Barbier, Jeremy Black, Robert M. Citino, Kelly DeVries, Richard L. DiNardo, Robert A. Doughty, Holger H. Herwig, Eugenia C. Kiesling, Robert McJimsey, Michael S. Neiberg and Dennis Showalter."]
[null,"2.","Record Nr.",null,"UNINA9910141259403321"]
[null,null,"Autore",null,"Lesaffre Emmanuel"]
[null,null,"Titolo",null,"Bayesian biostatistics [[electronic resource] /] / Emmanuel Lesaffre, Andrew B. Lawson"]
[null,null,"Pubbl/distr/stampa",null,"Chichester, West Sussex, : John Wiley & Sons, 2012"]
[null,null,"ISBN",null,"1-118-31457-3"]
[{"$nulls":4},"1-280-77255-7"]
[{"$nulls":4},"9786613683328"]
[{"$nulls":4},"1-118-31456-5"]
[{"$nulls":4},"1-119-94241-1"]
[{"$nulls":4},"1-119-94240-3"]
[null,null,"Descrizione fisica",null,"1 online resource (536 pages)"]
[null,null,"Collana",null,"Statistics in practice"]
[null,null,"Disciplina",null,"570.1/5195"]
[null,null,"Soggetti",null,"Biometry - Methodology"]
[{"$nulls":4},"Bayesian statistical decision theory"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Basic concepts in Bayesian methods -- Bayes theorem -- Posterior summary measures -- More than one parameter -- The prior distribution -- Markov chain Monte Carlo -- Software -- Hierarchical models -- Model building and assessment -- Variable selection -- Bioassay -- Measurement error -- Survival analysis -- Longitudinal analysis -- Disease mapping & image analysis -- Final chapter -- Distributions."]
[null,null,null,"Sommario/riassunto","The growth of biostatistics has been phenomenal in recent years and has been marked by considerable technical innovation in both methodology and computational practicality. One area that has experienced significant growth is Bayesian methods. The growing use of Bayesian methodology has taken place partly due to an increasing number of practitioners valuing the Bayesian paradigm as matching that of scientific discovery. In addition, computational advances have allowed for more complex models to be fitted routinely to realistic data sets.Through examples, exercises and a combination of introductory and more advanced chapters, this book provides an invaluable understanding of the complex world of biomedical statistics illustrated via a diverse range of applications taken from epidemiology, exploratory clinical studies, health promotion studies, image analysis "]
[{"$nulls":4},"and clinical trials."]
[{"$nulls":4},"Key Features: Provides an authoritative account of Bayesian methodology, from its most basic elements to its practical implementation, with an emphasis on healthcare techniques.Contains introductory explanations of Bayesian principles common to all areas of application.Presents clear and concise examples in biostatistics applications such as clinical trials, longitudinal studies, bioassay, survival, image analysis and bioinformatics.Illustrated throughout with examples using software including WinBUGS, OpenBUGS, SAS and various dedicated R programs.Highlights the differences between the Bayesian and classical approaches.Supported by an accompanying website hosting free software and case study guides.Bayesian Biostatistics introduces the reader smoothly into the Bayesian statistical methods with chapters that gradually increase in level of complexity. Master students in biostatistics, applied statisticians and all researchers with a good background in classical statistics who have interest in Bayesian methods will find this book useful."]