Probabilistic Benchmarking
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Probabilistic Benchmarking
Author: Andrew Banasiewicz
language: en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date: 2024-09-23
What is a ‘good’ outcome? In relation to others, and in relation to the past? Commonly associated with the ideas of benchmarking and baselining, comparative assessment is an important part of organizational management, but this broadly defined undertaking lacks clear conceptual framing and methodological foundations. At the same time, the readily available transactional data make robust tracking and measurement possible at an unprecedented scale, but also accentuate the impact of assessment paradox: To be truly meaningful, exact magnitudes-expressed values often need to be ‘translated’ into qualitative, assessment-laden categories, but that task is impeded by lack of established approaches for doing so. Inspired by these observations, Probabilistic Benchmarking frames the notions of benchmarking and baselining as two complementary but distinct mechanisms of comparative assessment that make use of informational contents of organizational data to contribute unbiased, systematic, and consistent evaluation of outcomes or states of interest. In that general context, this book provides much-needed conceptual and methodological clarity to guide construction and use of benchmarks and baselines, and re-casts the idea of assessment standards in the context of data-derived estimates, to better align the practice of comparative assessment with the emerging realities of the Age of Data. This pioneering research-based but application-minded book bridges the gap between theory and practice. It will greatly benefit professionals, business students and others interested in the broad domain of organizational assessment.
Advanced Mathematical And Computational Tools In Metrology And Testing Xi
Author: Alistair B Forbes
language: en
Publisher: World Scientific
Release Date: 2018-10-16
This volume contains original, refereed contributions by researchers from institutions and laboratories across the world that are involved in metrology and testing. They were adapted from presentations made at the eleventh edition of the Advanced Mathematical and Computational Tools in Metrology and Testing conference held at the University of Strathclyde, Glasgow, in September 2017, organized by IMEKO Technical Committee 21, the National Physical Laboratory, UK, and the University of Strathclyde. The papers present new modeling approaches, algorithms and computational methods for analyzing data from metrology systems and for evaluation of the measurement uncertainty, and describe their applications in a wide range of measurement areas.This volume is useful to all researchers, engineers and practitioners who need to characterize the capabilities of measurement systems and evaluate measurement data. Through the papers written by experts working in leading institutions, it covers the latest computational approaches and describes applications to current measurement challenges in engineering, environment and life sciences.
Ontologies and Concepts in Mind and Machine
This book constitutes the proceedings of the 25th International Conference on Conceptual Structures, ICCS 2020, held in Bolzano, Italy, in September 2020.* The 10 full papers, 5 short papers and 1 poster paper presented were carefully reviewed and selected from 24 submissions. The proceedings also include two keynotes and two tutorials. The papers focus on the representation of and reasoning with conceptual structures in a variety of contexts. The topics of this year's conference range from formal concept analysis to decision making, from machine learning to natural language processing. *The conference was held virtually due to the COVID-19 pandemic.