Items related to Decision-Making under Uncertainty: An Applied Statistics...
Synopsis
In real-life decision-making situations it is necessary to make decisions with incomplete information, for oftentimes uncertain results. In Decision-Making Under Uncertainty, Dr. Chacko applies his years of statistical research and experience to the analysis of twenty-four real-life decision-making situations, both those with few data points (eg: Cuban Missile Crisis), and many data points (eg: aspirin for heart attack prevention). These situations encompass decision-making in a variety of business, social and political, physical and biological, and military environments. Though different, all of these have one characteristic in common: their outcomes are uncertain/unkown, and unknowable. Chacko Demonstrates how the decision-maker can reduce uncertainty by choosing probable outcomes using the statistical methods he introduces.
This detailed volume develops standard statistical concepts (t, x2, normal distribution, ANOVA), and the less familiar concepts (logical probability, subjective probability, Bayesian Inference, Penalty for Non-Fulfillment, Bluff-Threats Matrix, etc.). Chacko also offers a thorough discussion of the underlying theoretical principles. The end of each chapter contains a set of questions, three quarters of which focus on concepts, formulation, conclusion, resource commitments, and caveats; only one quarter with computations. Ideal for the practitioner, the work is also designed to serve as the primary text for graduate or advanced undergraduate courses in statistics and decision science.
"synopsis" may belong to another edition of this title.
About the Author
GEORGE K. CHACKO is Professor of Systems Science at the University of Southern California, and formerly the manager of operations research at Hughes Semiconductor Division. His previous works include Technology Management (Praeger 1988) and Dynamic Program Management (Praeger 1989).
"About this title" may belong to another edition of this title.
- PublisherPraeger
- Publication date1990
- ISBN 10 0275935698
- ISBN 13 9780275935696
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages272
Search results for Decision-Making under Uncertainty: An Applied Statistics...
Stock Image
Decision-Making under Uncertainty: An Applied Statistics Approach
Seller: suffolkbooks, Center moriches, NY, U.S.A.
Seller rating 5 out of 5 stars
hardcover. Condition: Very Good. Fast Shipping - Safe and Secure 7 days a week! Seller Inventory # 3TWOWA001YDT
Quantity: 2 available
Stock Image
Decision-Making under Uncertainty: An Applied Statistics Approach
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # ABLIING23Feb2215580088746
Quantity: Over 20 available
Stock Image
Decision-Making under Uncertainty
Print on DemandSeller: PBShop.store US, Wood Dale, IL, U.S.A.
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L1-9780275935696
Quantity: Over 20 available
Stock Image
Decision-Making under Uncertainty
Print on DemandSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L1-9780275935696
Quantity: Over 20 available
Stock Image
Decision-Making under Uncertainty (Hardcover)
Published by
Bloomsbury Publishing Plc, Westport, 1990
ISBN 10: 0275935698
ISBN 13: 9780275935696
New
Hardcover
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. In real-life decision-making situations it is necessary to make decisions with incomplete information, for oftentimes uncertain results. In Decision-Making Under Uncertainty, Dr. Chacko applies his years of statistical research and experience to the analysis of twenty-four real-life decision-making situations, both those with few data points (eg: Cuban Missile Crisis), and many data points (eg: aspirin for heart attack prevention). These situations encompass decision-making in a variety of business, social and political, physical and biological, and military environments. Though different, all of these have one characteristic in common: their outcomes are uncertain/unkown, and unknowable. Chacko Demonstrates how the decision-maker can reduce uncertainty by choosing probable outcomes using the statistical methods he introduces.This detailed volume develops standard statistical concepts (t, x2, normal distribution, ANOVA), and the less familiar concepts (logical probability, subjective probability, Bayesian Inference, Penalty for Non-Fulfillment, Bluff-Threats Matrix, etc.). Chacko also offers a thorough discussion of the underlying theoretical principles. The end of each chapter contains a set of questions, three quarters of which focus on concepts, formulation, conclusion, resource commitments, and caveats; only one quarter with computations. Ideal for the practitioner, the work is also designed to serve as the primary text for graduate or advanced undergraduate courses in statistics and decision science. It is often necessary to make decisions with incomplete information. In this work, the author applies his statistical research experience to the analysis of 24 decision-making situations, demonstrating how decision-makers can reduce uncertainty by using the statistical methods he introduces. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780275935696
Quantity: 1 available
Stock Image
Decision-Making under Uncertainty: An Applied Statistics Approach
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9780275935696_new
Quantity: Over 20 available
Stock Image
Decision-Making under Uncertainty: An Applied Statistics Approach
Print on DemandSeller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 665. Seller Inventory # C9780275935696
Quantity: Over 20 available
Seller Image
Decision-Making under Uncertainty
Print on DemandSeller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. It is often necessary to make decisions with incomplete information. In this work, the author applies his statistical research experience to the analysis of 24 decision-making situations, demonstrating how decision-makers can reduce uncertainty by using the. Seller Inventory # 446866691
Quantity: Over 20 available
Stock Image
Decision-Making under Uncertainty: An Applied Statistics Approach
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: Brand New. 272 pages. 9.75x6.50x1.00 inches. In Stock. Seller Inventory # x-0275935698
Quantity: 2 available
Seller Image
Decision-Making under Uncertainty : An Applied Statistics Approach
Print on DemandSeller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In real-life decision-making situations it is necessary to make decisions with incomplete information, for oftentimes uncertain results. In Decision-Making Under Uncertainty, Dr. Chacko applies his years of statistical research and experience to the analysis of twenty-four real-life decision-making situations, both those with few data points (eg: Cuban Missile Crisis), and many data points (eg: aspirin for heart attack prevention). These situations encompass decision-making in a variety of business, social and political, physical and biological, and military environments. Though different, all of these have one characteristic in common: their outcomes are uncertain/unkown, and unknowable. Chacko Demonstrates how the decision-maker can reduce uncertainty by choosing probable outcomes using the statistical methods he introduces.This detailed volume develops standard statistical concepts (t, x2, normal distribution, ANOVA), and the less familiar concepts (logical probability, subjective probability, Bayesian Inference, Penalty for Non-Fulfillment, Bluff-Threats Matrix, etc.). Chacko also offers a thorough discussion of the underlying theoretical principles. The end of each chapter contains a set of questions, three quarters of which focus on concepts, formulation, conclusion, resource commitments, and caveats; only one quarter with computations. Ideal for the practitioner, the work is also designed to serve as the primary text for graduate or advanced undergraduate courses in statistics and decision science. Seller Inventory # 9780275935696
Quantity: 1 available