ENGLISH

Nonparametric Statistics: 4th ISNPS, Salerno, Italy, June 2018

Book information

Publisher
Springer International Publishing;Springer
Year
2020
ISBN
9783030573058, 9783030573065
DOI
10.1007/978-3-030-57306-5
Language
english
Format
PDF
Filesize
18 MB (19332748 bytes)
Series
Springer Proceedings in Mathematics & Statistics 339
Edition
1st ed.
Pages
X, 547\528
Time added
2021-01-06 05:41:07
St

Description

Highlighting the latest advances in nonparametric and semiparametric statistics, this book gathers selected peer-reviewed contributions presented at the 4th Conference of the International Society for Nonparametric Statistics (ISNPS), held in Salerno, Italy, on June 11-15, 2018. It covers theory, methodology, applications and computational aspects, addressing topics such as nonparametric curve estimation, regression smoothing, models for time series and more generally dependent data, varying coefficient models, symmetry testing, robust estimation, and rank-based methods for factorial design. It also discusses nonparametric and permutation solutions for several different types of data, including ordinal data, spatial data, survival data and the joint modeling of both longitudinal and time-to-event data, permutation and resampling techniques, and practical applications of nonparametric statistics. The International Society for Nonparametric Statistics is a unique global organization, and its international conferences are intended to foster the exchange of ideas and the latest advances and trends among researchers from around the world and to develop and disseminate nonparametric statistics knowledge. The ISNPS 2018 conference in Salerno was organized with the support of the American Statistical Association, the Institute of Mathematical Statistics, the Bernoulli Society for Mathematical Statistics and Probability, the Journal of Nonparametric Statistics and the University of Salerno.

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