Stimați clienți, din motive tehnice, suportul pentru clienți nu este disponibil astăzi. Vom răspunde solicitărilor dumneavoastră în următoarea zi lucrătoare. Vă mulțumim pentru înțelegere.

Verifică starea comenzii

Faceți parte dintr-o comunitate de iubitori de cărți din întreaga lume și beneficiați de o mulțime de avantaje Creați-vă un cont gratuit

Transport gratuit la punctele de livrare Pick Up peste 349.00 lei

Packeta 15.00 lei Serviciul de curierat Cargus 28.00 lei Easybox 20.00 lei FAN Courier 20.00 lei Punct FAN 16.00 lei Punct DPD 17.00 lei Curier DPD 25.00 lei

Contact

Cum să cumpăr

Ajutor

Contul meu

▸ Gol :-(

Weak Convergence and Empirical Processes

Name: Weak Convergence and Empirical Processes
Brand: Springer Nature B.V.
SKU: 50452354
Price: 297.59 RON
Availability: InStock
Author: A. W. van der Vaart
ISBN: 9783031290398

With Applications to Statistics

A. W. van der Vaart

Jon A. Wellner

Limba

engleză

Carte Carte broșată

Codul Libristo: 50452354

Editura Springer Nature B.V., iulie 2023

This book provides an account of weak convergence theory, empirical processes, and their application... Descrierea completă

Codul Libristo: 50452354

138 b

297.59 lei

În depozitul extern Expediem în 10-18 zile

Până la 30 de zile pentru returnare

Clienții au cumpărat de asemenea

Ecoles Islamiques A Bruxelles ANDOUH SA D

Carte broșată

148.17 lei

This book provides an account of weak convergence theory, empirical processes, and their application to a wide variety of problems in statistics. The first part of the book presents a thorough treatment of stochastic convergence in its various forms. Part 2 brings together the theory of empirical processes in a form accessible to statisticians and probabilists. In Part 3, the authors cover a range of applications in statistics including rates of convergence of estimators; limit theorems for M− and Z−estimators; the bootstrap; the functional delta-method and semiparametric estimation. Most of the chapters conclude with "problems and complements." Some of these are exercises to help the reader's understanding of the material, whereas others are intended to supplement the text.

This second edition includes many of the new developments in the field since publication of the first edition in 1996: Glivenko-Cantelli preservation theorems; new bounds on expectations ofsuprema of empirical processes; new bounds on covering numbers for various function classes; generic chaining; definitive versions of concentration bounds; and new applications in statistics including penalized M-estimation, the lasso, classification, and support vector machines. The approximately 200 additional pages also round out classical subjects, including chapters on weak convergence in Skorokhod space, on stable convergence, and on processes based on pseudo-observations.