Esta edición mantiene el enfoque en la aplicacion de los modelos matemáticos en la toma de decisiones; el análisis cuantitativo consiste en definir un problema, desarrollar un modelo, adquirir datos de entrada, desarrollar una solución, probarla, analizar los resultados e implementarlos; para ello, el uso de QM para windows, Excel QM y Excel permite elegir qué software funciona mejor.
The study guide will provide the student with significant supplementary study materials. Each chapter contains key concepts, a review section, sample problems with step-by-step solutions, problems with answers and self-testing questions with answers.
Readers don't need to be a mathematician to understand and maximize the power of quantitative methods! Written for the future or current business professional, QUANTITATIVE METHODS FOR BUSINESS, 12E, International Edition by a powerhouse, award-winning author team makes it easy for readers to understand how to most effectively use quantitative methods to make intelligent successful decisions. The book's hallmark problem-scenario approach guides readers through the application of mathematical concepts and techniques, while memorable examples illustrate how and when to use the methods. Readers discover everything needed for success in working with quantitative methods, from a strong managerial orientation to instant online access to Excel worksheets for text examples; The Management Scientist v6.0 and TreePlan; Crystal Ball; Premium Solver for Excel, and LINGO.
The book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students.
A comprehensive evaluation of how to read African history. Writing African History is an essential work for anyone who wants to write, or even seriously read, African history. It will replace Daniel McCall's classic Africa in Time Perspective as the introduction to African history for the next generation and as a reference for professional historians, interested readers, and anyone who wants to understand how African history is written. Africa in Time Perspective was written in the 1960s, when African history was a new field of research. This new book reflects the development of African history since then. It opens with a comprehensive introduction by Daniel McCall, followed by a chapter by the editor explainingwhat African history is [and is not] in the context of historical theory and the development of historical narrative, the humanities, and social sciences. The first half of the book focuses on sources of historical data while thesecond half examines different perspectives on history. The editor's final chapter explains how to combine various sorts of evidence into a coherent account of African history. Writing African History will become the most important guide to African history for the 21st century. Contributors: Bala Achi, Isaac Olawale Albert, Diedre L. Badéjo, Dorothea Bedigian, Barbara M. Cooper, Henry John Drewal, Christopher Ehret, Toyin Falola, David Henige, Joseph E. Holloway, John Hunwick, S. O. Y. Keita, William G. Martin, Daniel McCall, Susan Keech McIntosh, Donatien Dibwe Dia Mwembu, Kathleen Sheldon, John Thornton, and Masao Yoshida. John Edwards Philips is professor of international society, Hirosaki University, and author of Spurious Arabic: Hausa and Colonial Nigeria [Madison, University of Wisconsin African Studies Center, 2000].
Traversed by masses of migrants and wracked by environmental and economic change, the Mediterranean has come to connote crisis. In this context, Critically Mediterranean asks how the theories and methodologies of Mediterranean studies may be brought to bear upon the modern and contemporary periods. Contributors explore how the Mediterranean informs philosophy, phenomenology, the poetics of time and space, and literary theory. Ranging from some of the earliest twentieth-century material on the Mediterranean to Edmond Amran El Maleh, Christoforos Savva, Orhan Pamuk, and Etel Adnan, the essays ask how modern and contemporary Mediterraneans may be deployed in political, cultural, artistic, and literary practice. The critical Mediterranean that emerges is plural and performative—a medium through which subjects may negotiate imagined relations with the world around them. Vibrant and deeply interdisciplinary, Critically Mediterranean offers timely interventions for a sea in crisis.
A technical discussion that includes theory, research, and application, this book describes warning design standards and guidelines; aspects of law relevant to warnings such as government regulations, case/trial litigation, and the role of expert testimony in these cases; and international, health/medical, and marketing issues. Broken into thirteen
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.
The book aims at showing the state-of-the-art in the field of modeling and applications in mathematics education. This is the first volume to do this. The book deals with the question of how key competencies of applications and modeling at the heart of mathematical literacy may be developed; with the roles that applications and modeling may play in mathematics teaching, making mathematics more relevant for students.
Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists... Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.
