Statistics For High-Dimensional Data. Methods, Theory An Applications Buhlmann, Peter; Van de Geer, Sara Springer-Verlag Berlin Heidelberg |
Proofs From The Book. (Fourth Edition) Aigner, Martin; Ziegler, Gunter M. Springer-Verlag Berlin Heidelberg |
Architecture Principles. The Cornerstones Of Enterprise Architecture Greefhorst, Danny; Proper, Erik Springer-Verlag Berlin Heidelberg |
Linear Ordering Problem, The. Exact And Heuristic Methods In Combinatorial Optim Marti, Rafael; Reinelt, Gerhard Springer-Verlag Berlin Heidelberg |
Generalized Lie Theory In Mathematics, Physics And Beyond Silvestrov, Sergei; Paal, Eugen; Abramov, Viktor; Stolin, Al Springer-Verlag Berlin Heidelberg |
Fourier Analysis And Nonlinear Partial Differential Equations (Vol. 343 ) Bahouri, Hajer; Chemin, Jean-Yves; Danchin, Raphael Springer-Verlag Berlin Heidelberg |
Boundary Element Methods. ( Vol. 39) Sauter, Stefan A. ; Schwab, Christoph Springer-Verlag Berlin Heidelberg |
Título: Normal Approximation By Steins's Method | ||
Autor: Griffiths, David F. ; Higham, Desmond J. | Precio: $936.88 | |
Editorial: Springer-Verlag Berlin Heidelberg | Año: 2011 | |
Tema: | Edición: 1ª | |
Sinopsis | ISBN: 9783642150067 | |
Since its introduction in 1972, Stein's method has offered a completely novel way of evaluating the quality of normal approximations. Through its characterizing equation approach, it is able to provide approximation error bounds in a wide variety of situations, even in the presence of complicated dependence. Use of the method thus opens the door to the analysis of random phenomena arising in areas including statistics, physics, and molecular biology.
Though Stein's method for normal approximation is now mature, the literature has so far lacked a complete self contained treatment. This volume contains thorough coverage of the method's fundamentals, includes a large number of recent developments in both theory and applications, and will help accelerate the appreciation, understanding, and use of Stein's method by providing the reader with the tools needed to apply it in new situations. It addresses researchers as well as graduate students in Probability, Statistics and Combinatorics. |