ISSN: 0035-9254

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Journal of the Royal Statistical Society. Series C: Applied Statistics Q1 Unclaimed

Wiley-Blackwell Publishing Ltd United Kingdom

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Journal of the Royal Statistical Society. Series C: Applied Statistics is a journal indexed in SJR in Statistics and Probability and Statistics, Probability and Uncertainty with an H index of 78. It has a price of 2083 €. It has an SJR impact factor of 0,916 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 0,916.

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy: Open Choice

Type of publications:

Publication frecuency: -

Categories: Statistics and Probability (Q1) Statistics, Probability and Uncertainty (Q2)

Price

2083 €

Inmediate OA

NPD

Embargoed OA

0 €

Non OA

Metrics

Journal of the Royal Statistical Society. Series C: Applied Statistics

0,916

SJR Impact factor

78

H Index

84

Total Docs (Last Year)

201

Total Docs (3 years)

3463

Total Refs

406

Total Cites (3 years)

201

Citable Docs (3 years)

1.86

Cites/Doc (2 years)

41.23

Ref/Doc

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Aims and Scope

Best articles by citations

Disease resistance modelled as first-passage times of genetically dependent stochastic processes

Controlling processes in food technology by simplifying the canonical form of fitted response surfaces

Assessing interaction effects in linear measurement error models

Bayesian projection of the acquired immune deficiency syndrome epidemic

Analysis of the human sex ratio by using overdispersion models

Comparing accuracies of two screening tests in a two-phase study for dementia

Some Basic Principles of Sampling Inspection by Attributes

Spatial variation in risk of disease: a nonparametric binary regression approach

The Muscatine children's obesity data reanalysed using pattern mixture models

Algorithm AS 309: Estimation in Multivariate Log-normal Diffusion Processes with Exogenous Factors

Algorithm AS 310: Computing the Non-central Beta Distribution Function

Algorithm AS 311: The Exact Likelihood Function of a Vector Autoregressive Moving Average Model

SHOW MORE ARTICLES

Fitting Curves to Human Respiratory Data

Algorithm AS 312: An Algorithm for Simulating Stationary Gaussian Random Fields

Algorithm AS 313: An Algorithm for the Construction of Crossover Trials

Algorithm AS 314: Inversion of Matrices with Contents Subject to Modulo Arithmetic

Bayesian Retrospective Multiple-Changepoint Identification

Algorithm AS 315: An Algorithm for Sampling the Degrees of Freedom in Bayesian Analysis of Linear Regressions witht-distributed Errors

Scaling unobservable constructs in social science

Algorithm AS 316: A Robbins-Monro-based Sequential Procedure

Algorithm AS 317: Maximum Likelihood Estimation and Goodness-of-fit Tests for Mixtures of Distributions

Statistics for Exceptional Athletics Records

Algorithm AS 318: An Efficient Recursive Algorithm for Computing the Distribution Function and Non-centrality Parameter of the Non-centralF-distribution

Algorithm AS 319: Variable Metric Function Minimization