Etudes sur l'Allemagne / M. Philarete Chasles

• Record Nr.: UNINA990004481090403321
• Autore: Philarete Chasles, M.
• Pubbl/distr/stampa: Paris, : Librairie D'Amyot, 1854-1861
• Descrizione fisica: 2 v. ; 18 cm
• Locazione: FLFBC
• Collocazione: 4/VIII B 16; 4/VIII B 17
• Lingua di pubblicazione: Francese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: 1.: Ancienne et moderne 2.: Au XIX siecle

Le forme giuridiche dell'acqua : le dimensioni costituzionali di uno strumento di coesione sociale e territoriale / Roberto Miccù, Michele Francaviglia

• Record Nr.: UNISALENTO991000139369707536
• Autore: Miccù, Roberto
• Pubbl/distr/stampa: Torino : Giappichelli, [2019]
• ISBN: 9788892130586
• Descrizione fisica: XII, 143 p. ; 24 cm.
• Collana: Regulating Prometheus ; 4
• Altri autori (Persone): Francaviglia, Micheleauthor
• Disciplina: 346.4504691
• Soggetti: Acqua - Gestione [e] Utilizzazione - Italia - Diritto costituzionale
• Lingua di pubblicazione: Italiano
• Formato: Materiale a stampa
• Livello bibliografico: Monografia

Designing the editorial experience : a primer for print, Web, and mobile / / Sue Apfelbaum and Juliette Cezzar

• Record Nr.: UNINA9910811625803321
• Autore: Apfelbaum Sue
• Pubbl/distr/stampa: Beverly, Massachusetts : , : Rockport Publishers, , 2014; ©2014
• ISBN: 1-62788-049-6
• Edizione: [1st edition]
• Descrizione fisica: 1 online resource (227 p.)
• Classificazione: DES001000DES007030DES007050
• Disciplina: 686.2/2
• Soggetti: Magazine design; Newspaper layout and typography; Graphic arts (Typography); Electronic publications - Design; Web sites - Design
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references and index.
• Sommario/riassunto: In a world of media that seems to be ever-changing, how do we define a newspaper, magazine or journal? Are we drinking our morning coffee on a Sunday as we sit down and read our newstablet? Look around any doctor’s office waiting room and you will find two people reading the same magazine, one holding the paper version, another on their phone.

Bayes Factors for Forensic Decision Analyses with R / / by Silvia Bozza, Franco Taroni, Alex Biedermann

• Record Nr.: UNINA9910623993803321
• Autore: Bozza Silvia
• Pubbl/distr/stampa: Cham, : Springer Nature, 2022; Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
• ISBN: 9783031098390; 3031098390
• Edizione: [1st ed. 2022.]
• Descrizione fisica: 1 online resource (XII, 187 p. 22 illus., 5 illus. in color.)
• Collana: Springer Texts in Statistics, , 2197-4136
• Disciplina: 519.5
• Soggetti: Statistics; Mathematical statistics - Data processing; Forensic sciences; Medical jurisprudence; Forensic psychology; Social sciences - Statistical methods; Statistical Theory and Methods; Statistics and Computing; Forensic Science; Forensic Medicine; Forensic Psychology; Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy; Estadística bayesiana; Processament de dades; Criminalística; R (Llenguatge de programació); Llibres electrònics
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Chapter 1: Introduction to the Bayes factor and decision analysis -- ; Chapter 2: Bayes factor for model choice -- Chapter 3: Bayes factor for evaluative purposes -- Chapter 4: Bayes factor for investigative purposes.
• Sommario/riassunto: Bayes Factors for Forensic Decision Analyses with R provides a self-contained introduction to computational Bayesian statistics using R. With its primary focus on Bayes factors supported by data sets, this book features an operational perspective, practical relevance, and applicability—keeping theoretical and philosophical justifications limited. It offers a balanced approach to three naturally interrelated topics: Probabilistic Inference - Relies on the core concept of Bayesian inferential statistics, to help practicing forensic scientists in the logical and balanced evaluation of the weight of evidence. Decision Making - Features how Bayes factors are interpreted in practical applications to help address questions of decision analysis involving the use of forensic science in the law. Operational Relevance - Combines inference and decision, backed up with practical examples and complete sample code in R, including sensitivity analyses and discussion on how to interpret results in context. Over the past decades, probabilistic methods have established a firm position as a reference approach for the management of uncertainty in virtually all areas of science, including forensic science, with Bayes' theorem providing the fundamental logical tenet for assessing how new information—scientific evidence—ought to be weighed. Central to this approach is the Bayes factor, which clarifies the evidential meaning of new information, by providing a measure of the change in the odds in favor of a proposition of interest, when going from the prior to the posterior distribution. Bayes factors should guide the scientist's thinking about the value of scientific evidence and form the basis of logical and balanced reporting practices, thus representing essential foundations for rational decision making under uncertainty. This book would be relevant to students, practitioners, and applied statisticians interested in inference and decision analyses in the critical field of forensic science. It could be used to support practical courses on Bayesian statistics and decision theory at both undergraduate and graduate levels, and will be of equal interest to forensic scientists and practitioners of Bayesian statistics for driving their evaluations and the use of R for their purposes. This book is Open Access.