Vol. 3, No. 2 (2014), International Journal of Statistics and Probability

• • Estimation of a Spearman-Type Multivariate Measure of Local Dependence
  • •  Sumaia Latif   
    •  Pedro Morettin   
    • p1
    •  PDF 
      
• • The Distribution of Maximal Prime Gaps in Cramer's Probabilistic Model of Primes
  • •  Alexei Kourbatov   
    • p18
    •  PDF 
      
• • Multivariate Relationships Between Physiologic and Anthropometric Variables: A Data Based Analysis
  • •  Baidyanath Pal   
    •  Babulal Seal   
    • p30
    •  PDF 
      
• • Random Variables Fundamental in Probability and Sigma-Complete Convergence
  • •  Salvador Rambaud   
    •  Antonio Lopez-Canizares   
    • p46
    •  PDF 
      
• • Inferring Transcriptional Regulatory Relationships Among Genes in Breast Cancer: An Application of Bayes' Theorem
  • •  Emmanuel Adabor   
    •  George Acquaah-Mensah   
    •  Francis Oduro   
    • p52
    •  PDF 
      
• • A New Family of Distributions: Libby-Novick Beta
  • •  Gauss Cordeiro   
    •  Luis Santana   
    •  Edwin Ortega   
    •  Rodrigo Pescim   
    • p63
    •  PDF 
      
• • Estimating Statistical Measures of Pleiotropic and Epistatic Effects in the Genomic Era
  • •  Charles Mode   
    • p81
    •  PDF 
      
• • Large Deviations, Basic Information Theorem for Fitness Preferential Attachment Random Networks
  • •  K. Doku-Amponsah   
    •  F. Mettle   
    •  T. Ansah-Narh   
    • p101
    •  PDF 
      
• • Exponential Approximation, Method of Types for Empirical Neighbourhood Distributions of Random Graphs by Random Allocations
  • •  K. Doku-Amponsah   
    • p110
    •  PDF 
      
• • Testing Inference in Accelerated Failure Time Models
  • •  Francisco Medeiros   
    •  Antônio Silva-Júnior   
    •  Dione Valença   
    •  Silvia Ferrari   
    • p121
    •  PDF 
      
• • Reviewer Acknowledgements for International Journal of Statistics and Probability, Vol. 3, No. 2
  • •  Wendy Smith   
    • p132
    •  PDF 
      

This work is licensed under a Creative Commons Attribution 4.0 License.