Skip navigation
Please use this identifier to cite or link to this item:
Title: Some advances in constrained inference for ordered circular parameters in oscillatory systems
Authors: Rueda, Cristina
Fernández, Miguel
Barragán, Sandra
Peddada, Shyamal
Issue Date: 2015
Publisher: Wiley
Citation: Dryden, Kent (coords). Geometry Driven Statistics. Wiley 2015, p. 97-114.
Abstract: Constraints on parameters arise naturally in many applications. Statistical methods that honor the underlying constraints tend to be more powerful and result in better interpretation of the underlying scientific data. In the context of Euclidean space data, there exists over five decades of statistical literature on constrained statistical inference and at least four books on the subject (e.g. Robertson et al. 1988; Silvapulle and Sen 2005). However, it was not until recently that these methods have been used extensively in applied research. For example, constrained statistical inference is gaining considerable interest among applied researchers in a variety of fields, such as, for example, toxicology (Peddada et al. 2007), genomics (Hoenerhoff et al. 2013; Perdivara et al. 2011; Peddada et al. 2003), epidemiology (Cao et al. 2011; Peddada et al. 2005), clinical trials (Conaway et al. 2004), or cancer trials (Conde et al. 2012, 2013).
Sponsor: Ministerio de Ciencia e Innovación grant (MTM2012-37129)
Junta de Castilla y León, Consejería de Educación and the European Social Fund
Intramural Research Program of the National Institute of Environmental Health Sciences (NIEHS) [Z01 ES101744-04]
Publisher Version:
Rights Owner: Wiley
Language: eng
Rights: info:eu-repo/semantics/openAccess
Appears in Collections:DEP24 - Capítulos de monografías

Files in This Item:
File Description SizeFormat 
Chapter for Mardia's book Rueda et al.pdf294,99 kBAdobe PDFThumbnail

This item is licensed under a Creative Commons License Creative Commons

University of Valladolid
Powered by MIT's. DSpace software, Version 5.5