A/B Testing
A01=J Christopher Westland
AB Testing
Accounting
Author_J Christopher Westland
Brand Strategy
Bucket Testing
Business and Management
Campaign
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Computational Economics
Content Marketing
Customer Lifetime Value
Customer Relationship Management
Customer Retention
Decision Models
Decision Sciences
Digital Marketing
Direct Mail
Econometrics
Economics &Finance
Email Marketing
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Finance
Finance &Economics
Financial Markets
Game Theory
General Business and Management
Health Economics
Human Security
Inbound Marketing
Industrial Organization
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Marketing Campaign Planning
Marketing Plan and Budget
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Mathematics
Money &Banking
Operations Management
Operations Research
Organizational Behavior
Policy Studies
Political Science
Product or Service Launch
Public Policy
Quantitative Finance
Social Issues
Social Sciences
Split Testing
Split-run Testing
Statistics
Strategic Marketing
Supply Chain Management
Product details
- ISBN 9789819802036
- Publication Date: 07 Apr 2025
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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Bayesian A/B Decision Models encapsulates J Christopher Westland's deep expertise in algorithmic decision-making, honed through years of experience in specialized fields like auditing and serving as an expert witness in computing damages for corporate and industrial legal cases. While traditional statistical methods provide valuable insights, they often fall short of capturing the complexities of real-world scenarios that require sophisticated decision-making. Enter the Bayesian A/B decision model — a powerful alternative that offers the flexibility and adaptability essential for navigating the intricate demands of consultancy and legal expert roles.Westland has found the versatility of Bayesian A/B models to be particularly transformative, enabling him to respond effectively to diverse and dynamic requests for detailed analytical reports. This approach allows for the delivery of precise financial analyses and outcomes that are highly tailored and often beyond the reach of traditional methods. In the high-stakes arenas of legal and corporate deliberations, where the accuracy and adaptability of statistical analysis can be the tipping point, this advantage has proven invaluable.In Bayesian A/B Decision Models, Westland extends the application of Bayesian A/B testing across a wide array of fields, including healthcare, marketing, and finance, as well as in more specialized sectors where traditional A/B testing and Frequentist approaches may be insufficient due to their limitations. The book features a comprehensive technical appendix with complete computer code for all examples discussed, offering readers practical tools that can be customized and implemented in their work.Whether you're an experienced statistician, an emerging analyst, or a professional exploring the potential of Bayesian A/B testing, this book provides a thorough overview and detailed applications that highlight the unique benefits of this innovative statistical approach.
