ISSN: 0964-1998

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Journal of the Royal Statistical Society. Series A, (Statistics in Society) Q1 Unclaimed

Oxford University Press United Kingdom

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Journal of the Royal Statistical Society. Series A, (Statistics in Society) is a journal indexed in SJR in Economics and Econometrics and Statistics and Probability with an H index of 94. It has a price of 2100 €. It has an SJR impact factor of 0,775 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 0,775.

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy: Open Choice

Type of publications:

Publication frecuency: -

Categories: Social Sciences (miscellaneous) (Q1) Economics and Econometrics (Q2) Statistics and Probability (Q2) Statistics, Probability and Uncertainty (Q2)

Price

2100 €

Inmediate OA

NPD

Embargoed OA

0 €

Non OA

Metrics

Journal of the Royal Statistical Society. Series A, (Statistics in Society)

0,775

SJR Impact factor

94

H Index

53

Total Docs (Last Year)

334

Total Docs (3 years)

1366

Total Refs

515

Total Cites (3 years)

306

Citable Docs (3 years)

1.2

Cites/Doc (2 years)

25.77

Ref/Doc

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Aims and Scope

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The Measurement of Occupational Gender Segregation

What works?: selectivity models and meta-analysis

Editorial: The growing demands on the European statistical system

Examining Associations between Occupation and Health by using Routinely Collected Data

The social class of Catholics in Scotland

Bayesian Analysis of DNA Profiling Data in Forensic Identification Applications

Editorial: The Measurement of Unemployment in the UK: the Position at June 1997

A comparison of population average and random-effect models for the analysis of longitudinal count data with base-line information

Bayesian analysis of mortality data

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An ecological investigation of the incidence of cancer in Welsh children for the period 1985-1994 in relation to residence near the coastline

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Theoretical and practical issues in purchasing power parities illustrated with reference to the 1993 Organization for Economic Co-operation and Development data

Comments on the papers by Clayton and Rasbash, and O'Muircheartaigh and Campanelli

Number needed to treat: properties and problems

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Why use arbitrary points scores?: ordered categories in models of educational progress