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[null,"1.","Record Nr.",null,"UNINA9910797021303321"]
[null,null,"Autore",null,"Sitek Arkadiusz"]
[null,null,"Titolo",null,"Statistical computing in nuclear imaging / / by Arkadiusz Sitek"]
[null,null,"Pubbl/distr/stampa",null,"Boca Raton, FL : , : CRC Press, an imprint of Taylor and Francis, , 2014"]
[null,null,"ISBN",null,"0-429-09154-0"]
[{"$nulls":4},"1-4987-2930-4"]
[null,null,"Edizione",null,"[First edition.]"]
[null,null,"Descrizione fisica",null,"1 online resource (264 p.)"]
[null,null,"Collana",null,"Series in medical physics and biomedical engineering"]
[null,null,"Disciplina",null,"616.07/57501519542"]
[null,null,"Soggetti",null,"Magnetic resonance imaging - Technological innovations"]
[{"$nulls":4},"Magnetic resonance imaging - Statistical methods"]
[{"$nulls":4},"Medical statistics - Data processing"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (pages 231-238) and index."]
[null,null,"Nota di contenuto",null,"Front Cover; Statistical Computing in Nuclear Imaging; Series in Medical Physics and Biomedical Engineering; Dedication; Contents; List of Figures; List of Tables; About the Series; Preface; About the Author; Chapter 1 Basic statistical concepts; Chapter 2 Elements of decision theory; Chapter 3 Counting statistics; Chapter 4 Monte Carlo methods in posterior analysis; Chapter 5 Basics of nuclear imaging; Chapter 6 Statistical computing; Appendix A Probability distributions; Appendix B Elements of set theory; Appendix C Multinomial distribution of singlevoxel"]
[{"$nulls":4},"Appendix D Derivations of sampling distribution ratiosAppendix E Equation (6.11); Appendix F C++ OE code for STS; References; Back Cover"]
[null,null,null,"Sommario/riassunto","Statistical Computing in Nuclear Imaging introduces aspects of Bayesian computing in nuclear imaging. The book provides an introduction to Bayesian statistics and concepts and is highly focused on the computational aspects of Bayesian data analysis of photon-limited data acquired in tomographic measurements."]
[null,"2.","Record Nr.",null,"UNINA9910552746903321"]
[null,null,"Autore",null,"Toni Paolo"]
[null,null,"Titolo",null,"100+1 Problems in Advanced Calculus : A Creative Journey through the Fjords of Mathematical Analysis for Beginners / / by Paolo Toni, Pier Domenico Lamberti, Giacomo Drago"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022"]
[null,null,"ISBN",null,"3-030-91863-7"]
[null,null,"Edizione",null,"[1st ed. 2022.]"]
[null,null,"Descrizione fisica",null,"1 online resource (233 pages)"]
[null,null,"Collana",null,"Problem Books in Mathematics, , 2197-8506"]
[null,null,"Disciplina",null,"515.8"]
[{"$nulls":4},"515"]
[null,null,"Soggetti",null,"Functions of real variables"]
[{"$nulls":4},"Mathematical analysis"]
[{"$nulls":4},"Real Functions"]
[{"$nulls":4},"Analysis"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Summary of basic theory of inequalities -- Sets, sequences, functions -- Limits of functions, continuity -- Differentiation -- Classical theorems of differential calculus -- Monotonicity, concavity, minima, maxima, inflection points -- Graphs of functions -- Integrals."]
[null,null,null,"Sommario/riassunto","This book convenes a collection of carefully selected problems in mathematical analysis, crafted to achieve maximum synergy between analytic geometry and algebra and favoring mathematical creativity in contrast to mere repetitive techniques. With eight chapters, this work guides the student through the basic principles of the subject, with a level of complexity that requires good use of imagination. In this work, all the fundamental concepts seen in a first-year Calculus course are covered. Problems touch on topics like inequalities, elementary point-set topology, limits of real-valued functions, differentiation, classical theorems of differential calculus (Rolle, Lagrange, Cauchy, and l’Hospital), graphs of functions, and Riemann integrals and antiderivatives. Every chapter starts with a theoretical background, in which relevant definitions and theorems are provided; then, related problems are presented. Formalism is kept at a minimum, and solutions can be found atthe end of each chapter. Instructors and students of Mathematical Analysis, Calculus and Advanced Calculus "]
[{"$nulls":4},"aimed at first-year undergraduates in Mathematics, Physics and Engineering courses can greatly benefit from this book, which can also serve as a rich supplement to any traditional textbook on these subjects as well."]