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MAKING HARD DECISIONS WITH DECISIONTOOLS® is a special version of Bob Clemen's best-selling text, MAKING HARD DECISIONS. This straight-forward book teaches the fundamental ideas of decision analysis, without an overly technical explanation of the mathematics used in management science. This new version incorporates and implements the powerful DecisionTools® by Palisade Corporation, the world's leading toolkit for risk and decision analysis. At the end of each chapter, topics are illustrated with step-by-step instructions for DecisionTools®. This new version makes the text more useful and relevant to students to business and engineering.
Hardcover Textbook ISBN 0534383041 Decision Tools CD ISBN 0534409199 Decision Tools CD ISBN 0495015075 are included in the set.
This best-selling and up-to-date survey of decision analysis concepts and techniques is accessible to students with limited mathematical backgrounds. It is designed for advanced undergraduate and MBA-level courses in decision analysis and also for business courses in introductory quantitative methods. (Prerequisites: college algebra; introductory statistics.)
Through a blend of compelling exercises, illustrations, and stories, the bestselling author of Thinking in Bets will train you to combat your own biases, address your weaknesses, and help you become a better and more confident decision-maker. What do you do when you're faced with a big decision? If you're like most people, you probably make a pro and con list, spend a lot of time obsessing about decisions that didn't work out, get caught in analysis paralysis, endlessly seek other people's opinions to find just that little bit of extra information that might make you sure, and finally go with your gut. What if there was a better way to make quality decisions so you can think clearly, feel more confident, second-guess yourself less, and ultimately be more decisive and be more productive? Making good decisions doesn't have to be a series of endless guesswork. Rather, it's a teachable skill that anyone can sharpen. In How to Decide, bestselling author Annie Duke and former professional poker player lays out a series of tools anyone can use to make better decisions. You'll learn: • To identify and dismantle hidden biases. • To extract the highest quality feedback from those whose advice you seek. • To more accurately identify the influence of luck in the outcome of your decisions. • When to decide fast, when to decide slow, and when to decide in advance. • To make decisions that more effectively help you to realize your goals and live your values. Through interactive exercises and engaging thought experiments, this book helps you analyze key decisions you've made in the past and troubleshoot those you're making in the future. Whether you're picking investments, evaluating a job offer, or trying to figure out your romantic life, How to Decide is the key to happier outcomes and fewer regrets.
The four principles that can help us to overcome our brains' natural biases to make better, more informed decisions--in our lives, careers, families and organizations. In Decisive, Chip Heath and Dan Heath, the bestselling authors of Made to Stick and Switch, tackle the thorny problem of how to overcome our natural biases and irrational thinking to make better decisions, about our work, lives, companies and careers. When it comes to decision making, our brains are flawed instruments. But given that we are biologically hard-wired to act foolishly and behave irrationally at times, how can we do better? A number of recent bestsellers have identified how irrational our decision making can be. But being aware of a bias doesn't correct it, just as knowing that you are nearsighted doesn't help you to see better. In Decisive, the Heath brothers, drawing on extensive studies, stories and research, offer specific, practical tools that can help us to think more clearly about our options, and get out of our heads, to improve our decision making, at work and at home.
A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them. Automated decision-making systems or decision-support systems—used in applications that range from aircraft collision avoidance to breast cancer screening—must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through interaction with the environment; state uncertainty, in which we do not know the current state of the environment due to imperfect perceptual information; and decision contexts involving multiple agents. The book focuses primarily on planning and reinforcement learning, although some of the techniques presented draw on elements of supervised learning and optimization. Algorithms are implemented in the Julia programming language. Figures, examples, and exercises convey the intuition behind the various approaches presented.
Decision Analysis for Management Judgment is unique in its breadth of coverage of decision analysis methods. It covers both the psychological problems that are associated with unaided managerial decision making and the decision analysis methods designed to overcome them. It is presented and explained in a clear, straightforward manner without using mathematical notation. This latest edition has been fully revised and updated and includes a number of changes to reflect the latest developments in the field.
This work on strategic decision making focuses on multi-objective decision analysis with spreadsheets
The Risk Management Handbook offers readers knowledge of current best practice and cutting-edge insights into new developments within risk management. Risk management is dynamic, with new risks continually being identified and risk techniques being adapted to new challenges. Drawing together leading voices from the major risk management application areas, such as political, supply chain, cybersecurity, ESG and climate change risk, this edited collection showcases best practice in each discipline and provides a comprehensive survey of the field as a whole. This second edition has been updated throughout to reflect the latest developments in the industry. It incorporates content on updated and new standards such as ISO 31000, MOR and ISO 14000. It also offers brand new chapters on ESG risk management, legal risk management, cyber risk management, climate change risk management and financial risk management. Whether you are a risk professional wanting to stay abreast of your field, a student seeking a broad and up-to-date introduction to risk, or a business leader wanting to get to grips with the risks that face your business, this book will provide expert guidance.