Madan L. Puri 
Asymptotics in Statistics and Probability [PDF ebook] 
Papers in Honor of George Gregory Roussas

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Das E-Book Asymptotics in Statistics and Probability wird angeboten von De Gruyter und wurde mit folgenden Begriffen kategorisiert:
Asymptotisches Verhalten, Statistik, Stochastik

€289.00
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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

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Idioma Inglés ● Formato PDF ● Páginas 453 ● ISBN 9783110942002 ● Tamaño de archivo 38.0 MB ● Editor Madan L. Puri ● Editorial De Gruyter ● Ciudad Berlin/Boston ● Publicado 2018 ● Edición 1 ● Descargable 24 meses ● Divisa EUR ● ID 6968027 ● Protección de copia Adobe DRM
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