Overview
- Presents the latest advances in nonparametric and semiparametric statistics
- Addresses theory, methodology, applications, and computational aspects
- Includes contributions on nonparametric curve estimation and nonparametric and permutation solutions for several types of data
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 339)
Included in the following conference series:
Conference proceedings info: ISNPS 2018.
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Table of contents (48 papers)
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Front Matter
Other volumes
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Nonparametric Statistics
Keywords
- nonparametric statistics
- semiparametric statistics
- dependent data
- nonparametric curve estimation
- permutation and resampling techniques
- regression smoothing
- time series
- varying coefficient models
- symmetry testing
- rank-based methods for factorial design
- ordinal data
- spatial data
- survival data
- joint modeling of longitudinal and time-to-event data
- nonparametric inference
- nonparametric estimation
About this book
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.
Editors and Affiliations
About the editors
Michele La Rocca is a Full Professor of Statistics at the University of Salerno, Italy. He has published scientific papers on empirical likelihood, nonlinear time series and neural networks, resampling techniques, with applications to biological and financial data. He is an elected member of ISI and a former member of the Charting Committee of the International Society for Nonparametric Statistics.
Brunero Liseo has been a Full Professor of Statistics at the School of Economics, Sapienza University of Rome, Italy, since 2002. He has published more than 60 papers in international, peer-reviewed journals. His research interests include Bayesian inference, distribution theory, official statistics, and stochastic processes. He is the Director of the Ph.D. School of Economics, Sapienza, and a member of the Advisory Board of ISTAT, and of NADO Italia – the National Anti-Doping Organization, the Italian chapter of WADA.
Luigi Salmaso is a Full Professor of Statistics at the Department of Management and Engineering at the University of Padua, Italy. He is the author and creator of the NonParametric Combination Test software for multivariate and multistrata permutation tests. He has published more than 100 papers in international, peer-reviewed journals. His main research interests include nonparametric statistics, multivariate analysis, conjoint analysis, big data analytics, and biostatistics. He has received over 3000 citations and written a leading book on permutation testing. He is an Associate Editor for various international ISI journals.
Bibliographic Information
Book Title: Nonparametric Statistics
Book Subtitle: 4th ISNPS, Salerno, Italy, June 2018
Editors: Michele La Rocca, Brunero Liseo, Luigi Salmaso
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-030-57306-5
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-57305-8Published: 12 November 2020
Softcover ISBN: 978-3-030-57308-9Published: 12 November 2021
eBook ISBN: 978-3-030-57306-5Published: 11 November 2020
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: X, 547
Number of Illustrations: 43 b/w illustrations, 56 illustrations in colour
Topics: Statistical Theory and Methods, Statistics and Computing/Statistics Programs, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Statistics for Business, Management, Economics, Finance, Insurance, Statistics for Life Sciences, Medicine, Health Sciences