Buch, Englisch, 429 Seiten, Format (B × H): 175 mm x 246 mm, Gewicht: 947 g
Papers in Honor of George Gregory Roussas
Buch, Englisch, 429 Seiten, Format (B × H): 175 mm x 246 mm, Gewicht: 947 g
ISBN: 978-3-11-035474-4
Verlag: De Gruyter
No detailed description available for "Asymptotics in Statistics and Probability".
Autoren/Hrsg.
Weitere Infos & Material
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 ?-Stable Law, ? ?(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
