Author: Miguel Barreras Alconchel Publisher: ISBN: 9788478979905 Category : Computers Languages : es Pages : 321
Book Description
El libro que usted tiene en sus manos es, básicamente, el mismo libro de la edición anterior pero válido hasta la versión Excel 2007. Excel 2007 es (al menos aparentemente) distinta a las anteriores, lo que, al principio, confunde y desanima al fiel usuario de Excel 2003. Cuando se abre por vez primera esta nueva versión la pregunta es invitable: pero..., ¿dónde están las cosas?. Los menús han cambiado. También algunos procedimientos (como la elaboración de gráficos) y el funcionamiento de algunos objetos Visual Basic. Por ejemplo, la Barra de desplazamiento de 2003 encuentra su análoga en 2007 no en la barra de los Controles de formulario, sino en la de los Controles ActiveX. El código de la programación es el mismo. Uno se acostumbra con algunas horas de práctica e incluso llega a admitir que 2007 es bastante parecido a 2003, más agradable a la vista y, tal vez, más dinámico. El objetivo que se persigue con este libro es doble. Quizás ambicioso. Por una parte se intenta iniciar o afianzar al lector en las herramientas básicas y avanzadas de Excel y, por otra, establecer un contacto con las que Visual Basic nos ofrece. Es este un lenguaje de programación que Microsoft incorporó a la Hoja de Cálculo realmente notable y atractivo. Además, se pretende presentar Excel como un eficaz recurso en el aprendizaje de las Matemáticas en cualquier nevel de la instrucción, así como en la resolución de problemas. En definitiva, el sentido de la obra es el siguiente: 1. Exponer en contextos prácticos las herramientas de Excel: las básicas (matemáticas, estadísticas, lógicas); las avancadas (gráficos personalizados, buscar objetivo, solver, etc.); algunos comandos básicos de Visual Basic en Excel (botones de comando, barra de desplazamiento) y una iniciación a la programación en Visual Basic desde Excel. Ser revela a los usuarios de Excel sus múltiples posibilidades, que a menudo se desconocen. 2. Abordar problemas (matemáticos, o cualquier otro susceptible de análisis cuantitativo) y proponer estrategias de solución bajo la perspectiva de la Hoja de Cálculo Excel. 3. Suministrar al profesorado (al lector, en general) recursos ya elaborados para el análisis y la resolución de problemas concretos, planteando posibles generalizaciones. 4. Proponer nuevas metodologías para la clase de Matemáticas al amparo de la Hoja de Cálculo. El libro contiene material adicional que podrá descargarse desde www.ra-ma.es accediendo a la ficha del libro y que incluye los ejemplos cuya elaboración, paso a paso, se explica en el texto y los ejercicios que se proponen al final de cada capítulo. En total, más de 180 hojas de cálculo.
Author: Robert Sedgewick Publisher: Addison-Wesley Professional ISBN: 0133847268 Category : Computers Languages : en Pages : 973
Book Description
This book is Part II of the fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms, the leading textbook on algorithms today, widely used in colleges and universities worldwide. Part II contains Chapters 4 through 6 of the book. The fourth edition of Algorithms surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing -- including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.
Author: S. David Promislow Publisher: John Wiley & Sons ISBN: 0470978074 Category : Mathematics Languages : en Pages : 390
Book Description
This book provides a comprehensive introduction to actuarial mathematics, covering both deterministic and stochastic models of life contingencies, as well as more advanced topics such as risk theory, credibility theory and multi-state models. This new edition includes additional material on credibility theory, continuous time multi-state models, more complex types of contingent insurances, flexible contracts such as universal life, the risk measures VaR and TVaR. Key Features: Covers much of the syllabus material on the modeling examinations of the Society of Actuaries, Canadian Institute of Actuaries and the Casualty Actuarial Society. (SOA-CIA exams MLC and C, CSA exams 3L and 4.) Extensively revised and updated with new material. Orders the topics specifically to facilitate learning. Provides a streamlined approach to actuarial notation. Employs modern computational methods. Contains a variety of exercises, both computational and theoretical, together with answers, enabling use for self-study. An ideal text for students planning for a professional career as actuaries, providing a solid preparation for the modeling examinations of the major North American actuarial associations. Furthermore, this book is highly suitable reference for those wanting a sound introduction to the subject, and for those working in insurance, annuities and pensions.
Author: Stuart A. Klugman Publisher: John Wiley & Sons ISBN: 0470391332 Category : Business & Economics Languages : en Pages : 758
Book Description
An update of one of the most trusted books on constructing and analyzing actuarial models Written by three renowned authorities in the actuarial field, Loss Models, Third Edition upholds the reputation for excellence that has made this book required reading for the Society of Actuaries (SOA) and Casualty Actuarial Society (CAS) qualification examinations. This update serves as a complete presentation of statistical methods for measuring risk and building models to measure loss in real-world events. This book maintains an approach to modeling and forecasting that utilizes tools related to risk theory, loss distributions, and survival models. Random variables, basic distributional quantities, the recursive method, and techniques for classifying and creating distributions are also discussed. Both parametric and non-parametric estimation methods are thoroughly covered along with advice for choosing an appropriate model. Features of the Third Edition include: Extended discussion of risk management and risk measures, including Tail-Value-at-Risk (TVaR) New sections on extreme value distributions and their estimation Inclusion of homogeneous, nonhomogeneous, and mixed Poisson processes Expanded coverage of copula models and their estimation Additional treatment of methods for constructing confidence regions when there is more than one parameter The book continues to distinguish itself by providing over 400 exercises that have appeared on previous SOA and CAS examinations. Intriguing examples from the fields of insurance and business are discussed throughout, and all data sets are available on the book's FTP site, along with programs that assist with conducting loss model analysis. Loss Models, Third Edition is an essential resource for students and aspiring actuaries who are preparing to take the SOA and CAS preliminary examinations. It is also a must-have reference for professional actuaries, graduate students in the actuarial field, and anyone who works with loss and risk models in their everyday work. To explore our additional offerings in actuarial exam preparation visit www.wiley.com/go/actuarialexamprep.
Author: John Allen Paulos Publisher: Macmillan + ORM ISBN: 1429934387 Category : Mathematics Languages : en Pages : 167
Book Description
Readers of Innumeracy will be rewarded with scores of astonishing facts, a fistful of powerful ideas, and, most important, a clearer, more quantitative way of looking at their world. Why do even well-educated people understand so little about mathematics? And what are the costs of our innumeracy? John Allen Paulos, in his celebrated bestseller first published in 1988, argues that our inability to deal rationally with very large numbers and the probabilities associated with them results in misinformed governmental policies, confused personal decisions, and an increased susceptibility to pseudoscience of all kinds. Innumeracy lets us know what we're missing, and how we can do something about it. Sprinkling his discussion of numbers and probabilities with quirky stories and anecdotes, Paulos ranges freely over many aspects of modern life, from contested elections to sports stats, from stock scams and newspaper psychics to diet and medical claims, sex discrimination, insurance, lotteries, and drug testing.
Author: Steven S. Skiena Publisher: Springer ISBN: 3319554441 Category : Computers Languages : en Pages : 456
Book Description
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)
Author: Yihui Xie Publisher: CRC Press ISBN: 1351792601 Category : Mathematics Languages : en Pages : 140
Book Description
bookdown: Authoring Books and Technical Documents with R Markdown presents a much easier way to write books and technical publications than traditional tools such as LaTeX and Word. The bookdown package inherits the simplicity of syntax and flexibility for data analysis from R Markdown, and extends R Markdown for technical writing, so that you can make better use of document elements such as figures, tables, equations, theorems, citations, and references. Similar to LaTeX, you can number and cross-reference these elements with bookdown. Your document can even include live examples so readers can interact with them while reading the book. The book can be rendered to multiple output formats, including LaTeX/PDF, HTML, EPUB, and Word, thus making it easy to put your documents online. The style and theme of these output formats can be customized. We used books and R primarily for examples in this book, but bookdown is not only for books or R. Most features introduced in this book also apply to other types of publications: journal papers, reports, dissertations, course handouts, study notes, and even novels. You do not have to use R, either. Other choices of computing languages include Python, C, C++, SQL, Bash, Stan, JavaScript, and so on, although R is best supported. You can also leave out computing, for example, to write a fiction. This book itself is an example of publishing with bookdown and R Markdown, and its source is fully available on GitHub.
Author: Miguel Barreras Alconchel
Author: Miguel Barreras Alconchel
Author: Robert Sedgewick
Author: S. David Promislow
Author: Stuart A. Klugman
Author: John Allen Paulos
Author: Steven S. Skiena
Author: Andrés Díez Herrero
Author: Day
Author: Yihui Xie