PPT-Decision Analysis Lecture 10

Tony Cox My email tcoxdenveraolcom Course web site httpcoxassociatescomDA Agenda Problem set 8 solutions Problem set 9 Hypothesis testing statistical decision theory view. SYSTEMS. Decision Support Software. Reasons for the growth of decision-making information systems. People need to. People must make . People must . techniques, such as modeling and forecasting, to make good decisions. A . decision tree. is a graphical representation of every possible sequence of decision and random outcomes (states of nature) that can occur within a given decision making problem.. A decision tree is composed of a collection of nodes (represented by circles and squares) interconnected by branches (represented by lines).. Management science uses a scientific approach for solving management problems. It is used in a variety of organizations to solve many different types of problems . It encompasses a logical mathematical approach to problem solving.  . L. . Robin Keller*, Jay Simon**. * . University of California, Irvine, . USA. President. , INFORMS (INFORMS.org). ** Defense Resources Management Institute, USA.  . 11TH . International Workshop on Operations . Alternatives and States of Nature. Good Decisions vs. Good Outcomes. Payoff Matrix. Decision Trees. Utility Functions. Decisions under Uncertainty. Decisions under Risk. Decision Analysis - Payoff Tables. SYSTEMS. Decision Support Software. Reasons for the growth of decision-making information systems. People need to analyze large amounts of information. People must make decisions quickly. People must apply sophisticated analysis techniques, such as modeling and forecasting, to make good decisions. Quantitative . Analysis and Decision Making. Quantitative Analysis. Model Development. Software Packages . Operations Research. The body of knowledge involving quantitative approaches to decision making is referred to as . Syllabus. Lecture 01 Describing Inverse Problems. Lecture 02 Probability and Measurement Error, Part 1. Lecture 03 Probability and Measurement Error, Part 2 . Lecture 04 The L. 2. Norm and Simple Least Squares. Decision Trees and Decision Tables 2 Decision Trees and Decision Tables Often our problem solutions require decisions to be made according to two or more conditions or combinations of conditions Decision trees represent such decision as a Lecture 15: Decision Trees Outline Motivation Decision Trees Splitting criteria Stopping Conditions & Pruning Text Reading: Section 8.1, p. 303-314. 2 Geometry of Data Recall: l ogistic regression Computer Science cpsc322, Lecture 34. (Textbook . Chpt. 9.3). Nov, 28, 2012. “Single” Action vs. Sequence of Actions. Set of primitive decisions that can be treated as . a. . single macro decision . Health Care Processes and Decision Making. Lecture e. This material (Comp 2 Unit 4) was developed by Oregon Health & Science University, funded by the Department of Health and Human Services, Office of the National Coordinator for Health Information Technology under Award Number IU24OC000015. This material was updated in 2016 by Bellevue College under Award Number 90WT0002.. Baba Maiyaki Musa . MBBS MPH FWACP. At the end of this module the student will be able to : . describe a nonclinical work-related decision.. Describe who makes the decision, what actions are possible, what the resulting. Good Decisions vs. Good Outcomes. Payoff Matrix. Decision Trees. Utility Functions. Decisions under Uncertainty. Decisions under Risk. Decision Analysis - Payoff Tables. Case Problem - (A) p. 38. Decision Analysis - Payoff Tables.