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Foundations of Info-Metrics: Modeling, Inference, and Imperfect Information, Golan Amos


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Автор: Golan Amos
Название:  Foundations of Info-Metrics: Modeling, Inference, and Imperfect Information
ISBN: 9780199349531
Издательство: Oxford Academ
Издательство: Oxford University Press, USA
Классификация:

ISBN-10: 0199349533
Обложка/Формат: Paperback
Страницы: 488
Вес: 0.80 кг.
Дата издания: 05.12.2017
Язык: English
Размер: 23.11 x 15.49 x 3.05 cm
Читательская аудитория: General (us: trade)
Подзаголовок: Modeling, inference, and imperfect information
Ссылка на Издательство: Link
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Поставляется из: США
Описание: Info-metrics is the science of modeling, reasoning, and drawing inferences under conditions of noisy and insufficient information. It is at the intersection of information theory, statistical inference, and decision-making under uncertainty. It plays an important role in helping make informed decisions even when there is inadequate or incomplete information because it provides a framework to process available information with minimal reliance on assumptions that cannot be validated.

In this pioneering book, Amos Golan, a leader in info-metrics, focuses on unifying information processing, modeling and inference within a single constrained optimization framework. Foundations of Info-Metrics provides an overview of modeling and inference, rather than a problem specific model, and progresses from the simple premise that information is often insufficient to provide a unique answer for decisions we wish to make. Each decision, or solution, is derived from the available input information along with a choice of inferential procedure.

The book contains numerous multidisciplinary applications and case studies, which demonstrate the simplicity and generality of the framework in real world settings. Examples include initial diagnosis at an emergency room, optimal dose decisions, election forecasting, network and information aggregation, weather pattern analyses, portfolio allocation, strategy inference for interacting entities, incorporation of prior information, option pricing, and modeling an interacting social system. Graphical representations illustrate how results can be visualized while exercises and problem sets facilitate extensions. This book is this designed to be accessible for researchers, graduate students, and practitioners across the disciplines.



Mastering `Metrics: The Path from Cause to Effect

Автор: Angrist Joshua, Pischke Jorn-Steffen
Название: Mastering `Metrics: The Path from Cause to Effect
ISBN: 0691152845 ISBN-13(EAN): 9780691152844
Издательство: Wiley
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Цена: 5544.00 р.
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Описание: "Applied econometrics, known to aficionados as `metrics, is the original data science. `Metrics encompasses the statistical methods economists use to untangle cause and effect in human affairs. Through accessible discussion and with a dose of kung fu-themed humor, Mastering `Metrics presents the essential tools of econometric research and demonstrates why econometrics is exciting and useful.The five most valuable econometric methods, or what the authors call the Furious Five--random assignment, regression, instrumental variables, regression discontinuity designs, and differences in differences--are illustrated through well-crafted real-world examples (vetted for awesomeness by Kung Fu Panda`s Jade Palace). Does health insurance make you healthier? Randomized experiments provide answers. Are expensive private colleges and selective public high schools better than more pedestrian institutions? Regression analysis and a regression discontinuity design reveal the surprising truth. When private banks teeter, and depositors take their money and run, should central banks step in to save them? Differences-in-differences analysis of a Depression-era banking crisis offers a response. Could arresting O. J. Simpson have saved his ex-wife`s life? Instrumental variables methods instruct law enforcement authorities in how best to respond to domestic abuse.Wielding econometric tools with skill and confidence, Mastering `Metrics uses data and statistics to illuminate the path from cause to effect. Shows why econometrics is important Explains econometric research through humorous and accessible discussion Outlines empirical methods central to modern econometric practice Works through interesting and relevant real-world examples "--

The Tyranny of Metrics

Автор: Muller Jerry Z.
Название: The Tyranny of Metrics
ISBN: 0691191913 ISBN-13(EAN): 9780691191911
Издательство: Wiley
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Цена: 2691.00 р.
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Описание:

How the obsession with quantifying human performance threatens education, medicine, business, government--and the quality of our lives

Today, organizations of all kinds are ruled by the belief that the path to success is quantifying human performance, publicizing the results, and dividing up the rewards based on the numbers. But in our zeal to instill the evaluation process with scientific rigor, we've gone from measuring performance to fixating on measuring itself--and this tyranny of metrics now threatens the quality of our organizations and lives. In this brief, accessible, and powerful book, Jerry Muller uncovers the damage metrics is causing and shows how we can begin to fix the problem. Filled with examples from business, medicine, education, government, and other fields, the book explains why paying for measured performance doesn't work, why surgical scorecards may increase deaths, and much more. But the book also shows that, when used as a complement to judgment based on personal experience, metrics can be beneficial, and it includes an invaluable checklist of when and how to use them. The result is an essential corrective to a harmful trend that increasingly affects us all.

The Tyranny of Metrics

Автор: Muller Jerry Z.
Название: The Tyranny of Metrics
ISBN: 0691174954 ISBN-13(EAN): 9780691174952
Издательство: Wiley
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Цена: 3168.00 р.
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Описание:

How the obsession with quantifying human performance threatens our schools, medical care, businesses, and government

Today, organizations of all kinds are ruled by the belief that the path to success is quantifying human performance, publicizing the results, and dividing up the rewards based on the numbers. But in our zeal to instill the evaluation process with scientific rigor, we've gone from measuring performance to fixating on measuring itself. The result is a tyranny of metrics that threatens the quality of our lives and most important institutions. In this timely and powerful book, Jerry Muller uncovers the damage our obsession with metrics is causing--and shows how we can begin to fix the problem.

Filled with examples from education, medicine, business and finance, government, the police and military, and philanthropy and foreign aid, this brief and accessible book explains why the seemingly irresistible pressure to quantify performance distorts and distracts, whether by encouraging "gaming the stats" or "teaching to the test." That's because what can and does get measured is not always worth measuring, may not be what we really want to know, and may draw effort away from the things we care about. Along the way, we learn why paying for measured performance doesn't work, why surgical scorecards may increase deaths, and much more. But metrics can be good when used as a complement to--rather than a replacement for--judgment based on personal experience, and Muller also gives examples of when metrics have been beneficial.

Complete with a checklist of when and how to use metrics, The Tyranny of Metrics is an essential corrective to a rarely questioned trend that increasingly affects us all.

Minimum Action Curves in Degenerate Finsler Metrics

Автор: Matthias Heymann
Название: Minimum Action Curves in Degenerate Finsler Metrics
ISBN: 3319177524 ISBN-13(EAN): 9783319177526
Издательство: Springer
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Цена: 4890.00 р.
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Описание:

Preface.- Acknowledgements.- Acronyms.- Part I: Results.- Introduction.- Geometric Action Functionals.- Existence of Minimum Action Curves.- Properties of Minimum Action Curves.- Conclusions.- Some Proofs and Remarks.- Part II: Proofs.- Finding Points with Local Minimizers.- Proof of Lemma 6.1.- Part III: Proof of a Technical Lemma.- Proof of Lemma 6.15: Main Arguments.- Proof of Lemma 6.15: Some Technical Details.- Glossary.- Index.- References.

A General Theory of Entropy: Fuzzy Rational Foundations of Information-Knowledge Certainty

Автор: Dompere Kofi Kissi
Название: A General Theory of Entropy: Fuzzy Rational Foundations of Information-Knowledge Certainty
ISBN: 3030181588 ISBN-13(EAN): 9783030181581
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book presents an epistemic framework for dealing with information-knowledge and certainty-uncertainty problems within the space of quality-quantity dualities. It bridges between theoretical concepts of entropy and entropy measurements, proposing the concept and measurement of fuzzy-stochastic entropy that is applicable to all areas of knowing under human cognitive limitations over the epistemological space. The book builds on two previous monographs by the same author concerning theories of info-statics and info-dynamics, to deal with identification and transformation problems respectively. The theoretical framework is developed by using the toolboxes such as those of the principle of opposites, systems of actual-potential polarities and negative-positive dualities, under different cost-benefit time-structures. The category theory and the fuzzy paradigm of thought, under methodological constructionism-reductionism duality, are used in the fuzzy-stochastic and cost-benefit spaces to point to directions of global application in knowing, knowledge and decision-choice actions. Thus, the book is concerned with a general theory of entropy, showing how the fuzzy paradigm of thought is developed to deal with the problems of qualitative-quantitative uncertainties over the fuzzy-stochastic space, which will be applicable to conditions of soft-hard data, fact, evidence and knowledge over the spaces of problem-solution dualities, decision-choice actions in sciences, non-sciences, engineering and planning sciences to abstract acceptable information-knowledge elements.

Information, Inference and Decision

Автор: G. Menges
Название: Information, Inference and Decision
ISBN: 9027704236 ISBN-13(EAN): 9789027704238
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Under the title `Information, Inference and Decision` this volume in the Theory and Decision Library presents some papers on issues from the borderland of statistical inference philosophy and epistemology, written by statisticians and decision theorists who belonged or are allied to the former Saarbriicken school of statistical decision theory.

Statistical Foundations, Reasoning and Inference: For Science and Data Science

Автор: Kauermann Gцran, Kьchenhoff Helmut, Heumann Christian
Название: Statistical Foundations, Reasoning and Inference: For Science and Data Science
ISBN: 3030698262 ISBN-13(EAN): 9783030698263
Издательство: Springer
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Цена: 11179.00 р.
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Описание: This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science.

A General Theory of Entropy: Fuzzy Rational Foundations of Information-Knowledge Certainty

Автор: Dompere Kofi Kissi
Название: A General Theory of Entropy: Fuzzy Rational Foundations of Information-Knowledge Certainty
ISBN: 3030181618 ISBN-13(EAN): 9783030181611
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The relational structure between the general information definition and entropy.- Some reflections on the concept and measurement of entropy in info-knowledge.- The principle of opposites, epistemological.- Information measurement and entropy in information-knowledge certainty.- Fuzzy-paradigmatic reflections on possibility.- The fuzzy-stochastic entropy and the concept of a hybrid measures of uncertainty.- Comparative analytics: fuzzy-stochastic and non-fuzzy stochastic entropies.- Some simple epistemic reflections on information, knowledge and entropy.

Theory of Statistical Inference and Information

Автор: Igor Vajda
Название: Theory of Statistical Inference and Information
ISBN: 9027727813 ISBN-13(EAN): 9789027727817
Издательство: Springer
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Цена: 56042.00 р.
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On Science, Inference, Information and Decision-Making

Автор: A. Chmielewski; A. Szaniawski; Jan Wolenski
Название: On Science, Inference, Information and Decision-Making
ISBN: 9401062137 ISBN-13(EAN): 9789401062138
Издательство: Springer
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Цена: 13974.00 р.
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Advances in info-metrics

Автор: Min Chen
Название: Advances in info-metrics
ISBN: 0190636688 ISBN-13(EAN): 9780190636685
Издательство: Oxford Academ
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Цена: 16236.00 р.
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Описание: Advances in Info-Metrics expands the study of info-metrics - a framework for modeling, reasoning, and drawing inferences under conditions of insufficient information - across disciplines. This volume explores the mathematical and philosophical foundations of information-theoretic inference and demonstrates how to solve problems using new cross-disciplinary case studies and examples.

Mathematical Foundations of Data Science Using R

Автор: Matthias Dehmer, Salissou Moutari, Frank Emmert-Streib
Название: Mathematical Foundations of Data Science Using R
ISBN: 311056467X ISBN-13(EAN): 9783110564679
Издательство: Walter de Gruyter
Цена: 9288.00 р.
Наличие на складе: Нет в наличии.

Описание:

In order best exploit the incredible quantities of data being generated in most diverse disciplines data sciences increasingly gain worldwide importance. The book gives the mathematical foundations to handle data properly. It introduces basics and functionalities of the R programming language which has become the indispensable tool for data sciences. Thus it delivers the reader the skills needed to build own tool kits of a modern data scientist.


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