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Author: Theodore Chadjipadelis
Publisher: Springer Nature
ISBN: 3030601048
Category : Mathematics
Languages : en
Pages : 349
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Book Description
This volume presents the latest advances in statistics and data science, including theoretical, methodological and computational developments and practical applications related to classification and clustering, data gathering, exploratory and multivariate data analysis, statistical modeling, and knowledge discovery and seeking. It includes contributions on analyzing and interpreting large, complex and aggregated datasets, and highlights numerous applications in economics, finance, computer science, political science and education. It gathers a selection of peer-reviewed contributions presented at the 16th Conference of the International Federation of Classification Societies (IFCS 2019), which was organized by the Greek Society of Data Analysis and held in Thessaloniki, Greece, on August 26-29, 2019.
Author: Theodore Chadjipadelis
Publisher: Springer Nature
ISBN: 3030601048
Category : Mathematics
Languages : en
Pages : 349
Get Book Here
Book Description
This volume presents the latest advances in statistics and data science, including theoretical, methodological and computational developments and practical applications related to classification and clustering, data gathering, exploratory and multivariate data analysis, statistical modeling, and knowledge discovery and seeking. It includes contributions on analyzing and interpreting large, complex and aggregated datasets, and highlights numerous applications in economics, finance, computer science, political science and education. It gathers a selection of peer-reviewed contributions presented at the 16th Conference of the International Federation of Classification Societies (IFCS 2019), which was organized by the Greek Society of Data Analysis and held in Thessaloniki, Greece, on August 26-29, 2019.
Author: Theodore Chadjipadelis
Publisher:
ISBN: 9783030601058
Category :
Languages : en
Pages : 0
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Book Description
This volume presents the latest advances in statistics and data science, including theoretical, methodological and computational developments and practical applications related to classification and clustering, data gathering, exploratory and multivariate data analysis, statistical modeling, and knowledge discovery and seeking. It includes contributions on analyzing and interpreting large, complex and aggregated datasets, and highlights numerous applications in economics, finance, computer science, political science and education. It gathers a selection of peer-reviewed contributions presented at the 16th Conference of the International Federation of Classification Societies (IFCS 2019), which was organized by the Greek Society of Data Analysis and held in Thessaloniki, Greece, on August 26-29, 2019.
Author: Harjit Singh
Publisher: FT Press
ISBN: 0134190491
Category : Business & Economics
Languages : en
Pages : 412
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Book Description
To manage projects, you must not only control schedules and costs: you must also manage growing operational uncertainty. Today’s powerful analytics tools and methods can help you do all of this far more successfully. In Project Management Analytics, Harjit Singh shows how to bring greater evidence-based clarity and rationality to all your key decisions throughout the full project lifecycle. Singh identifies the components and characteristics of a good project decision and shows how to improve decisions by using predictive, prescriptive, statistical, and other methods. You’ll learn how to mitigate risks by identifying meaningful historical patterns and trends; optimize allocation and use of scarce resources within project constraints; automate data-driven decision-making processes based on huge data sets; and effectively handle multiple interrelated decision criteria. Singh also helps you integrate analytics into the project management methods you already use, combining today’s best analytical techniques with proven approaches such as PMI PMBOK® and Lean Six Sigma. Project managers can no longer rely on vague impressions or seat-of-the-pants intuition. Fortunately, you don’t have to. With Project Management Analytics, you can use facts, evidence, and knowledge—and get far better results. Achieve efficient, reliable, consistent, and fact-based project decision-making Systematically bring data and objective analysis to key project decisions Avoid “garbage in, garbage out” Properly collect, store, analyze, and interpret your project-related data Optimize multi-criteria decisions in large group environments Use the Analytic Hierarchy Process (AHP) to improve complex real-world decisions Streamline projects the way you streamline other business processes Leverage data-driven Lean Six Sigma to manage projects more effectively
Author: Kurt Weyland
Publisher: Princeton University Press
ISBN: 1400828066
Category : Political Science
Languages : en
Pages : 313
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Book Description
Why do very different countries often emulate the same policy model? Two years after Ronald Reagan's income-tax simplification of 1986, Brazil adopted a similar reform even though it threatened to exacerbate income disparity and jeopardize state revenues. And Chile's pension privatization of the early 1980s has spread throughout Latin America and beyond even though many poor countries that have privatized their social security systems, including Bolivia and El Salvador, lack some of the preconditions necessary to do so successfully. In a major step beyond conventional rational-choice accounts of policy decision-making, this book demonstrates that bounded--not full--rationality drives the spread of innovations across countries. When seeking solutions to domestic problems, decision-makers often consider foreign models, sometimes promoted by development institutions like the World Bank. But, as Kurt Weyland argues, policymakers apply inferential shortcuts at the risk of distortions and biases. Through an in-depth analysis of pension and health reform in Bolivia, Brazil, Costa Rica, El Salvador, and Peru, Weyland demonstrates that decision-makers are captivated by neat, bold, cognitively available models. And rather than thoroughly assessing the costs and benefits of external models, they draw excessively firm conclusions from limited data and overextrapolate from spurts of success or failure. Indications of initial success can thus trigger an upsurge of policy diffusion.
Author: Reid Hastie
Publisher: SAGE
ISBN: 1412959039
Category : Business & Economics
Languages : en
Pages : 393
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Book Description
In the Second Edition of Rational Choice in an Uncertain World the authors compare the basic principles of rationality with actual behaviour in making decisions. They describe theories and research findings from the field of judgment and decision making in a non-technical manner, using anecdotes as a teaching device. Intended as an introductory textbook for advanced undergraduate and graduate students, the material not only is of scholarly interest but is practical as well. The Second Edition includes: - more coverage on the role of emotions, happiness, and general well-being in decisions - a summary of the new research on the neuroscience of decision processes - more discussion of the adaptive value of (non-rational heuristics) - expansion of the graphics for decision trees, probability trees, and Venn diagrams.
Author: Michael Milton
Publisher: "O'Reilly Media, Inc."
ISBN: 0596153937
Category : Business & Economics
Languages : en
Pages : 486
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Book Description
A guide for data managers and analyzers. It shares guidelines for identifying patterns, predicting future outcomes, and presenting findings to others.
Author: Michael Nicholson
Publisher: Cambridge University Press
ISBN: 9780521398107
Category : History
Languages : en
Pages : 284
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Book Description
This book covers the problems of rational decision-making in conflict situations.
Author: Paul Cairney
Publisher: Cambridge University Press
ISBN: 1108645577
Category : Political Science
Languages : en
Pages : 149
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Book Description
This provocative Element is on the 'state of the art' of theories that highlight policymaking complexity. It explains complexity in a way that is simple enough to understand and use. The primary audience is policy scholars seeking a single authoritative guide to studies of 'multi-centric policymaking'. It synthesises this literature to build a research agenda on the following questions: 1. How can we best explain the ways in which many policymaking 'centres' interact to produce policy? 2. How should we research multi-centric policymaking? 3. How can we hold policymakers to account in a multi-centric system? 4. How can people engage effectively to influence policy in a multi-centric system? However, by focusing on simple exposition and limiting jargon, Paul Cairney, Tanya Heikkila, Matthew Wood also speak to a far wider audience of practitioners, students, and new researchers seeking a straightforward introduction to policy theory and its practical lessons.
Author: Dongyuan Yang
Publisher: Springer Nature
ISBN: 9811933383
Category : Science
Languages : en
Pages : 349
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Book Description
This book chiefly focuses on urban traffic, an area supported by massive amounts of data. The application of big data to urban traffic provides strategic and technical methods for the multi-directional and in-depth observation of complex adaptive systems, thus transforming conventional urban traffic planning and management methods. Sharing valuable insights into how big data can be applied to urban traffic, it offers a valuable asset for information technicians, traffic engineers and traffic data analysts alike.
Author: Paula Brito
Publisher: Springer Nature
ISBN: 3031090349
Category : Computers
Languages : en
Pages : 393
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Book Description
The contributions gathered in this open access book focus on modern methods for data science and classification and present a series of real-world applications. Numerous research topics are covered, ranging from statistical inference and modeling to clustering and dimension reduction, from functional data analysis to time series analysis, and network analysis. The applications reflect new analyses in a variety of fields, including medicine, marketing, genetics, engineering, and education. The book comprises selected and peer-reviewed papers presented at the 17th Conference of the International Federation of Classification Societies (IFCS 2022), held in Porto, Portugal, July 19–23, 2022. The IFCS federates the classification societies and the IFCS biennial conference brings together researchers and stakeholders in the areas of Data Science, Classification, and Machine Learning. It provides a forum for presenting high-quality theoretical and applied works, and promoting and fostering interdisciplinary research and international cooperation. The intended audience is researchers and practitioners who seek the latest developments and applications in the field of data science and classification.
