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Ebook Business Statistics In Practice Using Data Modeling And Analytics


Ebook Business Statistics In Practice Using Data Modeling And Analytics
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Business Statistics In Practice


Business Statistics In Practice
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Author : Bruce Bowerman
language : en
Publisher: McGraw-Hill
Release Date : 2016-07-19

Business Statistics In Practice written by Bruce Bowerman and has been published by McGraw-Hill this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-19 with categories.




Ebook Business Statistics In Practice Using Data Modeling And Analytics


Ebook Business Statistics In Practice Using Data Modeling And Analytics
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Author : Bowerman
language : en
Publisher: McGraw Hill
Release Date : 2016-04-16

Ebook Business Statistics In Practice Using Data Modeling And Analytics written by Bowerman and has been published by McGraw Hill this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-16 with Business & Economics categories.


Ebook: Business Statistics in Practice: Using Data, Modeling and Analytics



Statistical Modelling And Sports Business Analytics


Statistical Modelling And Sports Business Analytics
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Author : Vanessa Ratten
language : en
Publisher: Routledge
Release Date : 2020-05-11

Statistical Modelling And Sports Business Analytics written by Vanessa Ratten and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-11 with Business & Economics categories.


This book introduces predictive analytics in sports and discusses the relationship between analytics and algorithms and statistics. It defines sports data to be used and explains why the unique nature of sports would make analytics useful. The book also explains why the proper use of predictive analytics includes knowing what they are incapable of doing as well as the role of predictive analytics in the bigger picture of sports entrepreneurship, innovation, and technology. The book looks at the mathematical foundations that enhance technical knowledge of predictive models and illustrates through practical, insightful cases that will help to empower readers to build and deploy their own analytic methodologies. This book targets readers who already have working knowledge of location, dispersion, and distribution statistics, bivariate relationships (scatter plots and correlation coefficients), and statistical significance testing and is a reliable, well-rounded reference for furthering their knowledge of predictive analytics in sports.



Business Statistics In Practice


Business Statistics In Practice
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Author : Bruce L. Bowerman
language : en
Publisher:
Release Date : 2016

Business Statistics In Practice written by Bruce L. Bowerman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.




Statistical Analysis And Data Display


Statistical Analysis And Data Display
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Author : Richard M. Heiberger
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29

Statistical Analysis And Data Display written by Richard M. Heiberger and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Mathematics categories.


1 Audience Students seeking master's degrees in applied statistics in the late 1960s and 1970s typically took a year-long sequence in statistical methods. Popular choices of the course text book in that period prior to the availability of high speed computing and graphics capability were those authored by Snedecor and Cochran, and Steel and Torrie. By 1980, the topical coverage in these classics failed to include a great many new and important elementary techniques in the data analyst's toolkit. In order to teach the statistical methods sequence with adequate coverage of topics, it became necessary to draw material from each of four or five text sources. Obviously, such a situation makes life difficult for both students and instructors. In addition, statistics students need to become proficient with at least one high-quality statistical software package. This book can serve as a standalone text for a contemporary year-long course in statistical methods at a level appropriate for statistics majors at the master's level or other quantitatively oriented disciplines at the doctoral level. The topics include both concepts and techniques developed many years ago and a variety of newer tools not commonly found in textbooks.



Data Science And Digital Business


Data Science And Digital Business
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Author : Fausto Pedro García Márquez
language : en
Publisher: Springer
Release Date : 2019-01-04

Data Science And Digital Business written by Fausto Pedro García Márquez and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-04 with Business & Economics categories.


This book combines the analytic principles of digital business and data science with business practice and big data. The interdisciplinary, contributed volume provides an interface between the main disciplines of engineering and technology and business administration. Written for managers, engineers and researchers who want to understand big data and develop new skills that are necessary in the digital business, it not only discusses the latest research, but also presents case studies demonstrating the successful application of data in the digital business.



Operational Risk Management


Operational Risk Management
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Author : Ron S. Kenett
language : en
Publisher: John Wiley & Sons
Release Date : 2011-06-20

Operational Risk Management written by Ron S. Kenett and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-20 with Business & Economics categories.


Models and methods for operational risks assessment and mitigation are gaining importance in financial institutions, healthcare organizations, industry, businesses and organisations in general. This book introduces modern Operational Risk Management and describes how various data sources of different types, both numeric and semantic sources such as text can be integrated and analyzed. The book also demonstrates how Operational Risk Management is synergetic to other risk management activities such as Financial Risk Management and Safety Management. Operational Risk Management: a practical approach to intelligent data analysis provides practical and tested methodologies for combining structured and unstructured, semantic-based data, and numeric data, in Operational Risk Management (OpR) data analysis. Key Features: The book is presented in four parts: 1) Introduction to OpR Management, 2) Data for OpR Management, 3) OpR Analytics and 4) OpR Applications and its Integration with other Disciplines. Explores integration of semantic, unstructured textual data, in Operational Risk Management. Provides novel techniques for combining qualitative and quantitative information to assess risks and design mitigation strategies. Presents a comprehensive treatment of "near-misses" data and incidents in Operational Risk Management. Looks at case studies in the financial and industrial sector. Discusses application of ontology engineering to model knowledge used in Operational Risk Management. Many real life examples are presented, mostly based on the MUSING project co-funded by the EU FP6 Information Society Technology Programme. It provides a unique multidisciplinary perspective on the important and evolving topic of Operational Risk Management. The book will be useful to operational risk practitioners, risk managers in banks, hospitals and industry looking for modern approaches to risk management that combine an analysis of structured and unstructured data. The book will also benefit academics interested in research in this field, looking for techniques developed in response to real world problems.



Business Statistics In Practice


Business Statistics In Practice
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Author : Bruce L. Bowerman
language : en
Publisher:
Release Date : 2016-03

Business Statistics In Practice written by Bruce L. Bowerman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03 with Business & Economics categories.


This edition of 'Business Statistics in Practice' provides a modern, practical and unique framework for teaching the first course in business statistics.



Statistics And Data Analysis For Financial Engineering


Statistics And Data Analysis For Financial Engineering
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Author : David Ruppert
language : en
Publisher: Springer
Release Date : 2015-04-21

Statistics And Data Analysis For Financial Engineering written by David Ruppert and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-21 with Business & Economics categories.


The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code and the advanced topics covered. Individual chapters cover, among other topics, multivariate distributions, copulas, Bayesian computations, risk management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus. There is an appendix on probability, statistics and linear algebra. Practicing financial engineers will also find this book of interest.



Introductory Business Statistics 2e


Introductory Business Statistics 2e
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Author : Alexander Holmes
language : en
Publisher:
Release Date : 2023-12-13

Introductory Business Statistics 2e written by Alexander Holmes and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-13 with Business & Economics categories.


Introductory Business Statistics 2e aligns with the topics and objectives of the typical one-semester statistics course for business, economics, and related majors. The text provides detailed and supportive explanations and extensive step-by-step walkthroughs. The author places a significant emphasis on the development and practical application of formulas so that students have a deeper understanding of their interpretation and application of data. Problems and exercises are largely centered on business topics, though other applications are provided in order to increase relevance and showcase the critical role of statistics in a number of fields and real-world contexts. The second edition retains the organization of the original text. Based on extensive feedback from adopters and students, the revision focused on improving currency and relevance, particularly in examples and problems. This is an adaptation of Introductory Business Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.