Biometrika Centenary: Nonparametrics

成果类型:
Review
署名作者:
Hall, P
署名单位:
Australian National University
刊物名称:
BIOMETRIKA
ISSN/ISSBN:
0006-3444
DOI:
10.1093/biomet/88.1.143
发表日期:
2001
页码:
143165
关键词:
bivariate survival function kernel density-estimation maximum-likelihood estimator interval censored-data Empirical Likelihood confidence-intervals Cross-validation variance-estimation monte-carlo bandwidth selection
摘要:
Contributions in Biometrika to nonparametric statistics are surveyed, with particular emphasis on more recent work. It is argued that even in the journal's very early years it had interests in smoothing methods for density estimation, and in techniques for nonparametric regression, in addition to its more obvious focus on 'classical' nonparametric statistics such as ranking methods. Biometrika's early involvement with permutation testing has links to its contemporary work on bootstrap methods. Emphases on different types of nonparametric statistics have evolved over time, however. A rapidly increasing proportion of the journal's pages is devoted to papers that include some use of nonparametric ideas or methods.