Analyzing Decision Making

Analyzing Decision Making

Author: Jordan J. Louviere

Publisher: SAGE

Published: 1988-03

Total Pages: 100

ISBN-13: 9780803927575

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This volume introduces the theory, method, and applications of one type of conjoint analysis technique. These techniques are used to study individual judgement and decision processes and forecast the chosen behavior of individuals or the populations they represent.


Handbook of Decision Analysis

Handbook of Decision Analysis

Author: Gregory S. Parnell

Publisher: John Wiley & Sons

Published: 2013-01-24

Total Pages: 441

ISBN-13: 1118515846

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A ONE-OF-A-KIND GUIDE TO THE BEST PRACTICES IN DECISION ANALYSIS Decision analysis provides powerful tools for addressing complex decisions that involve uncertainty and multiple objectives, yet most training materials on the subject overlook the soft skills that are essential for success in the field. This unique resource fills this gap in the decision analysis literature and features both soft personal/interpersonal skills and the hard technical skills involving mathematics and modeling. Readers will learn how to identify and overcome the numerous challenges of decision making, choose the appropriate decision process, lead and manage teams, and create value for their organization. Performing modeling analysis, assessing risk, and implementing decisions are also addressed throughout. Additional features include: Key insights gleaned from decision analysis applications and behavioral decision analysis research Integrated coverage of the techniques of single- and multiple-objective decision analysis Multiple qualitative and quantitative techniques presented for each key decision analysis task Three substantive real-world case studies illustrating diverse strategies for dealing with the challenges of decision making Extensive references for mathematical proofs and advanced topics The Handbook of Decision Analysis is an essential reference for academics and practitioners in various fields including business, operations research, engineering, and science. The book also serves as a supplement for courses at the upper-undergraduate and graduate levels.


Network Meta-Analysis for Decision-Making

Network Meta-Analysis for Decision-Making

Author: Sofia Dias

Publisher: John Wiley & Sons

Published: 2018-03-19

Total Pages: 484

ISBN-13: 1118647505

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A practical guide to network meta-analysis with examples and code In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish which interventions are effective and cost-effective. Often a single study will not provide the answers and it is desirable to synthesise evidence from multiple sources, usually randomised controlled trials. This book takes an approach to evidence synthesis that is specifically intended for decision making when there are two or more treatment alternatives being evaluated, and assumes that the purpose of every synthesis is to answer the question "for this pre-identified population of patients, which treatment is 'best'?" A comprehensive, coherent framework for network meta-analysis (mixed treatment comparisons) is adopted and estimated using Bayesian Markov Chain Monte Carlo methods implemented in the freely available software WinBUGS. Each chapter contains worked examples, exercises, solutions and code that may be adapted by readers to apply to their own analyses. This book can be used as an introduction to evidence synthesis and network meta-analysis, its key properties and policy implications. Examples and advanced methods are also presented for the more experienced reader. Methods used throughout this book can be applied consistently: model critique and checking for evidence consistency are emphasised. Methods are based on technical support documents produced for NICE Decision Support Unit, which support the NICE Methods of Technology Appraisal. Code presented is also the basis for the code used by the ISPOR Task Force on Indirect Comparisons. Includes extensive carefully worked examples, with thorough explanations of how to set out data for use in WinBUGS and how to interpret the output. Network Meta-Analysis for Decision Making will be of interest to decision makers, medical statisticians, health economists, and anyone involved in Health Technology Assessment including the pharmaceutical industry.


Financial Analysis and Decision Making

Financial Analysis and Decision Making

Author: David E. Vance

Publisher: McGraw Hill Professional

Published: 2002-11-23

Total Pages: 428

ISBN-13: 0071415599

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A solid understanding of financial analysis is an essentialbut often overlookedprerequisite to making key strategic decisions.Financial Analysis and Decision Making explains how all professionals can use the tools and techniques of financial analysis to define problems, gather and organize relevant information, and improve problem-solving skills. David E. Vance, C.P.A., is an instructor in the M.B.A. program at Rutgers University School of Business and director of executive development for the Rohrer Center for Management and Entrepreneurship.


Analyzing the Role of Cognitive Biases in the Decision-Making Process

Analyzing the Role of Cognitive Biases in the Decision-Making Process

Author: Verónica Juárez Ramos

Publisher: Information Science Reference

Published: 2018-08-03

Total Pages: 0

ISBN-13: 9781522529781

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"This book explores how these cognitive biases affect us in daily life in our decision-making. It explores the influences through using of these cognitive shortcuts in the decision-making process. Studying in which contexts (ambiguous or not) cognitive biases benefit or harm the behavior or decision-making"--


Foundations of Decision Analysis

Foundations of Decision Analysis

Author: Ronald A. Howard

Publisher:

Published: 2015-01-21

Total Pages: 0

ISBN-13: 9780132336246

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For courses in Decision Making and Engineering. The Fundamentals of Analyzing and Making Decisions Foundations of Decision Analysis is a groundbreaking text that explores the art of decision making, both in life and in professional settings. By exploring themes such as dealing with uncertainty and understanding the distinction between a decision and its outcome, the First Edition teaches readers to achieve clarity of action in any situation. The book treats decision making as an evolutionary process from a scientific standpoint. Strategic decision-making analysis is presented as a tool to help students understand, discuss, and settle on important life choices. Through this text, readers will understand the specific thought process that occurs behind approaching any decision to make easier and better life choices for themselves.


Quantitative Analysis for Decision Makers, 7th Edition (Formally known as Quantitative Methods for Decision Makers)

Quantitative Analysis for Decision Makers, 7th Edition (Formally known as Quantitative Methods for Decision Makers)

Author: Mik Wisniewski

Publisher: Pearson UK

Published: 2019-05-12

Total Pages: 955

ISBN-13: 1292276649

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Were you looking for the book with access to MyLab Math Global? This product is the book alone and does NOT come with access to MyLab Math Global. Students, if MyLab Math Global is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyLab Math Global should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. There's no doubt that a manager's job is getting tougher. Do it better, do it faster, do it cheaper are the pressures every manager faces. And at the heart of every manager's job is decision-making: deciding what to do and how to do it. This well-respected text looks at how quantitative analysis techniques can be used effectively to support such decision making. As a manager, developing a good understanding of the quantitative analysis techniques at your disposal is crucial. Knowing how, and when, to use them and what their results really mean can be the difference between making a good or bad decision and, ultimately, between business success and failure. Appealing both to students on introductory-level courses and to MBA and postgraduate students, this internationally successful text provides an accessible introduction to a subject area that students often find difficult. Quantitative Analysis for Decision Makers (formerly known as Quantitative Methods for Decision Makers) helps students to understand the relevance of quantitative methods of analysis to management decision-making by relating techniques directly to real-life business decisions in public and private sector organisations and focuses on developing appropriate skills and understanding of how the techniques fit into the wider management process. Key features: The use of real data sets to show how analytical techniques are used in practice “QADM in Action” case studies illustrating how organisations benefit from the use of analytical techniques Articles from the Financial Times illustrating the use of such techniques in a variety of business settings Fully worked examples and exercises supported by Excel data sets Student Progress Check activities in each chapter with solutions A 300+ page Tutors Solutions Manual


Decision Making

Decision Making

Author: Beverly Hill

Publisher:

Published: 2018-10-28

Total Pages: 50

ISBN-13: 9781729353899

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Decision is a single mental action that has the power to change any personal problem. The certain decisions have the potential to provide you an immense success. All the people who learned and mastered decision making are very successful in everything they do. They differ from others because they are capable of changing the circumstances around them within a very short amount of time, just because they make the right decision at the right time.Decision making is not just important in your business, but also in every other area of your life. This force affects your whole life, your relationships, family, social life and also physical and mental health. Like any other mental ability, you can also develop your ability of decision making. You have to do it by yourself, through unwavering discipline and proper understanding of the power of this force.The best way is to learn to listen to your gut feelings, your inner voice that knowing place inside you that is called your intuition. In many cases, our parents taught us to rationalize, to think and analyze all the facts then crunch the numbers and make a decision. Sometimes that works but if you talk to highly successful people, they all rely to some degree on their intuition. They seem to know when it is time to go by the book or go with the flow. Flow has more fluidity and has more flexibility to move, change and morph into the best of the best. Our natural innate energy exchanges blend with other energies to become the best idea, the best solution or the best something. When rules and limitations come into play, the flow is restricted. Limitations and excuses try to sneak their way into the decision.By allowing your intuition to blossom and interact with the flow, the flow increases and widens, providing even more opportunities. The natural rhythm and order of things becomes more synchronous and the decision seems to emerge rather than having to be wrestled with. New inspiration is birthed and more and more energy pours into the flow. You seem to know exactly what to do and when to do it.Decisions become more of an art than an agony. As you listen to that inner you, you are automatically steered in the right direction. It's like you've got this eagle, high up in the sky, telling you what is ahead so you can move in the right direction and be ready when it get here.


Decision Modelling for Health Economic Evaluation

Decision Modelling for Health Economic Evaluation

Author: Andrew Briggs

Publisher: OUP Oxford

Published: 2006-08-17

Total Pages: 269

ISBN-13: 0191004952

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In financially constrained health systems across the world, increasing emphasis is being placed on the ability to demonstrate that health care interventions are not only effective, but also cost-effective. This book deals with decision modelling techniques that can be used to estimate the value for money of various interventions including medical devices, surgical procedures, diagnostic technologies, and pharmaceuticals. Particular emphasis is placed on the importance of the appropriate representation of uncertainty in the evaluative process and the implication this uncertainty has for decision making and the need for future research. This highly practical guide takes the reader through the key principles and approaches of modelling techniques. It begins with the basics of constructing different forms of the model, the population of the model with input parameter estimates, analysis of the results, and progression to the holistic view of models as a valuable tool for informing future research exercises. Case studies and exercises are supported with online templates and solutions. This book will help analysts understand the contribution of decision-analytic modelling to the evaluation of health care programmes. ABOUT THE SERIES: Economic evaluation of health interventions is a growing specialist field, and this series of practical handbooks will tackle, in-depth, topics superficially addressed in more general health economics books. Each volume will include illustrative material, case histories and worked examples to encourage the reader to apply the methods discussed, with supporting material provided online. This series is aimed at health economists in academia, the pharmaceutical industry and the health sector, those on advanced health economics courses, and health researchers in associated fields.