
Accession Number : ADA184495
Title : Kinds of Bootstraps and Kinds of Jackknives, Discussed in Terms of a Year of WeatherRelated Data.
Descriptive Note : Technical rept.,
Corporate Author : PRINCETON UNIV NJ DEPT OF STATISTICS
Personal Author(s) : Tukey,John W
PDF Url : ADA184495
Report Date : Apr 1987
Pagination or Media Count : 60
Abstract : Resampling methods   are in the process of becoming popular ways of assessing the standard error appropriate to some number chosen to distill, perhaps in a rather complex way, from data. An everpresent danger is that resampling will come to be thought of as a cureall. The most that can reasonably be hoped for is that questions that do not arise in connection with the simplest distillates   arithmetic means of samples   need not be considered in connection with resampling applied to the results of more complicated calculations. This means that, in particular, (a) needs for the use of robust/resistant techniques in the distillation process, and (b) needs to consider the question of the proper error term are in no way automatically addressed by the use of jackknife or bootstrap. Robust/resistant techniques, if required, must be built into calculation of the final distillate from the observations, before that distillate is jackknifed or bootstrapped. A year of weatherrelated data offers a good platform for careful discussion.
Descriptors : *PROBABILITY, *MATHEMATICAL PREDICTION, *MATHEMATICAL MODELS, PARAMETERS, ANALYSIS OF VARIANCE, SAMPLING, METEOROLOGICAL DATA, WEATHER FORECASTING, METEOROLOGICAL PHENOMENA, PATTERNS, PERIODIC VARIATIONS, ERROR ANALYSIS
Subject Categories : Statistics and Probability
Meteorology
Distribution Statement : APPROVED FOR PUBLIC RELEASE