• Adaptive and unequal probability survey designs for environmental management 

      Brown, Jennifer A.; Salehi, Mohammad M.; Moradi, Mohammad; Panahbehagh, Bardia; Smith, David R. ( The Modelling and Simulation Society of Australia and New Zealand Inc , 2011 , Conference Paper)
      Designing an efficient large-area survey is a challenge, especially in environmental science when many populations are rare and clustered. Adaptive and unequal probability sampling designs are appealing when populations ...
    • An adaptive Monte Carlo integration algorithm with general division approach 

      Alrefaei, Mahmoud H.; Abdul-Rahmanb, Houssam M. ( Elsevier , 2007 , Article)
      We propose an adaptive Monte Carlo algorithm for estimating multidimensional integrals over a hyper-rectangular region. The algorithm uses iteratively the idea of separating the domain of integration into 2ssubregions. The ...
    • An unbalanced ranked-set sampling method to get more than one sample from each set 

      Panahbehagh, B.; Bruggemann, R.; Parvardeh, A.; Salehi, M.; Sabzalian, M.R. ( American Association for Public Opinion Research , 2018 , Article)
      In ranked-set sampling, the restriction of selecting just one individual from each set may require too many sets. We propose a new version of ranked-set sampling that relaxes this restriction. Our new design uses stratified ...
    • Asymptotic properties of the sample mean in adaptive stratified sequential sampling with multiple selection criteria 

      Parvardeh, Afshin; Panahbehagh, Bardia; Salehi M., Mohammad; Brown, Jennifer; Smith, David R. ( Iranian Mathematical Society , 2013 , Article)
      We extend the method of adaptive two-stage sequen-tial sampling to include designs where there is more than one crite-ria used in deciding on the allocation of additional sampling effort. These criteria, or conditions, can ...