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Literature / Source Database:
Journal of the Royal Statistical Society, Series C, Applied statistics
Description
Published on behalf of the Royal Statistical Society
| Title (short) |
J. R. Sta. Soc., Ser. C |
| CODEN |
APSTA |
| Languages |
English |
| First year |
1964 |
| Impact factor |
0.645 |
| Editor |
S. G. Gilmour and C. J. Skinner |
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Status
active
Indexing
ABI - INFORM; British & Irish Archaeological Bibliography; Current Contents®/Physical Chemical and Earth Sciences (Thomson ISI); Current Index to Statistics; Current Mathematical Publications;
Ecology Abstracts; Environmental Sciences and Pollution Management; GeoRef; Inspec; International Bibliography of the Social Sciences;
International Political Science Abstracts; Journal Citation Reports/Science Edition (Thomson ISI); Market Research Abstracts; Mathematical Reviews; MathSciNet; Nutrition Abstracts and Reviews; Operations Research - Management Science; Periodicals Index Online; Quality Control and Applied Statistics; RAPRA Abstracts;
Risk Abstracts; Russian Academy of Sciences Bibliographies; Science Citation Index® (Thomson ISI); SciSearch® (Thomson ISI); SCOPUS;
Speleological Abstracts; Zentralblatt MATH
Predecessor
Subject
Source type
Journal
Publisher
ISBN ISSN
0035-9254
Homepage
| Resources |
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Availability |
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| Text PDF |
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free access |
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| Text Html |
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for subscriber |
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| References |
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not available |
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| Abstracts |
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| TOC |
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Source type
Journal
Publisher
ISBN ISSN
0035-9254
E ISSN
1467-9876
First volume
46
Last volume
57+
Homepage
| Resources |
|
Availability |
|
|
|
|
|
| Text PDF |
|
free access |
|
| Text Html |
|
for subscriber |
|
| References |
|
not available |
|
| Abstracts |
|
|
|
| TOC |
|
|
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Description
The Journal of the Royal Statistical Society, Series C (Applied Statistics) is a journal of international repute for statisticians both inside and outside the academic world. The journal is concerned with papers which deal with novel solutions to real life statistical problems by adapting or developing methodology, or by demonstrating the proper application of new or existing statistical methods to them. At their heart therefore the papers in the journal are motivated by examples and statistical data of all kinds. The subject-matter covers the whole range of inter-disciplinary fields, e.g. applications in agriculture, genetics, industry, medicine and the physical sciences, and papers on design issues (e.g. in relation to experiments, surveys or observational studies). A deep understanding of statistical methodology is not necessary to appreciate the content. Although papers describing developments in statistical computing driven by practical examples are within its scope, the journal is not concerned with simply numerical illustrations or simulation studies. The emphasis of Series C is on case-studies of statistical analyses in practice.
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