Browsing Journal Articles by Author "Biswas, Atanu"

Now showing items 1-6 of 6

    • Auto-association measures for stationary time series of categorical data 

      Biswas, Atanu; Del Carmen Pardo, Maria; Guha, Apratim (TEST, 2014)
      For stationary time series of nominal categorical data or ordinal categorical data (with arbitrary ordered numberings of the categories), autocorrelation does not make much sense. Biswas and Guha (J Stat Plan Infer ...

    • Comparison of treatments in a cataract surgery with circular response 

      Biswas, Atanu; Laha, Arnab Kumar; Dutta, Somak; Bakshi Partho K. (Sage, 2015)
      Circular data are a natural outcome in many biomedical studies, e.g. some measurements in ophthalmologic studies, degrees of rotation of hand or waist, etc. With reference to a real data set on astigmatism induced in two ...

    • Meta-analysis of test accuracy studies with multiple and missing thresholds: a multivariate-normal model 

      Riley, Richard D.; Takwoingi, Yemisi; Trikalinos, Thomas; Biswas, Atanu; Guha, Apratim; Ensor, Joie; Morris, R Katie; Deeks, Jonathan (Journal of Biometrics and Biostatistics, 2014-01)
      When meta-analysing studies examining the diagnostic/predictive accuracy of classifications based on a continuous test, each study may provide results for one or more thresholds, which can vary across studies. Researchers ...

    • Modelling and coherent forecasting of zero-inflated count time series 

      Maiti, Raju; Biswas, Atanu; Guha, Apratim; Ong, Seng Huat (SAGE Publications, 2014)
      In this article, a new kind of stationary zero-inflated Pegram’s operator based integer-valued time series process of order p with Poisson marginal or ZIPPAR(p) process is constructed for modelling count time series ...

    • Modelling and coherent forecasting of zero-inflated count time series 

      Maiti, Raju; Biswas, Atanu; Guha, Apratim; Ong, Seng Huat (Statistical Modelling: An International Journal, 2014)
      In this article, a new kind of stationary zero-inflated Pegram’s operator based integervalued time series process of order p with Poisson marginal or ZIPPAR(p) process is constructed for modelling count time series ...

    • Response-adaptive allocation for circular data 

      Biswas, Atanu; Dutta, Somak; Laha, Arnab Kumar; Bakshi, Partho K. (Taylor & Francis, 2014)
      Response-adaptive designs are used in phase III clinical trials to allocate a larger proportion of patients to the better treatment. Circular data is a natural outcome in many clinical trial setup, e.g., some measurements ...