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Título : Generalised Thermostatistics Tipo de documento: documento electrónico Autores: Jan Naudts ; SpringerLink (Online service) Editorial: London : Springer London Fecha de publicación: 2011 Número de páginas: XI, 201 p Il.: online resource ISBN/ISSN/DL: 978-0-85729-355-8 Idioma : Inglés (eng) Palabras clave: Mathematics Physics Thermodynamics Statistical physics Dynamical systems Mathematics, general Physics, Systems and Complexity Mathematical Methods in Clasificación: 51 Matemáticas Resumen: The domain of non-extensive thermostatistics has been subject to intensive research over the past twenty years and has matured significantly. Generalised Thermostatistics cuts through the traditionalism of many statistical physics texts by offering a fresh perspective and seeking to remove elements of doubt and confusion surrounding the area. The book is divided into two parts - the first covering topics from conventional statistical physics, whilst adopting the perspective that statistical physics is statistics applied to physics. The second developing the formalism of non-extensive thermostatistics, of which the central role is played by the notion of a deformed exponential family of probability distributions. Presented in a clear, consistent, and deductive manner, the book focuses on theory, part of which is developed by the author himself, but also provides a number of references towards application-based texts. Written by a leading contributor in the field, this book will provide a useful tool for learning about recent developments in generalized versions of statistical mechanics and thermodynamics, especially with respect to self-study. Written for researchers in theoretical physics, mathematics and statistical mechanics, as well as graduates of physics, mathematics or engineering. A prerequisite knowledge of elementary notions of statistical physics and a substantial mathematical background are required Nota de contenido: Parameter estimation -- Statistical Models -- Thermodynamic Equilibrium -- The Microcanonical Ensemble -- Hyperensembles -- The Mean Field Approximation -- q-Deformed Distributions -- Tsallis’ Thermostatistics -- Changes of Scale -- General deformations -- General Entropies En línea: http://dx.doi.org/10.1007/978-0-85729-355-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33128 Generalised Thermostatistics [documento electrónico] / Jan Naudts ; SpringerLink (Online service) . - London : Springer London, 2011 . - XI, 201 p : online resource.
ISBN : 978-0-85729-355-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Physics Thermodynamics Statistical physics Dynamical systems Mathematics, general Physics, Systems and Complexity Mathematical Methods in Clasificación: 51 Matemáticas Resumen: The domain of non-extensive thermostatistics has been subject to intensive research over the past twenty years and has matured significantly. Generalised Thermostatistics cuts through the traditionalism of many statistical physics texts by offering a fresh perspective and seeking to remove elements of doubt and confusion surrounding the area. The book is divided into two parts - the first covering topics from conventional statistical physics, whilst adopting the perspective that statistical physics is statistics applied to physics. The second developing the formalism of non-extensive thermostatistics, of which the central role is played by the notion of a deformed exponential family of probability distributions. Presented in a clear, consistent, and deductive manner, the book focuses on theory, part of which is developed by the author himself, but also provides a number of references towards application-based texts. Written by a leading contributor in the field, this book will provide a useful tool for learning about recent developments in generalized versions of statistical mechanics and thermodynamics, especially with respect to self-study. Written for researchers in theoretical physics, mathematics and statistical mechanics, as well as graduates of physics, mathematics or engineering. A prerequisite knowledge of elementary notions of statistical physics and a substantial mathematical background are required Nota de contenido: Parameter estimation -- Statistical Models -- Thermodynamic Equilibrium -- The Microcanonical Ensemble -- Hyperensembles -- The Mean Field Approximation -- q-Deformed Distributions -- Tsallis’ Thermostatistics -- Changes of Scale -- General deformations -- General Entropies En línea: http://dx.doi.org/10.1007/978-0-85729-355-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33128 Ejemplares
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Título : Applied Predictive Modeling Tipo de documento: documento electrónico Autores: Max Kuhn ; SpringerLink (Online service) ; Kjell Johnson Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Número de páginas: XIII, 600 p. 203 illus., 153 illus. in color Il.: online resource ISBN/ISSN/DL: 978-1-4614-6849-3 Idioma : Inglés (eng) Palabras clave: Statistics for Life Sciences, Medicine, Health Sciences and Computing/Statistics Programs Statistics, general Clasificación: 51 Matemáticas Resumen: This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. Dr. Kuhn is a Director of Non-Clinical Statistics at Pfizer Global R&D in Groton Connecticut. He has been applying predictive models in the pharmaceutical and diagnostic industries for over 15 years and is the author of a number of R packages. Dr. Johnson has more than a decade of statistical consulting and predictive modeling experience in pharmaceutical research and development. He is a co-founder of Arbor Analytics, a firm specializing in predictive modeling and is a former Director of Statistics at Pfizer Global R&D. His scholarly work centers on the application and development of statistical methodology and learning algorithms. Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. Addressing practical concerns extends beyond model fitting to topics such as handling class imbalance, selecting predictors, and pinpointing causes of poor model performance—all of which are problems that occur frequently in practice. The text illustrates all parts of the modeling process through many hands-on, real-life examples. And every chapter contains extensive R code for each step of the process. The data sets and corresponding code are available in the book’s companion AppliedPredictiveModeling R package, which is freely available on the CRAN archive. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. Readers and students interested in implementing the methods should have some basic knowledge of R. And a handful of the more advanced topics require some mathematical knowledge Nota de contenido: General Strategies -- Regression Models -- Classification Models -- Other Considerations -- Appendix -- References -- Indices En línea: http://dx.doi.org/10.1007/978-1-4614-6849-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32319 Applied Predictive Modeling [documento electrónico] / Max Kuhn ; SpringerLink (Online service) ; Kjell Johnson . - New York, NY : Springer New York : Imprint: Springer, 2013 . - XIII, 600 p. 203 illus., 153 illus. in color : online resource.
ISBN : 978-1-4614-6849-3
Idioma : Inglés (eng)
Palabras clave: Statistics for Life Sciences, Medicine, Health Sciences and Computing/Statistics Programs Statistics, general Clasificación: 51 Matemáticas Resumen: This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. Dr. Kuhn is a Director of Non-Clinical Statistics at Pfizer Global R&D in Groton Connecticut. He has been applying predictive models in the pharmaceutical and diagnostic industries for over 15 years and is the author of a number of R packages. Dr. Johnson has more than a decade of statistical consulting and predictive modeling experience in pharmaceutical research and development. He is a co-founder of Arbor Analytics, a firm specializing in predictive modeling and is a former Director of Statistics at Pfizer Global R&D. His scholarly work centers on the application and development of statistical methodology and learning algorithms. Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. Addressing practical concerns extends beyond model fitting to topics such as handling class imbalance, selecting predictors, and pinpointing causes of poor model performance—all of which are problems that occur frequently in practice. The text illustrates all parts of the modeling process through many hands-on, real-life examples. And every chapter contains extensive R code for each step of the process. The data sets and corresponding code are available in the book’s companion AppliedPredictiveModeling R package, which is freely available on the CRAN archive. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. Readers and students interested in implementing the methods should have some basic knowledge of R. And a handful of the more advanced topics require some mathematical knowledge Nota de contenido: General Strategies -- Regression Models -- Classification Models -- Other Considerations -- Appendix -- References -- Indices En línea: http://dx.doi.org/10.1007/978-1-4614-6849-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32319 Ejemplares
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Título : Cellular Automaton Modeling of Biological Pattern Formation : Characterization, Applications, and Analysis Tipo de documento: documento electrónico Autores: Andreas Deutsch ; SpringerLink (Online service) ; Sabine Dormann Editorial: Boston, MA : Birkhäuser Boston Fecha de publicación: 2005 Colección: Modeling and Simulation in Science, Engineering and Technology, ISSN 2164-3679 Número de páginas: XXIII, 331 p Il.: online resource ISBN/ISSN/DL: 978-0-8176-4415-4 Idioma : Inglés (eng) Palabras clave: Life sciences Computer simulation Applied mathematics Engineering Mathematical models Biomathematics Sciences Sciences, general and Computational Biology Modeling Industrial Mathematics Physiological, Cellular Medical Topics Applications of Simulation Clasificación: 51 Matemáticas Resumen: This book focuses on a challenging application field of cellular automata: pattern formation in biological systems, such as the growth of microorganisms, dynamics of cellular tissue and tumors, and formation of pigment cell patterns. These phenomena, resulting from complex cellular interactions, cannot be deduced solely from experimental analysis, but can be more easily examined using mathematical models, in particular, cellular automaton models. While there are various books treating cellular automaton modeling, this interdisciplinary work is the first one covering biological applications. The book is divided into three parts: Part I deals with general principles, theories, and models of pattern formation; Part II examines cellular automaton modeling; and Part III explains various applications. The models and analytic techniques described may be extended to other exciting applications in biology, medicine, and immunology. Key topics and features: * Provides an introduction and historical account of the principles of biological pattern formation (morphogenesis) * Gives an overview of mathematical modeling approaches to morphogenesis, and an introduction to cellular automata and analytic techniques * A supplementary web-based Java applet---Cellular Automaton Simulator---enables interactive simulation of various cellular automaton applications described in the book; available on the internet at www.biomodeling.info * Self-contained presentation is accessible to a broad audience; only basic calculus and linear algebra are required * Careful balance of theory, models, and applications useful to both experimentalists and theoreticians * Includes suggestions for further research topics The book is aimed at researchers, practitioners, and students in applied mathematics, mathematical biology, computational physics, bioengineering, and computer science interested in a cellular automaton approach to biological modeling. The book's accessible presentation and interdisciplinary approach make it suitable for graduate and advanced undergraduate courses and seminars in mathematical biology, biomodeling, and biocomputing Nota de contenido: General Principles, Theories, and Models of Pattern Formation -- and Outline -- On the Origin of Patterns -- Mathematical Modeling of Biological Pattern Formation -- Cellular Automaton Modeling -- Cellular Automata -- Applications -- Random Movement -- Growth Processes -- Adhesive Cell Interaction -- Alignment and Cellular Swarming -- Pigment Cell Pattern Formation -- Tissue and Tumor Development -- Turing Patterns and Excitable Media -- Discussion and Outlook En línea: http://dx.doi.org/10.1007/b138451 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35173 Cellular Automaton Modeling of Biological Pattern Formation : Characterization, Applications, and Analysis [documento electrónico] / Andreas Deutsch ; SpringerLink (Online service) ; Sabine Dormann . - Boston, MA : Birkhäuser Boston, 2005 . - XXIII, 331 p : online resource. - (Modeling and Simulation in Science, Engineering and Technology, ISSN 2164-3679) .
ISBN : 978-0-8176-4415-4
Idioma : Inglés (eng)
Palabras clave: Life sciences Computer simulation Applied mathematics Engineering Mathematical models Biomathematics Sciences Sciences, general and Computational Biology Modeling Industrial Mathematics Physiological, Cellular Medical Topics Applications of Simulation Clasificación: 51 Matemáticas Resumen: This book focuses on a challenging application field of cellular automata: pattern formation in biological systems, such as the growth of microorganisms, dynamics of cellular tissue and tumors, and formation of pigment cell patterns. These phenomena, resulting from complex cellular interactions, cannot be deduced solely from experimental analysis, but can be more easily examined using mathematical models, in particular, cellular automaton models. While there are various books treating cellular automaton modeling, this interdisciplinary work is the first one covering biological applications. The book is divided into three parts: Part I deals with general principles, theories, and models of pattern formation; Part II examines cellular automaton modeling; and Part III explains various applications. The models and analytic techniques described may be extended to other exciting applications in biology, medicine, and immunology. Key topics and features: * Provides an introduction and historical account of the principles of biological pattern formation (morphogenesis) * Gives an overview of mathematical modeling approaches to morphogenesis, and an introduction to cellular automata and analytic techniques * A supplementary web-based Java applet---Cellular Automaton Simulator---enables interactive simulation of various cellular automaton applications described in the book; available on the internet at www.biomodeling.info * Self-contained presentation is accessible to a broad audience; only basic calculus and linear algebra are required * Careful balance of theory, models, and applications useful to both experimentalists and theoreticians * Includes suggestions for further research topics The book is aimed at researchers, practitioners, and students in applied mathematics, mathematical biology, computational physics, bioengineering, and computer science interested in a cellular automaton approach to biological modeling. The book's accessible presentation and interdisciplinary approach make it suitable for graduate and advanced undergraduate courses and seminars in mathematical biology, biomodeling, and biocomputing Nota de contenido: General Principles, Theories, and Models of Pattern Formation -- and Outline -- On the Origin of Patterns -- Mathematical Modeling of Biological Pattern Formation -- Cellular Automaton Modeling -- Cellular Automata -- Applications -- Random Movement -- Growth Processes -- Adhesive Cell Interaction -- Alignment and Cellular Swarming -- Pigment Cell Pattern Formation -- Tissue and Tumor Development -- Turing Patterns and Excitable Media -- Discussion and Outlook En línea: http://dx.doi.org/10.1007/b138451 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35173 Ejemplares
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Título : Handbook of Ratings : Approaches to Ratings in the Economy, Sports, and Society Tipo de documento: documento electrónico Autores: Alexander Karminsky ; Andrey Polozov ; SpringerLink (Online service) Editorial: Cham : Springer International Publishing Fecha de publicación: 2016 Otro editor: Imprint: Springer Número de páginas: XVIII, 356 p. 44 illus., 12 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-319-39261-5 Idioma : Inglés (eng) Palabras clave: Finance Statistics Sports Economic aspects Finance, general Economics for Business/Economics/Mathematical Finance/Insurance Clasificación: 330 Economía en general Resumen: This handbook presents a systematic overview of approaches to, diversity, and problems involved in interdisciplinary rating methodologies. Historically, the purpose of ratings is to achieve information transparency regarding a given body's activities, whether in the field of finance, banking, or sports for example. This book focuses on commonly used rating methods in three important fields: finance, sports, and the social sector. In the world of finance, investment decisions are largely shaped by how positively or negatively economies or financial instruments are rated. Ratings have thus become a basis of trust for investors. Similarly, sports evaluation and funding are largely based on core ratings. From local communities to groups of nations, public investment and funding are also dependent on how these bodies are continuously rated against expected performance targets. As such, ratings need to reflect the consensus of all stakeholders on selected aspects of the work and how to evaluate their success. The public should also have the opportunity to participate in this process. The authors examine current rating approaches from a variety of proposals that are closest to the public consensus, analyzing the rating models and summarizing the methods of their construction. This handbook offers a valuable reference guide for managers, analysts, economists, business informatics specialists, and researchers alike Nota de contenido: General Approaches to Ratings: Ratings as Tools of Informational Transparency -- Ratings in the Economy and Business: Credit Ratings as Financial Risk Measure -- Modelling of Credit Ratings -- Ratings for the Regulation of Financial Markets -- Ratings of Quality and Management -- Ratings and Rankings in Sports: Problem of Rating in Sports and Its Possible Solutions -- Evolution of Ideas About Rating and Ranking in Sports -- A Universal Solution to the Problem of Ratings and Rankings in Sports -- Management Based on the Universal Rating Model -- Ratings and Rankings in Public Life. En línea: http://dx.doi.org/10.1007/978-3-319-39261-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=41656 Handbook of Ratings : Approaches to Ratings in the Economy, Sports, and Society [documento electrónico] / Alexander Karminsky ; Andrey Polozov ; SpringerLink (Online service) . - Cham : Springer International Publishing : Imprint: Springer, 2016 . - XVIII, 356 p. 44 illus., 12 illus. in color : online resource.
ISBN : 978-3-319-39261-5
Idioma : Inglés (eng)
Palabras clave: Finance Statistics Sports Economic aspects Finance, general Economics for Business/Economics/Mathematical Finance/Insurance Clasificación: 330 Economía en general Resumen: This handbook presents a systematic overview of approaches to, diversity, and problems involved in interdisciplinary rating methodologies. Historically, the purpose of ratings is to achieve information transparency regarding a given body's activities, whether in the field of finance, banking, or sports for example. This book focuses on commonly used rating methods in three important fields: finance, sports, and the social sector. In the world of finance, investment decisions are largely shaped by how positively or negatively economies or financial instruments are rated. Ratings have thus become a basis of trust for investors. Similarly, sports evaluation and funding are largely based on core ratings. From local communities to groups of nations, public investment and funding are also dependent on how these bodies are continuously rated against expected performance targets. As such, ratings need to reflect the consensus of all stakeholders on selected aspects of the work and how to evaluate their success. The public should also have the opportunity to participate in this process. The authors examine current rating approaches from a variety of proposals that are closest to the public consensus, analyzing the rating models and summarizing the methods of their construction. This handbook offers a valuable reference guide for managers, analysts, economists, business informatics specialists, and researchers alike Nota de contenido: General Approaches to Ratings: Ratings as Tools of Informational Transparency -- Ratings in the Economy and Business: Credit Ratings as Financial Risk Measure -- Modelling of Credit Ratings -- Ratings for the Regulation of Financial Markets -- Ratings of Quality and Management -- Ratings and Rankings in Sports: Problem of Rating in Sports and Its Possible Solutions -- Evolution of Ideas About Rating and Ranking in Sports -- A Universal Solution to the Problem of Ratings and Rankings in Sports -- Management Based on the Universal Rating Model -- Ratings and Rankings in Public Life. En línea: http://dx.doi.org/10.1007/978-3-319-39261-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=41656 Ejemplares
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Título : MacLaurin’s Physical Dissertations Tipo de documento: documento electrónico Autores: Ian Tweddle ; SpringerLink (Online service) Editorial: London : Springer London Fecha de publicación: 2007 Colección: Sources and Studies in the History of Mathematics and Physical Sciences, ISSN 2196-8810 Número de páginas: VIII, 224 p Il.: online resource ISBN/ISSN/DL: 978-1-84628-776-3 Idioma : Inglés (eng) Palabras clave: Mathematics Earth sciences Applied mathematics Engineering History Continuum physics Physics of Mathematical Sciences Applications Classical and Philosophical Foundations Sciences, general Clasificación: 51 Matemáticas Resumen: The Scottish mathematician Colin MacLaurin (1698-1746) is best known for developing and extending Newton’s work in calculus, geometry and gravitation; his 2-volume work "Treatise of Fluxions" (1742) was the first systematic exposition of Newton’s methods. It is well known that MacLaurin was awarded prizes by the Royal Academy of Sciences, Paris, for his earlier work on the collision of bodies (1724) and the tides (1740); however, the contents of these essays are less familiar – although some of the material is discussed in the Treatise of Fluxions - and the essays themselves often hard to obtain. This book presents these important works in translation for the first time, preceded by a translation of MacLaurin’s MA dissertation on gravity (Glasgow, 1713) which provides evidence of his early study of Newtonian principles. In his essentially descriptive discussion of gravity MacLaurin ranges over planetary orbits, vortices and theology. His discussion of collisions includes a disputatious account of what should be understood by the force of a moving body, a contentious topic at the time. The essay on the tides has the original version of his celebrated theorem on the equilibrium of a spheroidal fluid mass and employs a remarkable combination of geometry and calculus to determine forces of attraction. The aim is to make this material more generally accessible to researchers and students in mathematics and physics, and indeed to anyone with an interest in the historical development of these subjects. A general introduction puts the works in context and gives an outline of MacLaurin's career. Each translation is then accompanied by an introduction and a series of notes and appendices in which individual results are analysed, both in modern terms and from a historical point of view. Background material is also provided Nota de contenido: General Introduction -- General Introduction -- MacLaurin on Gravity -- to Part I -- Translation of MacLaurin’s Dissertation -- MacLaurin on Collisions -- to Part II -- Translation of MacLaurin’s Essay -- MacLaurin on the Tides -- to Part III -- Translation of MacLaurin’s Essay En línea: http://dx.doi.org/10.1007/978-1-84628-776-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34589 MacLaurin’s Physical Dissertations [documento electrónico] / Ian Tweddle ; SpringerLink (Online service) . - London : Springer London, 2007 . - VIII, 224 p : online resource. - (Sources and Studies in the History of Mathematics and Physical Sciences, ISSN 2196-8810) .
ISBN : 978-1-84628-776-3
Idioma : Inglés (eng)
Palabras clave: Mathematics Earth sciences Applied mathematics Engineering History Continuum physics Physics of Mathematical Sciences Applications Classical and Philosophical Foundations Sciences, general Clasificación: 51 Matemáticas Resumen: The Scottish mathematician Colin MacLaurin (1698-1746) is best known for developing and extending Newton’s work in calculus, geometry and gravitation; his 2-volume work "Treatise of Fluxions" (1742) was the first systematic exposition of Newton’s methods. It is well known that MacLaurin was awarded prizes by the Royal Academy of Sciences, Paris, for his earlier work on the collision of bodies (1724) and the tides (1740); however, the contents of these essays are less familiar – although some of the material is discussed in the Treatise of Fluxions - and the essays themselves often hard to obtain. This book presents these important works in translation for the first time, preceded by a translation of MacLaurin’s MA dissertation on gravity (Glasgow, 1713) which provides evidence of his early study of Newtonian principles. In his essentially descriptive discussion of gravity MacLaurin ranges over planetary orbits, vortices and theology. His discussion of collisions includes a disputatious account of what should be understood by the force of a moving body, a contentious topic at the time. The essay on the tides has the original version of his celebrated theorem on the equilibrium of a spheroidal fluid mass and employs a remarkable combination of geometry and calculus to determine forces of attraction. The aim is to make this material more generally accessible to researchers and students in mathematics and physics, and indeed to anyone with an interest in the historical development of these subjects. A general introduction puts the works in context and gives an outline of MacLaurin's career. Each translation is then accompanied by an introduction and a series of notes and appendices in which individual results are analysed, both in modern terms and from a historical point of view. Background material is also provided Nota de contenido: General Introduction -- General Introduction -- MacLaurin on Gravity -- to Part I -- Translation of MacLaurin’s Dissertation -- MacLaurin on Collisions -- to Part II -- Translation of MacLaurin’s Essay -- MacLaurin on the Tides -- to Part III -- Translation of MacLaurin’s Essay En línea: http://dx.doi.org/10.1007/978-1-84628-776-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34589 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar PermalinkAccounting and Regulation / SpringerLink (Online service) ; Roberto Di Pietra ; Stuart McLeay ; Joshua Ronen (2014)
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