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ISBN:
Category :
Languages : en
Pages : 2562

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Publisher: Delta Publicaciones
ISBN: 8492453699
Category :
Languages : en
Pages : 748

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Author: Zura Kakushadze
Publisher: Springer
ISBN: 3030027929
Category : Business & Economics
Languages : en
Pages : 480

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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.

Author: Kenneth Train
Publisher: MIT Press
ISBN: 9780262200554
Category : Business & Economics
Languages : en
Pages : 282

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This book addresses two significant research areas in an interdependent fashion. It is first of all a comprehensive but concise text that covers the recently developed and widely applicable methods of qualitative choice analysis, illustrating the general theory through simulation models of automobile demand and use. It is also a detailed study of automobile demand and use, presenting forecasts based on these powerful new techniques. The book develops the general principles that underlie qualitative choice models that are now being applied in numerous fields in addition to transportation, such as housing, labor, energy, communications, and criminology. The general form, derivation, and estimation of qualitative choice models are explained, and the major models - logit, probit, and GEV - are discussed in detail. And continuous/discrete models are introduced. In these, qualitative choice methods and standard regression techniques are combined to analyze situations that neither alone can accurately forecast. Summarizing previous research on auto demand, the book shows how qualitative choice methods can be used by applying them to specific auto-related decisions as the aggregate of individuals' choices. The simulation model that is constructed is a significant improvement over older models, and should prove more useful to agencies and organizations requiring accurate forecasting of auto demand and use for planning and policy development. The book concludes with an actual case study based on a model designed for the investigations of the California Energy Commission. Kenneth Train is Visiting Associate Professor in Economics at the University of California, Berkeley, and Director of Economic Research at Cambridge Systematics, Inc., also in Berkeley. Qualitative Choice Analysisis included in The MIT Press Transportation Studies Series, edited by Marvin L. Manheim.

Author: Julio Cabero Almenara
Publisher: Frontiers Media SA
ISBN: 2832535682
Category : Education
Languages : en
Pages : 281

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The COVID-19 pandemic has provided a unique opportunity to examine our understanding of the opportunities and challenges that ICTs offer to support the functioning of all aspects of education. The closure of educational institutions has forced a radical change in the practices of teachers and societies regarding the use of ICT to support teaching, learning, social relations and work in many sectors. In the training of digital skills, the instrumental mastery of ICT continues to outweigh the preparation of citizens to make constructive and safe use of technologies. After two decades of educational policies, we continue to reduce digital literacy to instrumental skills. That is, you do not learn why to use educational technologies and how, or to be critical of their use. Education 4.0 seeks to develop and enhance the digital skills of students and teachers in digital teaching environments, through the creation of a line of academic training programs for undergraduate, postgraduate and continuing education. This article collection welcomes contributions to improve training policies and practices in Educational Digital Transformation for educational development (strategies, activities, proposals for assessment and certification of skills).

Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 776

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Author: Foster Provost
Publisher: "O'Reilly Media, Inc."
ISBN: 144937428X
Category : Computers
Languages : en
Pages : 506

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Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates

Author: Carmen Batanero
Publisher: Springer Science & Business Media
ISBN: 940071131X
Category : Education
Languages : en
Pages : 424

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Teaching Statistics in School Mathematics-Challenges for Teaching and Teacher Education results from the Joint ICMI/IASE Study Teaching Statistics in School Mathematics: Challenges for Teaching and Teacher Education. Oriented to analyse the teaching of statistics in school and to recommend improvements in the training of mathematics teachers to encourage success in preparing statistically literate students, the volume provides a picture of the current situation in both the teaching of school statistics and the pre-service education of mathematics teachers. A primary goal of Teaching Statistics in School Mathematics-Challenges for Teaching and Teacher Education is to describe the essential elements of statistics, teacher’s professional knowledge and their learning experiences. Moreover, a research agenda that invites new research, while building from current knowledge, is developed. Recommendations about strategies and materials, available to train prospective teachers in university and in-service teachers who have not been adequately prepared, are also accessible to the reader.

Author: Oliver Schabenberger
Publisher: CRC Press
ISBN: 020349198X
Category : Mathematics
Languages : en
Pages : 584

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Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers the demand for a text that incorporates all of these factors by presenting a balanced exposition that explores both the theoretical foundations of the field of spatial statistics as well as practical methods for the analysis of spatial data. This book is a comprehensive and illustrative treatment of basic statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. It introduces essential tools and approaches including: measures of autocorrelation and their role in data analysis; the background and theoretical framework supporting random fields; the analysis of mapped spatial point patterns; estimation and modeling of the covariance function and semivariogram; a comprehensive treatment of spatial analysis in the spectral domain; and spatial prediction and kriging. The volume also delivers a thorough analysis of spatial regression, providing a detailed development of linear models with uncorrelated errors, linear models with spatially-correlated errors and generalized linear mixed models for spatial data. It succinctly discusses Bayesian hierarchical models and concludes with reviews on simulating random fields, non-stationary covariance, and spatio-temporal processes. Additional material on the CRC Press website supplements the content of this book. The site provides data sets used as examples in the text, software code that can be used to implement many of the principal methods described and illustrated, and updates to the text itself.

Author: Enrique Cabrera Jr
Publisher: IWA Publishing
ISBN: 1843391988
Category : Science
Languages : en
Pages : 185

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Benchmarking has become a key tool in the water industry to promote and achieve performance targets for utilities. The use of this tool for performance improvement through systematic search and adaptation of leading practices, has expanded globally during the past decade. Many ongoing projects worldwide aim to address different needs and objectives, in varying contexts, with outstanding results and impact. Benchmarking Water Services provides valuable information to everyone interested in benchmarking in the water industry. The text is aimed at utilities considering joining a benchmarking project, experienced practitioners in charge of organizing a benchmarking exercise, consultants, regulators and researchers. The document is presented with a clear practice oriented approach and can be used as a how-to-benchmark guide presented from different perspectives (participants, organizers, supervising bodies). Readers will gain practical insight on real life benchmarking practices and will benefit from the experiences gained in some of the leading benchmarking projects of the water industry (including the IWA-WSAA benchmarking efforts, the European Benchmarking Co-operation and the several benchmarking projects carried out in Austria and Central Europe). The manual also presents the new IWA Benchmarking Framework, which aims to harmonize the terms used to describe benchmarking and performance indicators practices in the water industry, guaranteeing a more fluent and efficient communication. This Manual of Best Practice is edited by the IWA Specialist Group on Benchmarking and Performance Assessment, and co-published by AWWA and IWA Publishing. Praise for Benchmarking Water Services: "The continual trend of conceptual to specifics throughout the book provides for an educational experience each time the book is either casually perused or carefully studied." "The authors (Cabrera, Haskins and Fritiz) diligently pursue the focus of improvement." "Benchmarking Water Services is an in depth and practical ‘must have’ guide for any utility currently engaged in or planning to develop a benchmarking process" - Gregory M. Baird (2012) Benchmarking: An International Journal 19:2. More information about the book can be found on the Water Wiki in an article written by the author: http://www.iwawaterwiki.org/xwiki/bin/view/Articles/TheNewIWABenchmarkingFramework A Spanish language version of this book is available as a free eBook: http://www.iwawaterwiki.org/xwiki/bin/view/Articles/eBookTitlesfromIWAPublishingFreetoDownload-Volume2#HBenchmarkingParaServiciosdeAgua