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

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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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Limba Engleză ● Format PDF ● Pagini 453 ● ISBN 9783110942002 ● Mărime fișier 38.0 MB ● Editor Madan L. Puri ● Editura De Gruyter ● Oraș Berlin/Boston ● Publicat 2018 ● Ediție 1 ● Descărcabil 24 luni ● Valută EUR ● ID 6968027 ● Protecție împotriva copiilor Adobe DRM
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