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Essentials of Excel VBA, Python, and R, Lee


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Автор: Lee
Название:  Essentials of Excel VBA, Python, and R
ISBN: 9783031142826
Издательство: Springer
Классификация:




ISBN-10: 3031142829
Обложка/Формат: Hardback
Страницы: 523
Вес: 1.71 кг.
Дата издания: 25.03.2023
Язык: English
Издание: 2nd ed. 2023
Иллюстрации: 436 illustrations, color; 112 illustrations, black and white; xv, 523 p. 548 illus., 436 illus. in color.
Размер: 279 x 210
Читательская аудитория: Professional & vocational
Основная тема: Statistics
Подзаголовок: Volume ii: financial derivatives, risk management and machine learning
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data with the applications of Excel VBA, Python and R. Each chapter engages the reader with sample data drawn from individual stocks, stock indices, options, and futures. Now in its second edition, it has been expanded into two volumes, each of which is devoted to specific parts of the business analytics curriculum. To reflect the current age of data science and machine learning, the used applications have been updated from Minitab and SAS to Python and R, so that readers will be better prepared for the current industry. This second volume is designed for advanced courses in financial derivatives, risk management, and machine learning and financial management. In this volume we extensively use Excel, Python, and R to analyze the above-mentioned topics. It is also a comprehensive reference for active statistical finance scholars and business analysts who are looking to upgrade their toolkits. Readers can look to the first volume for dedicated content on financial statistics, and portfolio analysis.
Дополнительное описание: Chapter 1. Introduction.- Chapter 2. Introduction to Excel Programming.- Chapter 3. Introduction to VBA Programming.- Chapter 4. Professional Techniques Used in Excel and Excel VBA Techniques.- Chapter 5. Decision Tree Approach for Binomial Option Pricing



Essentials of Stochastic Processes

Автор: Durrett
Название: Essentials of Stochastic Processes
ISBN: 331945613X ISBN-13(EAN): 9783319456133
Издательство: Springer
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Цена: 12577.00 р.
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Описание: Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students from math, statistics, economics, computer science, engineering, and finance departments) who have had a course in probability theory.

Essentials of Programming in  Mathematica ®

Автор: Wellin
Название: Essentials of Programming in Mathematica ®
ISBN: 110711666X ISBN-13(EAN): 9781107116665
Издательство: Cambridge Academ
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Цена: 8870.00 р.
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Описание: This introduction is suitable for someone who has little or no background in Mathematica (R), or who has some experience using other languages such as C, Java, or Perl. Starting from first principles, this example-driven text contains material from disciplines as varied as linguistics, bioinformatics, geometry, computer science, and many more.

Essentials of Excel VBA, Python, and R

Автор: Lee
Название: Essentials of Excel VBA, Python, and R
ISBN: 3031142357 ISBN-13(EAN): 9783031142352
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
Наличие на складе: Поставка под заказ.

Описание: This advanced textbook for business statistics teaches, statistical analyses and research methods utilizing business case studies and financial data, with the applications of Excel VBA, Python and R. Each chapter engages the reader with sample data drawn from individual stocks, stock indices, options, and futures. Now in its second edition, it has been expanded into two volumes, each of which is devoted to specific parts of the business analytics curriculum. To reflect the current age of data science and machine learning, the used applications have been updated from Minitab and SAS to Python and R, so that readers will be better prepared for the current industry. This first volume is designed for advanced courses in financial statistics, investment analysis and portfolio management. It is also a comprehensive reference for active statistical finance scholars and business analysts who are looking to upgrade their toolkits. Readers can look to the second volume for dedicated content on financial derivatives, risk management, and machine learning.

Essentials of Excel, Excel VBA, SAS and MINITAB for Statistical and Financial Analyses

Автор: Cheng-Few Lee; John C. Lee; Jow-Ran Chang; Tzu Tai
Название: Essentials of Excel, Excel VBA, SAS and MINITAB for Statistical and Financial Analyses
ISBN: 3319388657 ISBN-13(EAN): 9783319388656
Издательство: Springer
Рейтинг:
Цена: 12577.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This introductory textbook for business statistics teaches statistical analysis and research methods via business case studies and financial data using Excel, Minitab, and SAS. Every chapter in this textbook engages the reader with data of individual stock, stock indices, options, and futures.One studies and uses statistics to learn how to study, analyze, and understand a data set of particular interest. Some of the more popular statistical programs that have been developed to use statistical and computational methods to analyze data sets are SAS, SPSS, and Minitab. Of those, we look at Minitab and SAS in this textbook. One of the main reasons to use Minitab is that it is the easiest to use among the popular statistical programs. We look at SAS because it is the leading statistical package used in industry. We also utilize the much less costly and ubiquitous Microsoft Excel to do statistical analysis, as the benefits of Excel have become widely recognized in the academic world and its analytical capabilities extend to about 90 percent of statistical analysis done in the business world. We demonstrate much of our statistical analysis using Excel and double check the analysis and outcomes using Minitab and SAS—also helpful in some analytical methods not possible or practical to do in Excel.

Numerical Methods for Chemical Engineers Using Excel, VBA, and MATLAB

Автор: Law, Victor J.
Название: Numerical Methods for Chemical Engineers Using Excel, VBA, and MATLAB
ISBN: 1466575344 ISBN-13(EAN): 9781466575349
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Numerical methods with VBA programming /

Автор: Hiestand, James W.
Название: Numerical methods with VBA programming /
ISBN: 0763749648 ISBN-13(EAN): 9780763749644
Издательство: NBN International
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Цена: 24075.00 р.
Наличие на складе: Нет в наличии.

Описание: Numerical Methods with VBA Programming provides a unique and unified treatment of numerical methods and VBA computer programming, topics that naturally support one another within the study of engineering and science. This engaging text incorporates real-world scenarios to motivate technical material, helping students understand and retain difficult and key concepts. Such examples include comparing a two-point boundary value problem to determining when you should leave for the airport to catch a scheduled flight. Numerical examples are accompanied by closed-form solutions to demonstrate their correctness. Within the programming sections, tips are included that go beyond language basics to make programming more accessible for students. A unique section suggest ways in which the starting values for non-linear equations may be estimated. Flow charts for many of the numerical techniques discussed provide general guidance to students without revealing all of the details. Useful appendices provide summaries of Excel and VBA commands, Excel functions accessible in VBA, basics of differentiation, and more

Essentials of Stochastic Processes

Автор: Durrett Richard
Название: Essentials of Stochastic Processes
ISBN: 3319833316 ISBN-13(EAN): 9783319833316
Издательство: Springer
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Цена: 9083.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students from math, statistics, economics, computer science, engineering, and finance departments) who have had a course in probability theory.

Essentials of Probability Theory for Statisticians

Автор: Proschan, Michael A. , Shaw, Pamela A.
Название: Essentials of Probability Theory for Statisticians
ISBN: 0367871637 ISBN-13(EAN): 9780367871635
Издательство: Taylor&Francis
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Цена: 9645.00 р.
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Описание: This text provides graduate students with a rigorous treatment of probability theory, with an emphasis on results central to theoretical statistics. It presents classical probability theory motivated with illustrative examples in biostatistics, such as outlier tests, monitoring clinical trials, and using adaptive methods to make design changes b

Bayesian Essentials with R

Автор: Marin Jean-Michel
Название: Bayesian Essentials with R
ISBN: 1461486866 ISBN-13(EAN): 9781461486862
Издательство: Springer
Рейтинг:
Цена: 11179.00 р.
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Описание: An ideal text for applied statisticians needing a standalone introduction to computational Bayesian statistics, this work by a renowned authority on the subject focuses on standard models backed up by real datasets. It includes an inclusive R (CRAN) package.

Essentials of Mathematical Statistics

Название: Essentials of Mathematical Statistics
ISBN: 144968534X ISBN-13(EAN): 9781449685348
Издательство: Jones & Bartlett
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Цена: 31046.00 р.
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Описание: Part of the Jones and Bartlett Learning International Series in Mathematics

Written for the one-term introductory probability and statistics course for mid- to upper-level math and science majors, Essentials of Mathematical Statistics combines the topics generally found in main-stream elementary statistics books with the essentials of the underlying theory. The book begins with an axiomatic treatment of probability followed by chapters on discrete and continuous random variables and their associated distributions. It then introduces basic statistical concepts including summarizing data and interval parameter estimation, stressing the connection between probability and statistics. Final chapters introduce hypothesis testing, regression, and non-parametric techniques. All chapters provide a balance between conceptual understanding and theoretical understanding of the topics at hand.

Key Features of Essentials of Mathematical Statistics:

- End-of-section exercises range from computational to conceptual to theoretical.
- Many sections include a sub-section titled oeSoftware Calculations � which gives detailed descriptions of how to perform the calculations discussed in the section using the software Minitab, R, Excel, and the TI-83/84 calculators.
- Provides a clear balance between conceptual understanding and theoretical understanding
- Exercises throughout vary in level of difficulty and scope.

Essentials of Statistics for the Social and Behavioral Sciences

Автор: Cohen
Название: Essentials of Statistics for the Social and Behavioral Sciences
ISBN: 0471220310 ISBN-13(EAN): 9780471220312
Издательство: Wiley
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Цена: 6803.00 р.
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Описание: Master the essential statistical skills used in social and behavioral sciences Essentials of Statistics for the Social and Behavioral Sciences distills the overwhelming amount of material covered in introductory statistics courses into a handy, practical resource for students and professionals.

Project management essentials

Автор: Badiru, Adedeji Bodunde
Название: Project management essentials
ISBN: 0367431181 ISBN-13(EAN): 9780367431181
Издательство: Taylor&Francis
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Цена: 7961.00 р.
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Описание: This Focus book presents the basic principles and practice of project management and simple analytics for project control. The overriding theme of the book is that every pursuit can be organized as a project.


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