Inference and Intervention

Causal Models for Business Analysis

Business & Finance, Economics, Econometrics, Statistics, Management & Leadership, Decision Making & Problem Solving
Cover of the book Inference and Intervention by Michael D. Ryall, Aaron L. Bramson, Taylor and Francis
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Michael D. Ryall, Aaron L. Bramson ISBN: 9781135127718
Publisher: Taylor and Francis Publication: August 22, 2013
Imprint: Routledge Language: English
Author: Michael D. Ryall, Aaron L. Bramson
ISBN: 9781135127718
Publisher: Taylor and Francis
Publication: August 22, 2013
Imprint: Routledge
Language: English

Ryall and Bramson's Inference and Intervention is the first textbook on causal modeling with Bayesian networks for business applications. In a world of resource scarcity, a decision about which business elements to control or change – as the authors put it, a managerial intervention – must precede any decision on how to control or change them, and understanding causality is crucial to making effective interventions.

The authors cover the full spectrum of causal modeling techniques useful for the managerial role, whether for intervention, situational assessment, strategic decision-making, or forecasting. From the basic concepts and nomenclature of causal modeling to decision tree analysis, qualitative methods, and quantitative modeling tools, this book offers a toolbox for MBA students and business professionals to make successful decisions in a managerial setting.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Ryall and Bramson's Inference and Intervention is the first textbook on causal modeling with Bayesian networks for business applications. In a world of resource scarcity, a decision about which business elements to control or change – as the authors put it, a managerial intervention – must precede any decision on how to control or change them, and understanding causality is crucial to making effective interventions.

The authors cover the full spectrum of causal modeling techniques useful for the managerial role, whether for intervention, situational assessment, strategic decision-making, or forecasting. From the basic concepts and nomenclature of causal modeling to decision tree analysis, qualitative methods, and quantitative modeling tools, this book offers a toolbox for MBA students and business professionals to make successful decisions in a managerial setting.

More books from Taylor and Francis

Cover of the book Changing Education by Michael D. Ryall, Aaron L. Bramson
Cover of the book Taxation and Gender Equity by Michael D. Ryall, Aaron L. Bramson
Cover of the book America in the Progressive Era, 1890-1914 by Michael D. Ryall, Aaron L. Bramson
Cover of the book Cognitive Poetics by Michael D. Ryall, Aaron L. Bramson
Cover of the book Quantitative International Economics by Michael D. Ryall, Aaron L. Bramson
Cover of the book Resilient Spirits by Michael D. Ryall, Aaron L. Bramson
Cover of the book Genetic Codes of Culture? by Michael D. Ryall, Aaron L. Bramson
Cover of the book How to Become a Counselling Psychologist by Michael D. Ryall, Aaron L. Bramson
Cover of the book Vinyl: A History of the Analogue Record by Michael D. Ryall, Aaron L. Bramson
Cover of the book Catch-Up and Competitiveness in China by Michael D. Ryall, Aaron L. Bramson
Cover of the book Lens by Michael D. Ryall, Aaron L. Bramson
Cover of the book How to Get Research Published in Journals by Michael D. Ryall, Aaron L. Bramson
Cover of the book Routledge Revivals: The Contentious Tithe (1976) by Michael D. Ryall, Aaron L. Bramson
Cover of the book Somalia: State Collapse, Terrorism and Piracy by Michael D. Ryall, Aaron L. Bramson
Cover of the book The Routledge Handbook of Philosophy of Information by Michael D. Ryall, Aaron L. Bramson
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy