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Author: John E. Freund
Publisher: Pearson Educación
ISBN: 9789701703892
Category : Mathematics
Languages : en
Pages : 644
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Book Description
For a two-semester or a three-quarter calculus-based Introduction to the Mathematics of Statistics course. This classic, calculus-based introduction to the theory - and application - of statistics provides an unusually comprehensive depth and breadth of coverage and reflects the state-of-the-art in statistical thinking, the teaching of statistics, and current practices - including the use of the computer. *NEW - Places greater emphasis on the use of computers in performing statistical calculations. *NEW - Includes new exercises - many of which require the use of a computer. *NEW - Expands coverage of Analysis of Variance to include the two-way analysis-of-variance model with interaction and a discussion of multiple comparisons. *NEW - Adds appendices which summarize the properties of the special probability distributions and density functions that appear in the text. *Places greater emphasis on the use of computers in performing statistical calculations. *Comprehensive coverage of statistical theories. *Features more than 1,100 problems and exercises - divided into theory and applications.
Author: John E. Freund
Publisher: Pearson Educación
ISBN: 9789701703892
Category : Mathematics
Languages : en
Pages : 644
Get Book Here
Book Description
For a two-semester or a three-quarter calculus-based Introduction to the Mathematics of Statistics course. This classic, calculus-based introduction to the theory - and application - of statistics provides an unusually comprehensive depth and breadth of coverage and reflects the state-of-the-art in statistical thinking, the teaching of statistics, and current practices - including the use of the computer. *NEW - Places greater emphasis on the use of computers in performing statistical calculations. *NEW - Includes new exercises - many of which require the use of a computer. *NEW - Expands coverage of Analysis of Variance to include the two-way analysis-of-variance model with interaction and a discussion of multiple comparisons. *NEW - Adds appendices which summarize the properties of the special probability distributions and density functions that appear in the text. *Places greater emphasis on the use of computers in performing statistical calculations. *Comprehensive coverage of statistical theories. *Features more than 1,100 problems and exercises - divided into theory and applications.
Author:
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 462
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 2562
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Book Description
Author: Bowker Editores Argentina
Publisher:
ISBN:
Category : Economics
Languages : es
Pages : 356
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Book Description
Author:
Publisher:
ISBN:
Category : Statistics
Languages : es
Pages : 460
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Book Description
Author: Olivier T. Godichet
Publisher: Lulu.com
ISBN: 1291192239
Category : Self-Help
Languages : es
Pages : 285
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Book Description
Oli: para oligo, en cada niveles algunas opciones de palabras claves, sobre algunos niveles Cogno: para conocimiento, articulacion de conceptos claves, para integrar democraticamente y en grupos operativos Grafia: para une dibujo de grafos geometricamente logicos. En total, un marco logico para caracterizar situaciones teoricas y aplicadas. Por le tanto una metodologia, aplicada para aprender en estructurar marcos logicos integros. 50 ejemplos de aplicacion en muchos registros de ciencias desde la filosofia hasta las ciencias sociales; epistemologias cuya filosofia de diseño se presta al manejo democratico de programas compartidos.
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.
Author: Carmen Batanero
Publisher: Springer Science & Business Media
ISBN: 940071131X
Category : Education
Languages : en
Pages : 424
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Book Description
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: Kenneth Train
Publisher: MIT Press
ISBN: 9780262200554
Category : Business & Economics
Languages : en
Pages : 282
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Book Description
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: Yihui Xie
Publisher: CRC Press
ISBN: 1351792601
Category : Mathematics
Languages : en
Pages : 140
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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.
