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  1. 1
    A study on non-gaussian distributions and time series models
    Ph.D Thesis
  2. 2
    Generalized confidence intervals for process capability indices
    Ph.D Thesis
  3. 3
    Pathway distributions, autoregressive processes and their applications
    Ph.D Thesis
  4. 4
    Autoregressive processes with convolutions of gaussian and non-gaussian marginal distributions and their applications
    Ph.D Thesis
  5. 5
    A study on a class of univariate and bivariate distributions with special emphasis on time series modeling
    Ph.D Thesis
  6. 6
    A study on non-gaussian time series modeling and applications
    Ph.D Thesis
  7. 7
    Some problems in design of experiments
    Ph.D Thesis
  8. 8
    Some extensions of dirichlet models and their applications
    Ph.D Thesis
  9. 9
    Some inference problems related to geometric distribution
    Ph.D Thesis
  10. 10
    Some properties and inferential problems related to non-normal distributions with kurtosis three
    Ph.D Thesis
  11. 11
    Ramifications and applications of generalised Alpha-Laplace distributions and processes
    Ph.D Thesis
  12. 12
    Marshall-Olkin distributions and minification processes
    Ph.D Thesis
  13. 13
    A class of heavy-tailed distributions and their applications
    Ph.D Thesis
  14. 14
    Software reliability growth models/
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    Ph.D Thesis
  15. 15
    Probability models in the context of random summation schemes /
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    Ph.D Thesis
  16. 16
    Business process improvement in Indian industries through statistical techniques/
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    Ph.D Thesis
  17. 17
    Log- symmetric distributions and their applications
    Ph.D Thesis
  18. 18
    Statistical modelling and analysis of microarray gene expression data
    Ph.D Thesis
  19. 19
    Some problems in block designs and optimality criteria
    Ph.D Thesis
  20. 20
    Self avoiding walks
    Ph.D Thesis
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