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Asymptotics in Statistics and Probability -

Asymptotics in Statistics and Probability

Papers in Honor of George Gregory Roussas

Madan L. Puri (Herausgeber)

Buch | Hardcover
XXIV, 429 Seiten
2000 | 1. Reprint 2018
De Gruyter (Verlag)
978-3-11-035474-4 (ISBN)
CHF 399,95 inkl. MwSt
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No detailed description available for "Asymptotics in Statistics and Probability".
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

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

Erscheint lt. Verlag 28.11.2000
Verlagsort Berlin/Boston
Sprache englisch
Maße 170 x 250 mm
Gewicht 945 g
Themenwelt Mathematik / Informatik Mathematik Allgemeines / Lexika
Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Schlagworte Asymptotisches Verhalten • Statistik • Stochastik
ISBN-10 3-11-035474-8 / 3110354748
ISBN-13 978-3-11-035474-4 / 9783110354744
Zustand Neuware
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