Products related to Decision:
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Risk Assessment and Decision Analysis with Bayesian Networks
Since the first edition of this book published, Bayesian networks have become even more important for applications in a vast array of fields.This second edition includes new material on influence diagrams, learning from data, value of information, cybersecurity, debunking bad statistics, and much more.Focusing on practical real-world problem-solving and model building, as opposed to algorithms and theory, it explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide more powerful insights and better decision making than is possible from purely data-driven solutions. FeaturesProvides all tools necessary to build and run realistic Bayesian network models Supplies extensive example models based on real risk assessment problems in a wide range of application domains provided; for example, finance, safety, systems reliability, law, forensics, cybersecurity and more Introduces all necessary mathematics, probability, and statistics as needed Establishes the basics of probability, risk, and building and using Bayesian network models, before going into the detailed applicationsA dedicated website contains exercises and worked solutions for all chapters along with numerous other resources.The AgenaRisk software contains a model library with executable versions of all of the models in the book.Lecture slides are freely available to accredited academic teachers adopting the book on their course.
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RTI Applications, Volume 2 : Assessment, Analysis, and Decision Making
Once a response-to-intervention (RTI) framework is in place, how can educators determine whether or not interventions are working?This volume focuses on the "response" component of RTI, providing crucial knowledge and hands-on techniques for assessing the effectiveness of RTI practices in grades K-12.The authors show how to select suitable assessment measures, analyze data about academic and behavioral interventions, and make defensible decisions about groups, individual students, and special education eligibility.Professional development strategies are also addressed.Useful reproducible tools are included; the large-size format facilitates photocopying.Purchasers also get access to a Web page where they can download and print the reproducible materials. This book is in the Guilford Practical Interventions in the Schools Series, edited by Sandra M.Chafouleas. See also RTI Applications, Volume 1: Academic and Behavioral Interventions, which covers how to select appropriate interventions and implement them with integrity.
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Handbook of Decision Analysis
Qualitative and quantitative techniques to apply decision analysis to real-world decision problems, supported by sound mathematics, best practices, soft skills, and more With substantive illustrations based on the authors' personal experiences throughout, Handbook of Decision Analysis describes the philosophy, knowledge, science, and art of decision analysis.Key insights from decision analysis applications and behavioral decision analysis research are presented, and numerous decision analysis textbooks, technical books, and research papers are referenced for comprehensive coverage.This book does not introduce new decision analysis mathematical theory, but rather ensures the reader can understand and use the most common mathematics and best practices, allowing them to apply rigorous decision analysis with confidence. The material is supported by examples and solution steps using Microsoft Excel and includes many challenging real-world problems.Given the increase in the availability of data due to the development of products that deliver huge amounts of data, and the development of data science techniques and academic programs, a new theme of this Second Edition is the use of decision analysis techniques with big data and data analytics.Written by a team of highly qualified professionals and academics, Handbook of Decision Analysis includes information on: Behavioral decision-making insights, decision framing opportunities, collaboration with stakeholders, information assessment, and decision analysis modeling techniquesPrinciples of value creation through designing alternatives, clear value/risk tradeoffs, and decision implementationQualitative and quantitative techniques for each key decision analysis task, as opposed to presenting one technique for all decisions. Stakeholder analysis, decision hierarchies, and influence diagrams to frame descriptive, predictive, and prescriptive analytics decision problems to ensure implementation success Handbook of Decision Analysis is a highly valuable textbook, reference, and/or refresher for students and decision professionals in business, management science, engineering, engineering management, operations management, mathematics, and statistics who want to increase the breadth and depth of their technical and soft skills for success when faced with a professional or personal decision.
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Decision Analysis for Management Judgment
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.
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What is decision 22?
Decision 22 is a resolution adopted by the Conference of the Parties to the United Nations Framework Convention on Climate Change (UNFCCC). It focuses on the implementation of the Paris Agreement, specifically on enhancing the transparency framework for action and support. Decision 22 aims to strengthen the reporting and review processes to ensure that countries are meeting their climate commitments and to build trust among parties. It plays a crucial role in monitoring progress towards the goals of the Paris Agreement and increasing accountability in global efforts to combat climate change.
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What a difficult decision!
Yes, it can be really tough to make difficult decisions. It's important to take the time to carefully consider all the options and potential outcomes before making a choice. Seeking advice from trusted friends, family, or professionals can also help provide different perspectives and insights to aid in the decision-making process. Ultimately, it's important to trust your instincts and make the best decision based on the information and resources available.
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Is faith a decision?
Faith can be considered a decision in the sense that individuals can choose to believe in something despite lack of concrete evidence. It often involves a conscious choice to trust in a higher power or to have confidence in certain beliefs. However, for many people, faith is also influenced by personal experiences, upbringing, and cultural factors, making it a complex and multifaceted aspect of human belief systems. Ultimately, whether faith is a decision or not may vary from person to person.
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Is love a decision?
Love can involve both emotions and decisions. While the initial feelings of attraction and connection may be spontaneous, choosing to commit to and prioritize a relationship requires conscious decision-making. This can involve choosing to work through challenges, communicate effectively, and prioritize the well-being of the other person. Ultimately, love involves a combination of emotions and intentional choices.
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Network Meta-Analysis for Decision-Making
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.
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Foundations of Decision Analysis, Global Edition
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 students 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, students will understand the specific thought process that occurs behind approaching any decision to make easier and better life choices for themselves.
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Business Analytics : Data Analysis & Decision Making
Master data analysis, modeling and the effective use of spreadsheets with the popular BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 7E.The quantitative methods approach in this edition helps you maximize your success with a proven teach-by-example presentation, inviting writing style and complete integration of the latest version of Excel.The approach is also compatible with earlier versions of Excel for your convenience.This edition is more data-oriented than ever before with a new chapter on the two main Power BI tools in Excel -- Power Query and Power Pivot -- and a new section of data visualization with Tableau Public.Current problems and cases demonstrate the importance of the concepts you are learning.In addition, a useful Companion Website provides data and solutions files, SolverTable for optimization sensitivity analysis and Palisade DecisionTools Suite.MindTap online resources are also available.
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Sales Management : Analysis and Decision Making
This 11th edition of Sales Management continues the tradition of blending the most recent sales management research with the real-life "best practices" of leading sales organizations and sales professionals. Reflecting today’s emphasis on analytics and customer experience (CX), this edition focuses on the importance of employing different data-based selling strategies for different customer groups, as well as integrating corporate, business, marketing, and sales-level strategies and plans.Sales Management includes coverage of the current trends and issues in sales management, along with real-world examples from the contemporary business world that are used throughout the text to illuminate chapter discussions. The new 11th edition includes:Emphasis on data-driven decision making, ethics, the use of artificial intelligence, the customer experience, leadership, sales enablement technology, and new communication technologies;Updated end-of-chapter cases with application questions, along with skill-building experiential exercises with discovery investigations and focused role plays, which place students in the role of sales manager;Updated ethical dilemmas for students to practice ethical decision making;Revised ‘Sales Management in Action’ boxes;Multiple vignettes embedded in each chapter featuring sales management professionals and well-known companies discussing key topics from that chapter. This text is core reading for postgraduate, MBA, and executive education students studying sales management.An updated online instructor’s manual with solutions to cases and exercises, a revised test bank, and updated PowerPoints is available to adopters.
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Was my decision right?
As an AI language model, I don't have the ability to determine whether your decision was right or not. However, it's important to reflect on the factors that influenced your decision and consider the potential outcomes. If you made the decision based on careful consideration of the information available to you at the time, and with the best intentions, then it may have been the right decision for that moment. It's also important to remember that decisions can be complex and their outcomes may not always be immediately clear. It's okay to reassess and adjust your approach as needed.
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What is decision 15?
Decision 15 refers to a specific decision made within a particular context, so without further information it is difficult to provide a specific answer. Decision 15 could refer to a decision made within a company, a government, an organization, or any other context where decisions are made. To provide a more accurate answer, additional context or details about the specific decision 15 would be needed.
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Is a decision tolerated?
Whether a decision is tolerated depends on the context and the individuals involved. In some cases, a decision may be accepted and respected by all parties involved, leading to tolerance. However, in other situations, a decision may not be tolerated due to disagreement, conflict, or resistance from certain individuals or groups. Ultimately, the level of tolerance towards a decision can vary based on the specific circumstances and dynamics at play.
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What are decision games?
Decision games are interactive simulations that present players with a series of choices and consequences, allowing them to explore different outcomes based on their decisions. These games often involve strategic thinking, problem-solving, and critical decision-making skills. Players are typically tasked with managing resources, navigating complex scenarios, and dealing with uncertainty to achieve their objectives. Decision games can be used for educational purposes, training simulations, or simply for entertainment.
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