All Stories

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