A Multivariate Adaptive Control Model (Classic Reprint) - Hardcover

John D. C. Little

 
9780656034437: A Multivariate Adaptive Control Model (Classic Reprint)

Synopsis

Master a practical framework for controlling complex processes that change over time.

This concise guide explains how to model profits when variables evolve and decisions must be made under uncertainty. It blends theory and method, showing how to design experiments, update knowledge, and choose control settings in a dynamic setting.

  • Learn how a profit function can be shaped by multiple control variables and time‑varying parameters.
  • See how Bayesian ideas and dynamic programming work together to optimize decisions.
  • Understand how a two‑factorial experiment informs learning and how new information updates beliefs.
  • Explore how to plan experiments, manage information loss, and adjust controls as the process changes.
Ideal for readers seeking a rigorous, applied treatment of adaptive control and decision making under uncertainty in evolving systems.

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