Kaikki kirjat 25 % alennuksella koodilla: BOOKS

  • check Yli 10 miljoonaa kirjaa
  • check Uutuuksia joka päivä
  • check Yli 1 miljoona asiakasta luottaa meihin
  • check Hyvät hinnat ja alennukset
  • check Toimitus koko Eurooppaan

Shrinkage Estimation - William E. Strawderman,Martin T. Wells,Dominique Fourdrinier

englanti
2018-12-06
190,56 € 254,08 €

-25% koodilla BOOKS

Toimittajalla varastossa

Toimitus 17-23 arkipäivässä

30 päivän palautusoikeus

This book provides a coherent framework for understanding shrinkage estimation in statistics. The term refers to modifying a classical estimator by moving it closer to a target which could be known a priori or arise from a model. The goal is to construct estimators with improved statistical properties. The book focuses primarily on point and loss estimation of the mean vector of multivariate normal and sphe ... Täydellinen kuvaus

Saatat myös pitää

Kuvaus

This book provides a coherent framework for understanding shrinkage estimation in statistics. The term refers to modifying a classical estimator by moving it closer to a target which could be known a priori or arise from a model. The goal is to construct estimators with improved statistical properties. The book focuses primarily on point and loss estimation of the mean vector of multivariate normal and spherically symmetric distributions.

Chapter 1 reviews the statistical and decision theoretic terminology and results that will be used throughout the book.
Chapter 2 is concerned with estimating the mean vector of a multivariate normal distribution under quadratic loss from a frequentist perspective. In Chapter 3 the authors take a Bayesian view of shrinkage estimation in the normal setting. Chapter 4 introduces the general classes of spherically and elliptically symmetric distributions. Point and loss estimation for these broad classes are studied in subsequent chapters. In particular, Chapter 5 extends many of the results from Chapters 2 and 3 to spherically and elliptically symmetric distributions.
Chapter 6 considers the general linear model with spherically symmetric error distributions when a residual vector is available. Chapter 7 then considers the problem of estimating a location vector which is constrained to lie in a convex set. Much of the chapter is devoted to one of two types of constraint sets, balls and polyhedral cones. In Chapter 8 the authors focus on loss estimation and data-dependent evidence reports.
Appendices cover a number of technical topics including weakly differentiable functions; examples where Stein¿s identity doesn¿t hold; Stein¿s lemma and Stokes¿ theorem for smooth boundaries; harmonic, superharmonic and subharmonic functions; and modified Bessel functions.

Lisätietoja

Kirjoittaja William E. Strawderman, Martin T. Wells, Dominique Fourdrinier
Julkaisija Springer Nature Switzerland
Series Springer Series in Statistics
Julkaisuvuosi 2018
Kannen tyyppi Kovakantinen
EAN 9783030021849
Kirjoita oma arvostelusi
Arvostelet: Shrinkage Estimation
Arvostelusi:

Goodreads-arvostelut

190,56 € 254,08 €