Naive Decision Making
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Naive Decision Making
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Author : T. W. Körner
language : en
Publisher: Cambridge University Press
Release Date : 2008-10-16
Naive Decision Making written by T. W. Körner and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-16 with Mathematics categories.
How should one choose the best restaurant to eat in? Can one really make money at gambling? Or predict the future? Naive Decision Making presents the mathematical basis for making decisions where the outcome may be uncertain or the interests of others have to taken into consideration. Professor Körner takes the reader on an enjoyable journey through many aspects of mathematical decision making, with pithy observations, anecdotes and quotations. Topics include probability, statistics, Arrow's theorem, Game Theory and Nash equilibrium. Readers will also gain a great deal of insight into mathematics in general and the role it can play within society. Intended for those with elementary calculus, this book is ideal as a supplementary text for undergraduate courses in probability, game theory and decision making. Engaging and intriguing, it will also appeal to all those of a mathematical mind. To aid understanding, many exercises are included, with solutions available online.
Naive Decision Making
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Author : T. W. Ko ̈rner
language : en
Publisher:
Release Date : 2014-05-14
Naive Decision Making written by T. W. Ko ̈rner and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-14 with Decision making categories.
Takes readers on an enjoyable journey through many aspects of mathematical decision making; the only prerequisite is elementary calculus.
Naive Decision Making
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Author : T. W. Körner
language : en
Publisher: Cambridge University Press
Release Date : 2008-10-16
Naive Decision Making written by T. W. Körner and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-16 with Mathematics categories.
How should one choose the best restaurant to eat in? Can one really make money at gambling? Or predict the future? Naive Decision Making presents the mathematical basis for making everyday decisions, which my often be based on very little or uncertain data. Professor Körner takes the reader on an enjoyable journey through many aspects of mathematical decision making, with relatable observations, anecdotes and quotations. Topics include probability, statistics, Arrow's theorem, Game Theory and Nash equilibrium. Readers will also gain a great deal of insight into mathematics in general and the role it can play within society. Suitable for those with elementary calculus, this book is ideal as a supplementary text for undergraduate courses in probability, game theory and decision making. Engaging and intriguing, it will also appeal to all those of a mathematical mind. To aid understanding, many exercises are included, with solutions available online.
Na Ve Advice In Financial Decision Making Hidden Costs Of A Free Offer
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Author : Julia Sprenger
language : en
Publisher:
Release Date : 2016
Na Ve Advice In Financial Decision Making Hidden Costs Of A Free Offer written by Julia Sprenger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
The Manual Of Strategic Economic Decision Making
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Author : Jeff Grover
language : en
Publisher: Springer
Release Date : 2016-11-29
The Manual Of Strategic Economic Decision Making written by Jeff Grover and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-29 with Mathematics categories.
This book is an extension of the author’s first book and serves as a guide and manual on how to specify and compute 2-, 3-, and 4-Event Bayesian Belief Networks (BBN). It walks the learner through the steps of fitting and solving fifty BBN numerically, using mathematical proof. The author wrote this book primarily for inexperienced learners as well as professionals, while maintaining a proof-based academic rigor. The author's first book on this topic, a primer introducing learners to the basic complexities and nuances associated with learning Bayes’ theorem and inverse probability for the first time, was meant for non-statisticians unfamiliar with the theorem—as is this book. This new book expands upon that approach and is meant to be a prescriptive guide for building BBN and executive decision-making for students and professionals; intended so that decision-makers can invest their time and start using this inductive reasoning principle in their decision-making processes. It highlights the utility of an algorithm that served as the basis for the first book, and includes fifty 2-, 3-, and 4-event BBN of numerous variants.
The Economist Guide To Decision Making
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Author : Helga Drummond
language : en
Publisher: Profile Books
Release Date : 2012-07-26
The Economist Guide To Decision Making written by Helga Drummond and has been published by Profile Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-26 with Business & Economics categories.
We make decisions, and these decisions make us and our organisations. And in theory, decision-making should be easy: a problem is identified, the decision-makers generate solutions, and choose the optimal one - and powerful mathematical tools are available to facilitate the task. Yet if it is all so simple why do organisations, both private and public sector, keep making mistakes - the results of which are borne by shareholders, employees, taxpayers and ultimately society at large? This guide to decision making. by leading decision science academic Helga Drummond, aims to improve decision-making in organisations. It explores how and why decisions go awry in the first place - and offers practical advice on what decision-makers can do to counter the psychological, social and other forces that can undermine individual judgment and pull organisations off course. Full of examples of good and bad decision-making from around the world, it will make readers think more clearly about decisions big and small.
Intelligent And Fuzzy Techniques In Big Data Analytics And Decision Making
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Author : Cengiz Kahraman
language : en
Publisher: Springer
Release Date : 2019-07-05
Intelligent And Fuzzy Techniques In Big Data Analytics And Decision Making written by Cengiz Kahraman and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-05 with Technology & Engineering categories.
This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.
Data Mining And Statistics For Decision Making
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Author : Stéphane Tufféry
language : en
Publisher: John Wiley & Sons
Release Date : 2011-03-23
Data Mining And Statistics For Decision Making written by Stéphane Tufféry and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-23 with Mathematics categories.
Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover patterns on which to base marketing objectives. This book looks at both classical and recent techniques of data mining, such as clustering, discriminant analysis, logistic regression, generalized linear models, regularized regression, PLS regression, decision trees, neural networks, support vector machines, Vapnik theory, naive Bayesian classifier, ensemble learning and detection of association rules. They are discussed along with illustrative examples throughout the book to explain the theory of these methods, as well as their strengths and limitations. Key Features: Presents a comprehensive introduction to all techniques used in data mining and statistical learning, from classical to latest techniques. Starts from basic principles up to advanced concepts. Includes many step-by-step examples with the main software (R, SAS, IBM SPSS) as well as a thorough discussion and comparison of those software. Gives practical tips for data mining implementation to solve real world problems. Looks at a range of tools and applications, such as association rules, web mining and text mining, with a special focus on credit scoring. Supported by an accompanying website hosting datasets and user analysis. Statisticians and business intelligence analysts, students as well as computer science, biology, marketing and financial risk professionals in both commercial and government organizations across all business and industry sectors will benefit from this book.
Decision Making
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Author : Ray Crozier
language : en
Publisher: Routledge
Release Date : 2002-09-11
Decision Making written by Ray Crozier and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-09-11 with Business & Economics categories.
This book offers an exciting new collection of recent research on the actual processes that humans use when making decisions in their everyday lives and in business situations. The contributors use cognitive psychological techniques to break down the constituent processes and set them in their social context. The contributors are from many different countries and draw upon a wide range of techniques, making this book a valuable resource to cognitive psychologists in applied settings, economists and managers.
You Are Your Decisions
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Author : Love Ekenberg
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2018-07-27
You Are Your Decisions written by Love Ekenberg and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-27 with Language Arts & Disciplines categories.
There are basically two categories of books on decision-making. One tells stories of how intuition guides decision-making. The other delineates a formal approach, based on decision-trees or matrices, often impenetrable to real-life decision makers. This book combines the best elements of both perspectives in a way that can be easily understood by all who are struggling with complex decisions, either as individuals or as organisations. It demonstrates how intuition and psychological insights can be harnessed to design relevant models and decision strategies, and describes how goals can be adequately formed and operationalised. Finally, the book integrates these processes in an analytical framework for decision-making.