Communication in Statistics- Theory and Methods (COMMUN STAT-THEOR M)

Publisher: Taylor & Francis

Journal description

The Theory and Methods series intends to publish papers that make theoretical and methodological advances in Probability and Statistics. New applications of statistical and probabilistic methods will also be considered for publication. In addition, special issues dedicated to a specific topic of current interest will also be published in this series periodically, providing an exhaustive and up-to-date review of that topic to the readership.

Current impact factor: 0.27

Impact Factor Rankings

2016 Impact Factor Available summer 2017
2014 / 2015 Impact Factor 0.274
2013 Impact Factor 0.284
2012 Impact Factor 0.298
2011 Impact Factor 0.274
2010 Impact Factor 0.351
2009 Impact Factor 0.406
2008 Impact Factor 0.324
2007 Impact Factor 0.24
2006 Impact Factor 0.234
2005 Impact Factor 0.209
2004 Impact Factor 0.186
2003 Impact Factor 0.192
2002 Impact Factor 0.171
2001 Impact Factor 0.157
2000 Impact Factor 0.193
1999 Impact Factor 0.209
1998 Impact Factor 0.172
1997 Impact Factor 0.194

Impact factor over time

Impact factor
Year

Additional details

5-year impact 0.39
Cited half-life >10.0
Immediacy index 0.05
Eigenfactor 0.01
Article influence 0.23
Website Communications in Statistics - Theory and Methods website
Other titles Communications in statistics, theory and methods (Online), Communications in statistics, theory and methods, Theory and methods
ISSN 0361-0926
OCLC 48483352
Material type Document, Periodical, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details

Taylor & Francis

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Some individual journals may have policies prohibiting pre-print archiving
    • On author's personal website or departmental website immediately
    • On institutional repository or subject-based repository after either 12 months embargo
    • Publisher's version/PDF cannot be used
    • On a non-profit server
    • Published source must be acknowledged
    • Must link to publisher version
    • Set statements to accompany deposits (see policy)
    • The publisher will deposit in on behalf of authors to a designated institutional repository including PubMed Central, where a deposit agreement exists with the repository
    • STM: Science, Technology and Medicine
    • Publisher last contacted on 25/03/2014
    • This policy is an exception to the default policies of 'Taylor & Francis'
  • Classification
    green

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: In design of control charts, it is usually assumed that process parameters are known. However, in many practical applications the values of these parameters are unknown and should be estimated using historical in-control process observations. In this study, the performance of adaptive c-chart with estimated parameter is evaluated. It is demonstrated that by increasing the size and the number of samples in estimating the process parameter, the performance of the chart converges to that of known parameter case. Finally the best phase I sampling scenarios are presented to make the chart with estimated parameter perform as well as the chart with known parameter.
    No preview · Article · Feb 2016 · Communication in Statistics- Theory and Methods
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    ABSTRACT: The purpose of mixture experiments is to explore the optimum blends of mixture components, which will provide desirable response characteristics in finished products. D-optimal minimal designs have been considered for a variety of mixture models, including Scheffé's linear, quadratic, and cubic models. Usually, these D-optimal designs are minimally supported since they have just as many design points as the number of parameters. Thus, they lack the degrees of freedom to perform the Lack of Fit tests. Also, the majority of the design points in D-optimal minimal designs are on the boundary: vertices, edges, or faces of the design simplex.In this paper, extensions of the D-optimal minimal designs are developed for a general mixture model to allow additional interior points in the design space to enable prediction of the entire response surface. Also a new strategy for adding multiple interior points for symmetric mixture models is proposed. We compare the proposed designs with Cornell (19868. Cornell, J. A., (1986). A comparison between two ten-point designs for studying three-component mixture systems. Journal of Quality Technology, Vol.18(1):1–15.View all references) two ten-point designs for the Lack of Fit test by simulations.
    No preview · Article · Feb 2016 · Communication in Statistics- Theory and Methods
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    ABSTRACT: Second-order regular variation (2RV) is a refinement of the concept of regular variation which appears in a natural way in applied probability, statistics, risk management, telecommunication networks, and other fields. Let X1, …, Xn be independent and nonnegative random variables with respective survival functions , and assume that is of 2RV with the first-order parameter −α and the second-order parameter ρi for each i and that all the are tail-equivalent. It is shown, in this paper, that the survival function of the sum ∑ni = 1Xi is also of 2RV. The main result is applied to establish the 2RV closure property for the randomly weighted sum ∑ni = 1ΘiXi, where the weights Θ1, …, Θn are independent and nonnegative random variables, independent of X1, …, Xn, and satisfying certain moment conditions.
    No preview · Article · Feb 2016 · Communication in Statistics- Theory and Methods
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    ABSTRACT: This short paper proves inequalities that restrict the magnitudes of the partial correlations in star-shaped structures in Gaussian graphical models. These inequalities have to be satisfied by distributions that are used for generating simulated data to test structure-learning algorithms, but methods that have been used to create such distributions do not always ensure that they are. The inequalities are also noteworthy because stars are common and meaningful in real-world networks.
    No preview · Article · Feb 2016 · Communication in Statistics- Theory and Methods
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    ABSTRACT: We propose a structural change test based on the recursive residuals with the local Fourier series estimators. The statistical properties of the proposed test are derived and the empirical properties are shown via simulation. We also consider other structural change tests based on CUSUM, MOSUM, moving estimates (ME) and empirical distribution functions with the recursive residuals and the ordinary residuals. Empirical powers are calculated in various structural change models for the comparison of those tests. These structural change tests are applied to South Korea's GDP, South Korean Won to US Dollar currency exchange rates and South Korea's Okun's law.
    No preview · Article · Feb 2016 · Communication in Statistics- Theory and Methods
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    ABSTRACT: Recently many researchers have devoted to the investigation on the number of replicates needed for experiments in blocks of size two. In practice, nevertheless, experiments in blocks of size four might be more useful than those in blocks of size two. To estimate main effects and two-factor interactions from a two-level factorial experiment in blocks, we might need many replicates. This article investigates designs with the least number of replicates for factorial experiments in blocks of size four. The methods to obtain such designs are presented.
    No preview · Article · Feb 2016 · Communication in Statistics- Theory and Methods
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    ABSTRACT: We give conditions on a ≥ −1, b ∈ ( − ∞, ∞) and f and g so that Ca, b(x, y) = xy(1 + af(x)g(y))b is a bivariate copula. Many well known copulas are of this form, including the Ali-Mikhail-Haq family, the Huang-Kotz family, Bairamov-Kotz family and the Bekrizadeh-Parham-Zadkarmi family. One result is that we produce an algorithm for producing such copulas. Another is a one-parameter family of copulas whose measures of concordance range from 0 to 1.
    No preview · Article · Feb 2016 · Communication in Statistics- Theory and Methods
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    ABSTRACT: The clinical trials are usually designed with the implicit assumption that data analysis will occur only after the trial is completed. It is a challenging problem if the sponsor wishes to evaluate the drug efficacy in the middle of the study without breaking the randomization codes. In this article, the randomized response model and mixture model are introduced to analyze the data, masking the randomization codes of the crossover design. Given the probability of treatment sequence, the test of mixture model provides higher power than the test of randomized response model, which is inadequate in the example. The paired t-test has higher powers than both models if the randomization codes are broken. The sponsor may stop the trial early to claim the effectiveness of the study drug if the mixture model concludes a positive result.
    No preview · Article · Feb 2016 · Communication in Statistics- Theory and Methods
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    ABSTRACT: In this paper, we introduce a new form of distribution whose components have the Poisson or Skellam marginal distributions. This new specification allows the incorporation of relevant information on the nature of the correlations between every component. In addition, we present some properties of this distribution. Unlike the multivariate Poisson distribution, it can handle variables with positive and negative correlations. It should be noted that we are only interested in modelling covariances of order 2, that means between all pairs of variables. Some simulations are presented to illustrate the estimation methods. Finally, an application of soccer teams data will highlight the relationship between number of points per season and the goal differential by some covariates.
    No preview · Article · Feb 2016 · Communication in Statistics- Theory and Methods
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    ABSTRACT: In this paper exponential distribution, two-parameter Weibull distribution, log-logistic distribution, log-log-logistic distribution and Lomax distribution are characterized through selected functions of reliability theory: failure rate, aging intensity function and log-odds rate.
    No preview · Article · Feb 2016 · Communication in Statistics- Theory and Methods
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    ABSTRACT: This paper considers the statistical analysis for competing risks model under Type-I progressively hybrid censoring from Weibull distribution. We derive the maximum likelihood estimates (MLEs) and the approximate maximum likelihood estimates (AMLEs) of the unknown parameters. We then use bootstrap method to construct the confidence intervals. Based on the non-informative prior, a sampling algorithm using acceptance- rejection sampling method is presented to obtain Bayes estimates and Monte Carlo (MC) method is employed to construct the highest posterior density (HPD) credible intervals. The simulation results are provided to show the effectiveness of all the methods discussed here and one data set is analyzed.
    No preview · Article · Feb 2016 · Communication in Statistics- Theory and Methods
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    ABSTRACT: A case-cohort design was proposed by Prentice (1986)24. Prentice, R. L. (1986). A case-cohort design for epidemiologic cohort studies and disease prevention trials. Biometrika, 73:1–11.View all references in order to reduce costs. This case-cohort design has been extensively studied, but is exclusively considered for right censored data. In this paper, we propose case-cohort designs adapted to length-biased data under the proportional hazards assumption. A pseudo likelihood procedure is described for estimating parameters and the corresponding cumulative hazard function. The large sample properties, such as consistency and weak convergence, for such pseudo likelihood estimators are presented. We also conduct simulation studies to show that the proposed estimators are appropriate for practical use. A real Oscar Awards data is provided.
    No preview · Article · Feb 2016 · Communication in Statistics- Theory and Methods
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    ABSTRACT: In the stress-strength models, analysis is based on the reliability of the system where the system is either in operational state or in failure state. Eryılmaz (2011)7. Eryılmaz, S. (2011). A new perspective to stress–strength models. Ann. Inst. Statist. Math., 63(1):101–115.View all references introduced the stress-strength reliability in a different framework assigning more than two states to the system depending on the difference between strength and stress values. Unlike Eryılmaz (2011)7. Eryılmaz, S. (2011). A new perspective to stress–strength models. Ann. Inst. Statist. Math., 63(1):101–115.View all references, the present paper deals with the ratio of the strength and stress values when the stress and strength follow independent exponential distributions. This paper presents in detail the estimation aspect of the multi-state stress-strength reliability function.
    No preview · Article · Feb 2016 · Communication in Statistics- Theory and Methods
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    ABSTRACT: This article develops an adjusted empirical likelihood method for the additive hazards model. The adjusted empirical likelihood ratio is shown to have a central chi-squared limiting distribution under the null hypothesis. And we also evaluate its asymptotic distribution as a noncentral chi-squared distribution under the local alternatives of order n−1/2, deriving the expression for the asymptotic power function. Simulation studies and a real example are conducted to evaluate the finite sample performance of the proposed method. Compared with the normal approximation based method, the proposed method tends to have more larger empirical powers and smaller confidence regions with comparable coverage probabilities.
    No preview · Article · Feb 2016 · Communication in Statistics- Theory and Methods
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    ABSTRACT: In this article, causal inference in randomized studies with recurrent events data and all-or-none compliance is considered. We use the counting process to analyze the recurrent events data and propose a causal proportional intensity model. The maximum likelihood approach is adopted to estimate the parameters of the proposed causal model. To overcome the computational difficulties created by the mixture structure of the problem, we develop an expectation-maximization (EM) algorithm. The resulting estimators are shown to be consistent and asymptotically normal. We further estimate the complier average causal effect (CACE), which is defined as the difference of the average numbers of recurrence between treatment and control groups within the complier class. The corresponding inferential procedures are established. Some simulation studies are conducted to assess the finite sample performance of the proposed approach.
    No preview · Article · Feb 2016 · Communication in Statistics- Theory and Methods
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    ABSTRACT: Under a balanced loss function, we investigate the minimax prediction of finite population regression coefficient in a superpopulation model with Gauss-Markov type errors. The linear minimax predictor (LMP) proved to be admissible in the class of homogeneous linear predictors is obtained. Under the balanced loss function, we further prove that LMP dominates the best linear unbiased predictor (BLUP) proposed by Bolfarine et al. [Bolfarine et al., Optimal prediction of the finite population regression coefficient, Sankhy. Ser. B. 56 (1994) 1–10] on certain conditions. Moreover, a numerical example is performed to illustrate the theoretical results.
    No preview · Article · Feb 2016 · Communication in Statistics- Theory and Methods
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    ABSTRACT: This note presents an approximation to multivariate regression models which is obtained from a first-order series expansion of the multivariate link function. The proposed approach yields a variable-addition approximation of regression models that enables a multivariate generalization the well-known goodness of link specification test, available for univariate generalized linear models. Application of this general methodology is illustrated with models of multinomial discrete choice and multivariate fractional data, in which context it is shown to lead to well-established approximation and testing procedures.
    No preview · Article · Feb 2016 · Communication in Statistics- Theory and Methods