Asymptotics in Statistics and Probability : : Papers in Honor of George Gregory Roussas / / ed. by Madan L. Puri.
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Table of Contents:
- Frontmatter
- Contents
- Preface
- Contributors
- George Gregory Roussas: Biographical Sketch
- REACT Trend Estimation In Correlated Noise
- Higher Order Analysis at Lebesgue Points
- Regression Analysis for Multivariate Failure Time Observations
- Local Estimation of a Biometric Function with Covariate Effects
- The Estimation of Conditional Densities
- Functional Limit Theorems for Induced Order Statistics of a Sample from a Domain of Attraction of α-Stable Law, α ∈(0,2)
- Limit Laws for Kernel Density Estimators for Kernels with Unbounded Supports
- Inequalities for a New Data-Based Method for Selecting Nonparametric Density Estimates
- B-Fuzzy Stochastics
- Detecting Jumps in Nonparametric Regression
- Some Recent Results on Inference Based on Spacings
- Extending Correlation and Regression from Multivariate to Functional Data
- Estimation of Conditional Distribution Function and its Quantiles Involving Measurement Errors
- On the Estimation of a Distribution Function from Noisy Observations in Time Series
- Nonparametric Estimation of Conditional Survival Under Destructive Testing
- Local Polynomial Fitting of Continuous-Time Processes From Discrete-Time Observations: Strong Consistency and Rates
- A Central Limit Theorem for an Array of Strong Mixing Random Fields
- The Continuous-Path Block-Bootstrap
- Nonparametric Estimation of Partial Derivatives of a Multivariate Probability Density by the Method of Wavelets
- Limit Theorems for Fuzzy Random Variables
- Statistical Analysis of Doubly Censored Data Under Support Constraints
- Limit Theorems for Exchangeable Random Elements and Random Sets
- The Least Squares Method in Heteroscedastic Censored Regression Models
- L1 Estimates for an Additive Regression Type Function Under Dependence
- Estimating L1 Error of Kernel Estimator: Convergence Monitoring of Markov Samplers
- APPENDIX: The Publications of George Gregory Roussas
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