Reports and Papers in the Social Sciences PDF Download
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Author: Social Science Clearing House (Unesco)
Publisher:
ISBN:
Category : Social sciences
Languages : en
Pages : 330
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Book Description
Author: Social Science Clearing House (Unesco)
Publisher:
ISBN:
Category : Social sciences
Languages : en
Pages : 330
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Book Description
Author: Jean Aitchison
Publisher:
ISBN:
Category : Classification
Languages : en
Pages : 112
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Book Description
UNESCO pub. Bibliography of mono- and multilingual dictionarys, thesaurus, indexing and classification schemes in the social sciences.
Author: Isaac Paenson
Publisher:
ISBN:
Category : History
Languages : en
Pages : 890
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Book Description
Cross, the Red Crescent movement and the League of Red Cross.
Author: British Museum. Department of Printed Books
Publisher:
ISBN:
Category : English literature
Languages : en
Pages : 548
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Book Description
Author:
Publisher:
ISBN:
Category : Exchange of publications
Languages : en
Pages : 408
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Book Description
Author: Melvil Dewey
Publisher:
ISBN:
Category : Libraries
Languages : en
Pages : 1254
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Book Description
Includes, beginning Sept. 15, 1954 (and on the 15th of each month, Sept.-May) a special section: School library journal, ISSN 0000-0035, (called Junior libraries, 1954-May 1961). Also issued separately.
Author: Emil Meynen
Publisher: Wiesbaden : Steiner
ISBN:
Category : Science
Languages : en
Pages : 272
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Book Description
Author: League of Nations Library
Publisher:
ISBN:
Category : World politics
Languages : en
Pages : 594
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Book Description
Author: United Nations Library (Geneva, Switzerland)
Publisher:
ISBN:
Category : World politics
Languages : en
Pages : 572
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Book Description
Author: Zura Kakushadze
Publisher: Springer
ISBN: 3030027929
Category : Business & Economics
Languages : en
Pages : 480
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Book Description
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.
