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[null,"1.","Record Nr.",null,"UNISALENTO991003248509707536"]
[null,null,"Autore",null,"Cox, I. J. (Ingemar J.)"]
[null,null,"Titolo",null,"Digital watermarking [electronic resource] / Ingemar J. Cox, Matthew L. Miller, Jeffrey A. Bloom"]
[null,null,"Pubbl/distr/stampa",null,"San Diego, CA : Academic Press, 2001"]
[null,null,"ISBN",null,"9781558607149"]
[{"$nulls":4},"1558607145"]
[null,null,"Descrizione fisica",null,"xxv, 542 p. : ill. ; 24 cm."]
[null,null,"Collana",null,"The Morgan Kaufmann series in multimedia information and systems"]
[null,null,"Disciplina",null,"005.8"]
[null,null,"Soggetti",null,"Computer security"]
[{"$nulls":4},"Digital watermarking"]
[{"$nulls":4},"Data protection"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Risorsa elettronica"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. 501-519) and index."]
[null,null,"Nota di contenuto",null,"Preface -- Example Watermarking Systems -- 1 Introduction -- 2 Applications and Properties -- 3 Models of Watermarking -- 4 Basic Message Coding -- 5 Watermarking with Side Information -- 6 Analyzing Errors -- 7 Using Perceptual Models -- 8 Robust Watermarking -- 9 Watermark Security -- 10 Content Authentication -- Appendix A: Background Concepts -- Appendix B: Selected Theoretical Results -- Appendix C: Source Code -- Appendix D: Notationand Common Variables -- Glossary -- References -- Index -- About the Authors."]
[null,null,null,"Sommario/riassunto","<p> Digital watermarking is a key ingredient to copyright protection. It provides a solution to illegal copying of digital material and has many other useful applications such as broadcast monitoring and the recording of electronic transactions. Now, for the first time, there is a book that focuses exclusively on this exciting technology. Digital Watermarking covers the crucial research findings in the field: it explains the principles underlying digital watermarking technologies, describes the requirements that have given rise to them, and discusses the diverse ends to which these technologies are being applied. As a result, additional groundwork is laid for future developments in this field, helping the reader understand and anticipate new approaches and applications. * Emphasizes the underlying watermarking principles that are relevant for all media: images, video, and audio. * Discusses a "]
[{"$nulls":4},"wide variety of applications, theoretical principles, detection and embedding concepts and the key properties of digital watermarks--robustness, fidelity, data payload, and security * Examines copyright protection and many other applications, including broadcast monitoring, transaction tracking, authentication, copy control, and device control. * Presents a series of detailed examples called \"Investigations\" that illustrate key watermarking concepts and practices. * Includes an appendix in the book and on the web containing the source code for the examples. * Includes a comprehensive glossary of watermarking terminology."]
[null,"2.","Record Nr.",null,"UNINA9910899898603321"]
[null,null,"Autore",null,"Toyoda Hideki <1961->"]
[null,null,"Titolo",null,"Statistical Significance and the PHC Curve / / by Hideki Toyoda"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"9789819777488"]
[{"$nulls":4},"9819777488"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (158 pages)"]
[null,null,"Disciplina",null,"519.56"]
[null,null,"Soggetti",null,"Social sciences - Statistical methods"]
[{"$nulls":4},"Statistics"]
[{"$nulls":4},"Markov processes"]
[{"$nulls":4},"Mathematical statistics"]
[{"$nulls":4},"Psychometrics"]
[{"$nulls":4},"Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy"]
[{"$nulls":4},"Statistical Theory and Methods"]
[{"$nulls":4},"Markov Process"]
[{"$nulls":4},"Bayesian Inference"]
[{"$nulls":4},"Parametric Inference"]
[{"$nulls":4},"Tests d'hipòtesi (Estadística)"]
[{"$nulls":4},"Llibres electrònics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Statistical Significance is Merely a Necessary Condition -- Academic Journals Filled with Redundant Papers -- Sample size must be determined in advance along with the evidence provided -- Does the Fact of Deciding in Advance Guarantee Permanence -- The Probability of a Research Hypothesis Being Correct."]
[null,null,null,"Sommario/riassunto","This book explains the importance of using the probability that the hypothesis is correct (PHC), an intuitive measure that anyone can understand, as an alternative to the p-value. In order to overcome the “reproducibility crisis” caused by the misuse of significance tests, this book provides a detailed explanation of the mechanism of p-hacking using significance tests, and concretely shows the merits of PHC as an alternative to p-values. In March 2019, two impactful papers on statistics were published. One paper, \"Moving to a World Beyond ‘p < "]
[{"$nulls":4},"0.05’”, was featured in the scholarly journal The American Statistician, overseen by the American Statistical Association. The title of the first chapter is “Don't Say ‘Statistically Significant’”, and it uses the imperative form to clearly forbid the use of significance testing. Another paper, “Retire statistical significance”, was published in the prestigious scientific journal Nature. This commentary was endorsed by more than 800 scientists, advocating for the statement, “We agree, and call for the entire concept of statistical significance to be abandoned.” Consider a study comparing the duration of hospital stays between treatments A and B. Previously, research conclusions were typically stated as: “There was a statistically significant difference at the 5% level in the average duration of hospital stays.” This phrasing is quite abstract. Instead, we present the following conclusion as an example: (1) The average duration of hospital stays for Group A is at least half a day shorter than for Group B. (2) 71% of patients in Group A have shorter hospital stays than the average for Group B. (3) Group A has an average hospital stay that is, on average, no more than 94% of that of Group B. Then, the probability that the expression is correct is shown. That is the PHC curve."]