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Exact inference on scaling parameters in norm and antinorm contoured sample distributions
| Content Provider | Semantic Scholar |
|---|---|
| Author | Richter, Wolf-Dieter |
| Copyright Year | 2016 |
| Abstract | Exact distributions of generalized Chi-square and Fisher statistics are used to derive confidence intervals and significance tests for inferring on one or two scaling parameters, respectively, under non-standard assumptions w.r.t. the multivariate sample distribution. The latter may have convex or radially concave density level sets and heavy or light distribution centers and tails. Independent and ln,p-dependent sample variables are considered. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://jsdajournal.springeropen.com/track/pdf/10.1186/s40488-016-0046-z?site=jsdajournal.springeropen.com |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | CHI Concave function Confidence Intervals Fisher information Image scaling Inference Tail Tails Test scaling |
| Content Type | Text |
| Resource Type | Article |
