International Statistical Review

Volume 87, n° 3, December 2019

  • Christofides, T.C. & Perri, P.F. - Mixture of Truthful–Untruthful Responses in Public Surveys, pp. 557–579.
  • Cox, D.R. & Kartsonaki, C. - On the Analysis of Large Numbers of p-values, pp. 505–513.
  • Gijbels, I., Karim, R., & Verhasselt, A. - On Quantile-based Asymmetric Family of Distributions: Properties and Inference, pp. 471–504.
  • Haziza, D. & Smith, P.A. - An Interview with Chris Skinner, pp. 451–470.
  • Murray, L. & Bellhouse, D. - W.F. Sheppard’s Smoothing Method: A Precursor to Local Polynomial Regression, pp. 604–612.
  • Plass, J., Cattaneo, M.E.G.V., Augustin, T., Schollmeyer, G., & Heumann, C. - Reliable Inference in Categorical Regression Analysis for Non-randomly Coarsened Observations, pp. 580–603.
  • Rakshit, S., Davies, T., Moradi, M.M., McSwiggan, G., Nair, G., Mateu, J., & Baddeley, A. - Fast Kernel Smoothing of Point Patterns on a Large Network using Two-dimensional Convolution, pp. 531–556.
  • Song, Y. & Modarres, R. - Interpoint Distance Test of Homogeneity for Multivariate Mixture Models, pp. 613–638.
  • Zhang, Z., Ma, S., Shen, C., & Liu, C. - Estimating Mann–Whitney-type Causal Effects, pp. 514–530.

(résumés du n° 3/2019)

Volume 87, n° 2, August 2019

Original Articles

  • Das, S. & Haslett, S. - A Comparison of Methods for Poverty Estimation in Developing Countries, pp. 368–392.
  • Edelmann, D., Fokianos, K., & Pitsillou, M. - An Updated Literature Review of Distance Correlation and Its Applications to Time Series, pp. 237–262.
  • Furgal, A.K.C., Sen, A., & Taylor, J.M.G. - Review and Comparison of Computational Approaches for Joint Longitudinal and Time-to-Event Models, pp. 393–418.
  • Guo, L. & Modarres, R. - Interpoint Distance Classification of High Dimensional Discrete Observations, pp. 191–206.
  • Hart, J.D. & Malloure, M. - Prior-free Bayes Factors Based on Data Splitting, pp. 419–442.
  • Maslovskaya, O., Durrant, G.B., Smith, P.W.F., Hanson, T., & Villar, A. - What are the Characteristics of Respondents using Different Devices in Mixed-device Online Surveys? Evidence from Six UK Surveys, pp. 326–346.
  • Micheas, A.C. - Cox Point Processes: Why One Realisation Is Not Enough, pp. 306–325.
  • Ott, M. & Held, L. - Bayesian Calibration of p-Values from Fisher’s Exact Test, pp. 285–305.
  • Piccolo, D., Simone, R., & Iannario, M. - Cumulative and CUB Models for Rating Data: A Comparative Analysis, pp. 207–236.
  • Vallée, A.-A. & Tillé, Y. - Linearisation for Variance Estimation by Means of Sampling Indicators: Application to Non-response, pp. 347–367.
  • Zhang, B. - Projection-Based Inference in Randomised Clinical Trials, pp. 263–284.

Book Reviews

  • Cox, D.R. - Foundations of Info-Metrics, Amos Golan, Oxford University Press, 2018, xx + 465 pages, $99.00, hardcover, ISBN: 978-0-199-34953-1, pp. 443–443.
  • Fischer, D. - Data Science with Julia, Paul D. McNicholas and Peter A. Tait, CRC Press, 2019, 220 pages, £37.59, paperback, ISBN: 978-1-138-49998-0, pp. 445–446.
  • Liu, S. - Statistical Inference for Engineers and Data Scientists, Pierre Moulin and Venugopal V. Veeravalli, Cambridge University Press, 2018, 418 pages, £54.99, hardcover, ISBN: 978-1-107-18592-0, pp. 448–449.
  • Maindonald, J.H. - Design of Experiments for Generalized Linear Models, Kenneth Russell, CRC Press, 2019, xiv + 225 pages, $154.40, hardcover, ISBN: 978-1-498-71917-9, pp. 447–448.
  • Vardeman, S.B. - Statistical Intervals: A Guide for Practitioners and Researchers, Second Edition, William Q. Meeker, Gerald J. Hahn and Luis A. Escobar, John Wiley & Sons Inc., 2017, 592 + xxxv pages, £83.50, hardcover, ISBN: 978-0-471-68717-7, pp. 443–445.
  • Zhao, L. - SAS for Mixed Models: Introduction and Basic Applications, Walter W. Stroup, George A. Milliken, Elizabeth A. Claassen, Russell D. Wolfinger, Chapman & Hall/CRC, 2018, 446 pages, e-book, ISBN: 978-1-63526-152-3, pp. 449–450.

(résumés du n° 2/2019) - Disponible seulement en version numérique

Volume 87, n° 1, April 2019

  • Baffour, B., Chandra, H., & Martinez, A. - Localised Estimates of Dynamics of Multi-dimensional Disadvantage: An Application of the Small Area Estimation Technique Using Australian Survey and Census Data, pp. 1–23.
  • Chiou, S.H., Huang, C.-Y., Xu, G., & Yan, J. - Semiparametric Regression Analysis of Panel Count Data: A Practical Review, pp. 24–43.
  • Cho, H., Matthews, G.J., & Harel, O. - Confidence Intervals for the Area Under the Receiver Operating Characteristic Curve in the Presence of Ignorable Missing Data, pp. 152–177.
  • Eckardt, M. & Mateu, J. - Analysing Multivariate Spatial Point Processes with Continuous Marks: A Graphical Modelling Approach, pp. 44–67.
  • Foss, A.H., Markatou, M., & Ray, B. - Distance Metrics and Clustering Methods for Mixed-type Data, pp. 80–109.
  • Guttorp, P. & Lindgren, G. - Why Distinguish Between Statistics and Mathematical Statistics–The Case of Swedish Academia, pp. 110–126.
  • Pauli, F. - A Statistical Model to Investigate the Reproducibility Rate Based on Replication Experiments, pp. 68–79.
  • Wang, Q. - Extrapolation-based Bandwidth Selectors: A Review and Comparative Study with Discussion on Bivariate Applications, pp. 127–151.

Book Reviews

  • Albert, J. - The Bayesian Way: Introductory Statistics for Economists and Engineers Svein Olav Nyberg John Wiley & Sons, 2018, ix + 512 pages, £87.50, hardcover ISBN: 978-1-119-24687-9, pp. 179–181.
  • Capaldi, M. - Data Science and Predictive Analytics: Biomedical and Health Applications Using R Ivo D. Dinov Springer, 2018, xxxiv + 832 pages, $89.99, hardcover ISBN: 978-3-319-72346-4, pp. 181–182.
  • Numni, T. - Measuring Agreement–Models, Methods, and Applications P. K. Choudhary and H. N. Nagaraja John Wiley & Sons, 2018, xv + 360 pages, £78.99, ebook ISBN: 978-1-118-07858-7, pp. 188–189.
  • Robert, C.P. - Practical Bayesian Inference: A Primer for Physical Scientists Coryn A. L. Bailer-Jones Cambridge University Press, 2017, x + 295 pages, £69.99, hardcover ISBN 978-1-316-64221-4, pp. 182–184.
  • Rosenblad, A. - International Handbook of Research in Statistics Education Dani Ben-Zvi, Katie Makar & Joan Garfield (Eds.) Springer, 2018, xix + 512 pages, £437.50/$229.00, hardcover ISBN: 978-3-319-66193-3, pp. 184–186.
  • Sund, R. - Computer Age Statistical Inference: Algorithms, Evidence, and Data Science Bradley Efron and Trevor Hastie Institute of Mathematical Statistics Monographs Cambridge University Press, 2016, (8th printing 2018), xix + 475 pages, $74.99, hardcover ISBN: 978-1-107-14989-2, pp. 186–188.
  • Young, G.A. - Mathematical Statistics: An Introduction to Likelihood Based Inference Richard J. Rossi John Wiley & Sons, 2018, xv + 422 pages, £85.99, ebook ISBN: 978-1-118-77104-4, LCCN 2018010628 (ebook), pp. 178–179.

(résumés du n° 1/2019) - Disponible seulement en version numérique

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