Enciclopedia Practica De La Moderna Tecnologia
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Britannica Enciclopedia Moderna
Author | : Encyclopaedia Britannica, Inc |
Publisher | : Encyclopaedia Britannica, Inc. |
Total Pages | : 2982 |
Release | : 2011-06-01 |
Genre | : Juvenile Nonfiction |
ISBN | : 1615355162 |
The Britannica Enciclopedia Moderna covers all fields of knowledge, including arts, geography, philosophy, science, sports, and much more. Users will enjoy a quick reference of 24,000 entries and 2.5 million words. More then 4,800 images, graphs, and tables further enlighten students and clarify subject matter. The simple A-Z organization and clear descriptions will appeal to both Spanish speakers and students of Spanish.
Enciclopedia de Lingüística Hispánica
Author | : Javier Gutiérrez-Rexach |
Publisher | : Routledge |
Total Pages | : 2157 |
Release | : 2016-01-29 |
Genre | : Foreign Language Study |
ISBN | : 1317498011 |
The Enciclopedia de Linguistica Hispánica provides comprehensive coverage of the major and subsidiary fields of Spanish linguistics. Entries are extensively cross-referenced and arranged alphabetically within three main sections: Part 1 covers linguistic disciplines, approaches and methodologies. Part 2 brings together the grammar of Spanish, including subsections on phonology, morphology, syntax and semantics. Part 3 brings together the historical, social and geographical factors in the evolution of Spanish. Drawing on the expertise of a wide range of contributors from across the Spanish-speaking world the Enciclopedia de Linguistica Hispánica is an indispensable reference for undergraduate and postgraduate students of Spanish, and for anyone with an academic or professional interest in the Spanish language/Spanish linguistics.
RETRACTED BOOK: 151 Trading Strategies
Author | : Zura Kakushadze |
Publisher | : Springer |
Total Pages | : 480 |
Release | : 2018-12-13 |
Genre | : Business & Economics |
ISBN | : 3030027929 |
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.