Книга "Bayesian Methods for Management and Business" рассматривает использование байесовской статистики для получения практических знаний из эмпирических данных. Авторы книги демонстрируют доступный подход, который помогает использовать байесовскую статистику для решения важных вопросов, которые стоят перед бизнесом и менеджментом. В книге приводятся многообразные примеры из разных областей менеджмента, таких как стратегия, международный бизнес, бухгалтерский учет и системы информации, а также используются программные средства WinBUGS и R для демонстрации интеграции байесовской статистики в средах с большим количеством данных. Книга также содержит обсуждение вычислительных вопросов, линейных моделей, анализа чувствительности, метода Монте-Карло с использованием цепей Маркова и сравнения моделей. Кроме того, авторы представляют более сложные модели, такие как иерархические модели, обобщенные линейные модели и модели с латентными переменными, чтобы связать теорию с практическим применением в реальном мире. Книга "Bayesian Methods for Management and Business" является важным учебником для курсов байесовской статистики на уровне MBA и для аспирантов по бизнесу и менеджменту в качестве первого курса по методологии. Кроме того, эта книга будет полезной для ученых и практиков в области менеджмента, бизнеса и академического сообщества, которые стремятся расширить свой методологический арсенал.
The book takes an accessible approach and demonstrates how Bayesian techniques can help businesses and managers gain insights from empirical data. It uses WinBUGS, an easy-to-use statistical program, and R, a programming language. This approach allows the author to simplify complex statistical concepts and bridge the gap between theory and practice.
The author covers a range of models, including linear models, Markov Chain Monte Card (MCMC) simulations, and sensitivity analyses. Each example is presented in a step-by-step format, making the material easy to understand and apply. The author also provides examples from real-world data sets, demonstrating the use of Bayesian methods in practice. This helps readers gain a deeper understanding of how they can apply these techniques in their own work.
Throughout the book, the author discusses computational issues and how to deal with them. This is an important aspect of Bayesian analysis that many people may not be familiar with. The book also covers hierarchical models, generalized linear models, and other advanced topics to help readers become familiar with the breadth of Bayesian methods.
Bayesian Methods for Management & Business is a valuable resource for anyone interested in using Bayesian techniques in business and management research. The book provides practical examples, clear explanations, and computational guidance, making it an ideal textbook for MBA-level students and researchers as well as professional practitioners seeking methodological skills.
Электронная Книга «Bayesian Methods for Management and Business» написана автором Eugene D. Hahn в году.
Минимальный возраст читателя: 0
Язык: Английский
ISBN: 9781118935194
Описание книги от Eugene D. Hahn
HIGHLIGHTS THE USE OF BAYESIAN STATISTICS TO GAIN INSIGHTS FROM EMPIRICAL DATA Featuring an accessible approach, Bayesian Methods for Management and Business: Pragmatic Solutions for Real Problems demonstrates how Bayesian statistics can help to provide insights into important issues facing business and management. The book draws on multidisciplinary applications and examples and utilizes the freely available software WinBUGS and R to illustrate the integration of Bayesian statistics within data-rich environments. Computational issues are discussed and integrated with coverage of linear models, sensitivity analysis, Markov Chain Monte Carlo (MCMC), and model comparison. In addition, more advanced models including hierarchal models, generalized linear models, and latent variable models are presented to further bridge the theory and application in real-world usage. Bayesian Methods for Management and Business: Pragmatic Solutions for Real Problems also features: Numerous real-world examples drawn from multiple management disciplines such as strategy, international business, accounting, and information systems An incremental skill-building presentation based on analyzing data sets with widely applicable models of increasing complexity An accessible treatment of Bayesian statistics that is integrated with a broad range of business and management issues and problems A practical problem-solving approach to illustrate how Bayesian statistics can help to provide insight into important issues facing business and management Bayesian Methods for Management and Business: Pragmatic Solutions for Real Problems is an important textbook for Bayesian statistics courses at the advanced MBA-level and also for business and management PhD candidates as a first course in methodology. In addition, the book is a useful resource for management scholars and practitioners as well as business academics and practitioners who seek to broaden their methodological skill sets.
