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Autor Mario Lefebvre |
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Título : Applied Probability and Statistics Tipo de documento: documento electrónico Autores: Mario Lefebvre ; SpringerLink (Online service) Editorial: New York, NY : Springer New York Fecha de publicación: 2006 Número de páginas: XVIII, 358 p Il.: online resource ISBN/ISSN/DL: 978-0-387-28505-4 Idioma : Inglés (eng) Palabras clave: Mathematics Mathematical statistics Probabilities Statistics Probability Theory and Stochastic Processes for Engineering, Physics, Computer Science, Chemistry Earth Sciences in Science Clasificación: 51 Matemáticas Resumen: This text is designed for a one-semester course on Probability and Statistics. The exposition unfolds systematically from an introductory chapter to such topics as random variables and vectors, stochastic processes, estimation, testing and regression. The topics are well chosen and the presentation is enriched by many examples from real life. Following every chapter, the reader will find many original, solved and unsolved problems and hundreds of multiple choice questions, enabling those unfamiliar with the topics to master them. Additionally appealing are the interesting historical notes on the mathematicians mentioned throughout and a useful bibliography. A distinguishing character of the book is the thorough and succinct handling of the various topics. This book assumes a basic knowledge of differential and integral calculus. Whether in a classroom setting or for self-study, this textbook will benefit students in applied mathematics, engineering, computer science and in the applied sciences in general. A separate solutions manual is available to instructors Nota de contenido: Introduction -- Elementary Probabilities -- Random Variables -- Random Vectors -- Stochastic Processes -- Estimation and Testing -- Simple Linear Regression -- Appendices: Mathematical Formulas -- Quantiles – Sampling Distributions -- Classification of the Exercises -- Answers – Multiple Choice Questions -- Answers to Selected Exercises En línea: http://dx.doi.org/10.1007/0-387-28505-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34751 Applied Probability and Statistics [documento electrónico] / Mario Lefebvre ; SpringerLink (Online service) . - New York, NY : Springer New York, 2006 . - XVIII, 358 p : online resource.
ISBN : 978-0-387-28505-4
Idioma : Inglés (eng)
Palabras clave: Mathematics Mathematical statistics Probabilities Statistics Probability Theory and Stochastic Processes for Engineering, Physics, Computer Science, Chemistry Earth Sciences in Science Clasificación: 51 Matemáticas Resumen: This text is designed for a one-semester course on Probability and Statistics. The exposition unfolds systematically from an introductory chapter to such topics as random variables and vectors, stochastic processes, estimation, testing and regression. The topics are well chosen and the presentation is enriched by many examples from real life. Following every chapter, the reader will find many original, solved and unsolved problems and hundreds of multiple choice questions, enabling those unfamiliar with the topics to master them. Additionally appealing are the interesting historical notes on the mathematicians mentioned throughout and a useful bibliography. A distinguishing character of the book is the thorough and succinct handling of the various topics. This book assumes a basic knowledge of differential and integral calculus. Whether in a classroom setting or for self-study, this textbook will benefit students in applied mathematics, engineering, computer science and in the applied sciences in general. A separate solutions manual is available to instructors Nota de contenido: Introduction -- Elementary Probabilities -- Random Variables -- Random Vectors -- Stochastic Processes -- Estimation and Testing -- Simple Linear Regression -- Appendices: Mathematical Formulas -- Quantiles – Sampling Distributions -- Classification of the Exercises -- Answers – Multiple Choice Questions -- Answers to Selected Exercises En línea: http://dx.doi.org/10.1007/0-387-28505-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34751 Ejemplares
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Título : Applied Stochastic Processes Tipo de documento: documento electrónico Autores: Mario Lefebvre ; SpringerLink (Online service) Editorial: New York, NY : Springer New York Fecha de publicación: 2007 Colección: Universitext, ISSN 0172-5939 Número de páginas: XIII, 382 p. 12 illus Il.: online resource ISBN/ISSN/DL: 978-0-387-48976-6 Idioma : Inglés (eng) Palabras clave: Mathematics Operations research Management science Probabilities Applied mathematics Engineering Probability Theory and Stochastic Processes Research, Science Appl.Mathematics/Computational Methods of Clasificación: 51 Matemáticas Resumen: Applied Stochastic Processes uses a distinctly applied framework to present the most important topics in the field of stochastic processes. Key features: -Presents carefully chosen topics such as Gaussian and Markovian processes, Markov chains, Poisson processes, Brownian motion, and queueing theory -Examines in detail special diffusion processes, with implications for finance, various generalizations of Poisson processes, and renewal processes -Serves graduate students in a variety of disciplines such as applied mathematics, operations research, engineering, finance, and business administration -Contains numerous examples and approximately 350 advanced problems, reinforcing both concepts and applications -Includes entertaining mini-biographies of mathematicians, giving an enriching historical context -Covers basic results in probability Two appendices with statistical tables and solutions to the even-numbered problems are included at the end. This textbook is for graduate students in applied mathematics, operations research, and engineering. Pure mathematics students interested in the applications of probability and stochastic processes and students in business administration will also find this book useful. Bio: Mario Lefebvre received his B.Sc. and M.Sc. in mathematics from the Université de Montréal, Canada, and his Ph.D. in mathematics from the University of Cambridge, England. He is a professor in the Department of Mathematics and Industrial Engineering at the École Polytechnique de Montréal. He has written five books, including another Springer title, Applied Probability and Statistics, and has published numerous papers on applied probability, statistics, and stochastic processes in international mathematical and engineering journals. This book developed from the author’s lecture notes for a course he has taught at the École Polytechnique de Montréal since 1988 Nota de contenido: Review of Probability Theory -- Stochastic Processes -- Markov Chains -- Diffusion Processes -- Poisson Processes -- Queueing Theory En línea: http://dx.doi.org/10.1007/978-0-387-48976-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34486 Applied Stochastic Processes [documento electrónico] / Mario Lefebvre ; SpringerLink (Online service) . - New York, NY : Springer New York, 2007 . - XIII, 382 p. 12 illus : online resource. - (Universitext, ISSN 0172-5939) .
ISBN : 978-0-387-48976-6
Idioma : Inglés (eng)
Palabras clave: Mathematics Operations research Management science Probabilities Applied mathematics Engineering Probability Theory and Stochastic Processes Research, Science Appl.Mathematics/Computational Methods of Clasificación: 51 Matemáticas Resumen: Applied Stochastic Processes uses a distinctly applied framework to present the most important topics in the field of stochastic processes. Key features: -Presents carefully chosen topics such as Gaussian and Markovian processes, Markov chains, Poisson processes, Brownian motion, and queueing theory -Examines in detail special diffusion processes, with implications for finance, various generalizations of Poisson processes, and renewal processes -Serves graduate students in a variety of disciplines such as applied mathematics, operations research, engineering, finance, and business administration -Contains numerous examples and approximately 350 advanced problems, reinforcing both concepts and applications -Includes entertaining mini-biographies of mathematicians, giving an enriching historical context -Covers basic results in probability Two appendices with statistical tables and solutions to the even-numbered problems are included at the end. This textbook is for graduate students in applied mathematics, operations research, and engineering. Pure mathematics students interested in the applications of probability and stochastic processes and students in business administration will also find this book useful. Bio: Mario Lefebvre received his B.Sc. and M.Sc. in mathematics from the Université de Montréal, Canada, and his Ph.D. in mathematics from the University of Cambridge, England. He is a professor in the Department of Mathematics and Industrial Engineering at the École Polytechnique de Montréal. He has written five books, including another Springer title, Applied Probability and Statistics, and has published numerous papers on applied probability, statistics, and stochastic processes in international mathematical and engineering journals. This book developed from the author’s lecture notes for a course he has taught at the École Polytechnique de Montréal since 1988 Nota de contenido: Review of Probability Theory -- Stochastic Processes -- Markov Chains -- Diffusion Processes -- Poisson Processes -- Queueing Theory En línea: http://dx.doi.org/10.1007/978-0-387-48976-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34486 Ejemplares
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Título : Basic Probability Theory with Applications Tipo de documento: documento electrónico Autores: Mario Lefebvre ; SpringerLink (Online service) Editorial: New York, NY : Springer New York Fecha de publicación: 2009 Colección: Springer Undergraduate Texts in Mathematics and Technology, ISSN 1867-5506 Número de páginas: XVI, 340 p. 50 illus Il.: online resource ISBN/ISSN/DL: 978-0-387-74995-2 Idioma : Inglés (eng) Palabras clave: Mathematics Mathematical statistics Probabilities Applied mathematics Engineering Economic theory Probability Theory and Stochastic Processes Appl.Mathematics/Computational Methods of Statistics in Computer Science Theory/Quantitative Economics/Mathematical Clasificación: 51 Matemáticas Resumen: This book presents elementary probability theory with interesting and well-chosen applications that illustrate the theory. An introductory chapter reviews the basic elements of differential calculus which are used in the material to follow. The theory is presented systematically, beginning with the main results in elementary probability theory. This is followed by material on random variables. Random vectors, including the all important central limit theorem, are treated next. The last three chapters concentrate on applications of this theory in the areas of reliability theory, basic queuing models, and time series. Examples are elegantly woven into the text and over 400 exercises reinforce the material and provide students with ample practice. This textbook can be used by undergraduate students in pure and applied sciences such as mathematics, engineering, computer science, finance and economics. A separate solutions manual is available to instructors who adopt the text for their course Nota de contenido: Preface -- Review of Differential Calculus -- Elementary Probability -- Random Variables -- Random Vectors -- Reliability -- Queueing -- Time Series -- Appendix A: List of Symbols and Abbreviations -- Appendix B: Statistical Tables -- Appendix C: Solutions to 'Solved Exercises' -- Appendix D: Answers to Even-Numbered Exercises -- Appendix E: Answers to Multiple-Choice Questions -- References -- Index En línea: http://dx.doi.org/10.1007/978-0-387-74995-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33856 Basic Probability Theory with Applications [documento electrónico] / Mario Lefebvre ; SpringerLink (Online service) . - New York, NY : Springer New York, 2009 . - XVI, 340 p. 50 illus : online resource. - (Springer Undergraduate Texts in Mathematics and Technology, ISSN 1867-5506) .
ISBN : 978-0-387-74995-2
Idioma : Inglés (eng)
Palabras clave: Mathematics Mathematical statistics Probabilities Applied mathematics Engineering Economic theory Probability Theory and Stochastic Processes Appl.Mathematics/Computational Methods of Statistics in Computer Science Theory/Quantitative Economics/Mathematical Clasificación: 51 Matemáticas Resumen: This book presents elementary probability theory with interesting and well-chosen applications that illustrate the theory. An introductory chapter reviews the basic elements of differential calculus which are used in the material to follow. The theory is presented systematically, beginning with the main results in elementary probability theory. This is followed by material on random variables. Random vectors, including the all important central limit theorem, are treated next. The last three chapters concentrate on applications of this theory in the areas of reliability theory, basic queuing models, and time series. Examples are elegantly woven into the text and over 400 exercises reinforce the material and provide students with ample practice. This textbook can be used by undergraduate students in pure and applied sciences such as mathematics, engineering, computer science, finance and economics. A separate solutions manual is available to instructors who adopt the text for their course Nota de contenido: Preface -- Review of Differential Calculus -- Elementary Probability -- Random Variables -- Random Vectors -- Reliability -- Queueing -- Time Series -- Appendix A: List of Symbols and Abbreviations -- Appendix B: Statistical Tables -- Appendix C: Solutions to 'Solved Exercises' -- Appendix D: Answers to Even-Numbered Exercises -- Appendix E: Answers to Multiple-Choice Questions -- References -- Index En línea: http://dx.doi.org/10.1007/978-0-387-74995-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33856 Ejemplares
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