Frontiers in Reliability
Frontiers in Reliability

Author: Asit P. Basu

Publisher: World Scientific

Published: 1998

Total Pages: 512

ISBN-13: 9789810233600

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This volume presents recent results in reliability theory by leading experts in the world. It will prove valuable for researchers, and users of reliability theory. It consists of refereed invited papers on a broad spectrum of topics in reliability. The subjects covered include Bayesian reliability, Bayesian reliability modeling, confounding in a series system, DF tests, Edgeworth approximation to reliability, estimation under random censoring, fault tree reduction for reliability, inference about changes in hazard rates, information theory and reliability, mixture experiment, mixture of Weibull distributions, queuing network approach in reliability theory, reliability estimation, reliability modeling, repairable systems, residual life function, software spare allocation systems, stochastic comparisons, stress-strength models, system-based component test plans, and TTT-transform.

Another Science is Possible
Another Science is Possible

Author: Isabelle Stengers

Publisher: John Wiley & Sons

Published: 2018-01-16

Total Pages: 220

ISBN-13: 1509521844

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Like fast food, fast science is quickly prepared, not particularly good, and it clogs up the system. Efforts to tackle our most pressing issues have been stymied by conflict within the scientific community and mixed messages symptomatic of a rushed approach. What is more, scientific research is being shaped by the bubbles and crashes associated with economic speculation and the market. A focus on conformism, competitiveness, opportunism and flexibility has made it extremely difficult to present cases of failure to the public, for fear that it will lose confidence in science altogether. In this bold new book, distinguished philosopher Isabelle Stengers shows that research is deeply intertwined with broader social interests, which means that science cannot race ahead in isolation but must learn instead to slow down. Stengers offers a path to an alternative science, arguing that researchers should stop seeing themselves as the 'thinking, rational brain of humanity' and refuse to allow their expertise to be used to shut down the concerns of the public, or to spread the belief that scientific progress is inevitable and will resolve all of society's problems. Rather, science must engage openly and honestly with an intelligent public and be clear about the kind of knowledge it is capable of producing. This timely and accessible book will be of great interest to students, scholars and policymakers in a wide range of fields, as well anyone concerned with the role of science and its future.

Reliability and Reproducibility in Functional Connectomics
Reliability and Reproducibility in Functional Connectomics

Author: Xi-Nian Zuo

Publisher:

Published: 2019

Total Pages: 0

ISBN-13:

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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.

Frontiers in Statistical Quality Control 13
Frontiers in Statistical Quality Control 13

Author: Sven Knoth

Publisher: Springer Nature

Published: 2021-05-15

Total Pages: 410

ISBN-13: 3030678563

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This contributed book focuses on major aspects of statistical quality control, shares insights into important new developments in the field, and adapts established statistical quality control methods for use in e.g. big data, network analysis and medical applications. The content is divided into two parts, the first of which mainly addresses statistical process control, also known as statistical process monitoring. In turn, the second part explores selected topics in statistical quality control, including measurement uncertainty analysis and data quality. The peer-reviewed contributions gathered here were originally presented at the 13th International Workshop on Intelligent Statistical Quality Control, ISQC 2019, held in Hong Kong on August 12-14, 2019. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of statistical quality control.

Statistical Inference as Severe Testing
Statistical Inference as Severe Testing

Author: Deborah G. Mayo

Publisher: Cambridge University Press

Published: 2018-09-20

Total Pages: 503

ISBN-13: 1108563309

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Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.