Open access peer-reviewed Edited Volume

Confidence Regions - Applications, Tools and Challenges of Estimation

Jan Peter Hessling

Kapernicus AB


Bayesian Estimation Monte Carlo Simulations Complex Computations Finite Element Methods Computational Fluid Dynamics Cross-Sectional Studies Meta-Study Software Tools Numerical Methods Coverage vs. Confidence Dependency ANOVA

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About the book

Confidence regions is one of the most frequently used statistical measures, due to their simple interpretation. Built on the concept of probability of success for repeated testing, they seem natural in many contexts in medicine, natural and social sciences, as well as technology, despite that single testing prevails. Nevertheless, estimation of confidence or coverage is non-trivial as it relates to ordering of outcomes, rather than statistical expectations, which are more regular and well-behaved. Indeed, confidence boundaries are often hypothetically related to expectations by assumed coverage factors. Truthful assessment of confidence regions based on ordering rather than expectations and assumptions, however, is especially challenging for multi-modal and multi-variate distributions reflecting strong non-uniformity of samples and parametric dependency. The achieved level of confidence may have a potentially large impact on society at large, especially in the fields of medicine, safety, and election polling where the notion of confidence regions is the standard behind the apparently contradictory formulation of statistical certainty. Disputable credibility of presented confidence or coverage levels may have unprecedented consequences, most recently actualized in the quest for credible long term predictions of the COVID-19 pandemic.

Publishing process

Book initiated and editor appointed

Date completed: June 23rd 2020

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline for chapter proposals: July 14th 2020

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

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Approved chapters written in full and submitted

Deadline for full chapters: September 12th 2020

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: December 1st 2020

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: January 30th 2021

All chapters are copy-checked and typesetted before being published. IntechOpen regularly submits its books to major databases for evaluation and coverage, including the Clarivate Analytics Book Citation Index in the Web of ScienceTM Core Collection. Other discipline-specific databases are also targeted, such as Web of Science's BIOSIS Previews.

About the editor

Jan Peter Hessling

Kapernicus AB

Jan Peter Hessling earned his Ph.D. degree in theoretical physics from Chalmers University of Technology, Gothenburg, Sweden, 1996, and his MSc degree in physics from the University of Massachusetts, USA, 1991. Since then, he has been devoted to novel mathematical concepts, focusing on modeling uncertainty and dynamic analysis. Peter is the original proposer of Deterministic Sampling for uncertainty quantification and model calibration, sometimes utilized in novel applications of custom digital filtering for statistical signal processing, such as road quality assessment. Since 2016, his concepts are further developed in the privately held company Kapernicus AB, dedicated to applied mathematical R&D, with services offered worldwide.

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Book chapters authored 4

Books edited 2

Introducing your Author Service Manager

Mrs. Mia Vulovic

r. Hülya Şenol graduated from the Biology Department, Atatürk Education Faculty at Marmara University, Turkey in 1991. She has completed two master degrees, one in the field of Educational Sciences, Eastern Mediterranean University, Cyprus and one in Molecular Medicine, Near East University, Cyprus. Dr. Şenol holds a Ph.D. degree in Educational Administration, Management, Inspection, and Economy. She is a multidisciplinary researcher and has 28 years of teaching experience. From 1991 to 2011, she worked at many colleges in Turkey and in North Cyprus as an instructor, ISO 9001 committee member, and deputy principal. Dr. Şenol is a senior instructor in the Faculty of Arts and Sciences at Eastern Mediterranean University. She has earned many certificates about the education of trainers in Montessori education, educational sciences, and molecular medicine. Her current research interest areas are Educational Leadership, School Culture, Total Quality Management in Education, Service Quality in Education.

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