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J. Robinson

4 papers hereh-index 213.1k citations83 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.ST4
same name
  • J. Robinson — 43 papers, h 30
  • J. Robinson — 39 papers, h 60
  • J. Robinson — 24 papers, h 18
  • J. Robinson — 15 papers, h 42
  • J. Robinson — 15 papers, h 9
  • J. Robinson — 12 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20072014
most citedCramér-type large deviations for samples from a finite population

8 citations · 18 across the 4 of their papers we have counts for

collaborators

4 papers

math.ST2014★ 3 cited

A new permutation test statistic for complete block designs

Inga Samonenko, John Robinson

We introduce a nonparametric test statistic for the permutation test in complete block designs. We find the region in which the statistic exists and consider particularly its prope…

math.ST2013★ 2 cited

Relative errors for bootstrap approximations of the serial correlation coefficient

Chris Field, John Robinson

We consider the first serial correlation coefficient under an AR(1) model where errors are not assumed to be Gaussian. In this case it is necessary to consider bootstrap approximat…

math.ST2012★ 5 cited

Saddlepoint approximations for likelihood ratio like statistics with applications to permutation tests

John Kolassa, John Robinson

We obtain two theorems extending the use of a saddlepoint approximation to multiparameter problems for likelihood ratio-like statistics which allow their use in permutation and ran…

math.ST2007★ 8 cited

Cramér-type large deviations for samples from a finite population

Zhishui Hu, John Robinson, Qiying Wang

Cramér-type large deviations for means of samples from a finite population are established under weak conditions. The results are comparable to results for the so-called self-norma…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.