All Stories

  1. Tail Inference With Probability Weighted Moments
  2. A New Class of Conditional Tail Expectation Estimators
  3. A Partially Reduced Bias Hill Estimator of the Extreme Value Index
  4. Peaks Over Random Thresholds (PORT) Estimation of the Weibull Tail Coefficient
  5. Lifetime distributions: A review
  6. A New Class of Reduced-Bias Generalized Hill Estimators
  7. Comparing Estimation Methods for the Power–Pareto Distribution
  8. An Evaluation of the Efficiency of a Shape Parameter Estimator for the Log‐logistic Distribution
  9. Improvements in the estimation of the Weibull tail coefficient: A comparative study
  10. Reduced bias estimation of the shape parameter of the log-logistic distribution
  11. A New Class of Generalized Probability-Weighted Moment Estimators for the Pareto Distribution
  12. The Use of Generalized Means in the Estimation of the Weibull Tail Coefficient
  13. Improved Shape Parameter Estimation for the Three-Parameter Log-Logistic Distribution
  14. Exponential versus generalized exponential distribution: A computational study
  15. Preface of the Session “Computational Statistical Methods”
  16. Confidence intervals for the shape parameter of a Pareto distribution
  17. Computational Study of the Adaptive Estimation of the Extreme Value Index with Probability Weighted Moments
  18. Estimation of the Weibull Tail Coefficient Through the Power Mean-of-Order-p
  19. Extreme Value Theory—Application of the Peaks Over Threshold Method and the Generalized Pareto Distribution to Athletics Decathlon and Heptathlon
  20. A class of weighted Hill estimators
  21. A new class of estimators for the shape parameter of a Pareto model
  22. Minimum‐variance reduced‐bias estimation of the extreme value index: A theoretical and empirical study
  23. On the comparison of several classical estimators of the extreme value index
  24. Reduced-bias and partially reduced-bias mean-of-order-pvalue-at-risk estimation: a Monte-Carlo comparison and an application
  25. Lehmer's mean-of-order-p extreme value index estimation: a simulation study and applications
  26. Reduced‐bias kernel estimators of a positive extreme value index
  27. A simple class of reduced bias kernel estimators of extreme value parameters
  28. Corrected-Hill versus partially reduced-bias value-at-risk estimation
  29. Empirical Power Study of the Jackson Exponentiality Test
  30. Exact and Approximate Probabilities for the Null Distribution of Bartels Randomness Test
  31. Improving Asymptotically Unbiased Extreme Value Index Estimation
  32. Bootstrap Methods in Statistics of Extremes
  33. Mean-of-order p reduced-bias extreme value index estimation under a third-order framework
  34. Univariate Extreme Value Analysis
  35. A note on the Jackson exponentiality test
  36. Preface of the “3rd Symposium on Computational Statistical Methods”
  37. Reduced bias Hill estimators
  38. Statistical analysis of extreme river flows
  39. A new partially reduced-bias mean-of-orderpclass of extreme value index estimators
  40. A Log Probability Weighted Moment Estimator of Extreme Quantiles
  41. Adaptive estimation of a tail shape second order parameter: A computational comparative study
  42. Extreme value analysis of the sea levels in Venice
  43. Finite sample behaviour of classical and quantile regression estimators for the Pareto distribution
  44. Preface of the “2nd Symposium on Computational Statistical Methods”
  45. The difference-sign randomness test: A review
  46. A location-invariant probability weighted moment estimation of the Extreme Value Index
  47. Bias reduction in the estimation of a shape second-order parameter of a heavy-tailed model
  48. Revisiting the Maximum Likelihood Estimation of a Positive Extreme Value Index
  49. A Semi-parametric Estimator of a Shape Second-Order Parameter
  50. An R implementation of several randomness tests
  51. Comparison of asymptotically unbiased extreme value index estimators: A Monte Carlo simulation study
  52. Preface of the "Symposium on computational statistical methods"
  53. Asymptotic Comparison at Optimal Levels of Minimum-Variance Reduced-Bias Tail-Index Estimators
  54. Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications
  55. Comparing several tests of randomness based on the difference of observations
  56. On the selection of the tuning parameter of a moment estimator of the extreme value index
  57. Refined Estimation of a Light Tail: An Application to Environmental Data
  58. A Class of Semi-parametric Probability Weighted Moment Estimators
  59. Semi-Parametric Probability-Weighted Moments Estimation Revisited
  60. A reduced bias estimator of a ‘scale’ second order parameter
  61. Asymptotic comparison at optimal levels of reduced‐bias extreme value index estimators
  62. Semi-parametric tail inference through probability-weighted moments
  63. Asymptotic Distribution of an Extreme Value Index Estimator Based on the Scaled Log-spacings
  64. An asymptotically unbiased moment estimator of a negative extreme value index
  65. Reduced-Bias Tail Index Estimators Under a Third-Order Framework
  66. A note on the asymptotic variance at optimal levels of a bias-corrected Hill estimator
  67. Semi-parametric second-order reduced-bias high quantile estimation
  68. A new class of estimators of a “scale” second order parameter
  69. Bias reduction of a tail index estimator through an external estimation of the second-order parameter
  70. A class of asymptotically unbiased semi-parametric estimators of the tail index