Asymptotics in Statistics and Probability
eBook - PDF

Asymptotics in Statistics and Probability

Papers in Honor of George Gregory Roussas

  1. 456 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Asymptotics in Statistics and Probability

Papers in Honor of George Gregory Roussas

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Information

Publisher
De Gruyter
Year
2019
Print ISBN
9783110354744
Edition
1
eBook ISBN
9783110942002

Table of contents

  1. Contents
  2. Preface
  3. Contributors
  4. George Gregory Roussas: Biographical Sketch
  5. REACT Trend Estimation In Correlated Noise
  6. Higher Order Analysis at Lebesgue Points
  7. Regression Analysis for Multivariate Failure Time Observations
  8. Local Estimation of a Biometric Function with Covariate Effects
  9. The Estimation of Conditional Densities
  10. Functional Limit Theorems for Induced Order Statistics of a Sample from a Domain of Attraction of α-Stable Law, α ∈(0,2)
  11. Limit Laws for Kernel Density Estimators for Kernels with Unbounded Supports
  12. Inequalities for a New Data-Based Method for Selecting Nonparametric Density Estimates
  13. B-Fuzzy Stochastics
  14. Detecting Jumps in Nonparametric Regression
  15. Some Recent Results on Inference Based on Spacings
  16. Extending Correlation and Regression from Multivariate to Functional Data
  17. Estimation of Conditional Distribution Function and its Quantiles Involving Measurement Errors
  18. On the Estimation of a Distribution Function from Noisy Observations in Time Series
  19. Nonparametric Estimation of Conditional Survival Under Destructive Testing
  20. Local Polynomial Fitting of Continuous-Time Processes From Discrete-Time Observations: Strong Consistency and Rates
  21. A Central Limit Theorem for an Array of Strong Mixing Random Fields
  22. The Continuous-Path Block-Bootstrap
  23. Nonparametric Estimation of Partial Derivatives of a Multivariate Probability Density by the Method of Wavelets
  24. Limit Theorems for Fuzzy Random Variables
  25. Statistical Analysis of Doubly Censored Data Under Support Constraints
  26. Limit Theorems for Exchangeable Random Elements and Random Sets
  27. The Least Squares Method in Heteroscedastic Censored Regression Models
  28. L<sub>1</sub> Estimates for an Additive Regression Type Function Under Dependence
  29. Estimating L<sub>1</sub> Error of Kernel Estimator: Convergence Monitoring of Markov Samplers
  30. APPENDIX: The Publications of George Gregory Roussas

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