9783540856351 - self-normalized processes: limit theory and statistical applications (probability and its applications) von peña, victor h.; lai, tze leung; shao, qi-man (4 Ergebnisse)
Sprache: Englisch
Verlag: Springer, 2009
- Hardcover
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 292 | Sprache: Englisch | Produktart: Bücher | Self-normalized processes are of common occurrence in probabilistic and statistical studies. A prototypical example is Student's t-statistic introduced in 1908 by Gosset, whose portrait is on the front cover. Due to the highly non-linea…r nature of these processes, the theory experienced a long period of slow development. In recent years there have been a number of important advances in the theory and applications of self-normalized processes. Some of these developments are closely linked to the study of central limit theorems, which imply that self-normalized processes are approximate pivots for statistical inference.The present volume covers recent developments in the area, including self-normalized large and moderate deviations, and laws of the iterated logarithms for self-normalized martingales. This is the first book that systematically treats the theory and applications of self-normalization.
Sprache: Englisch
Verlag: Springer, 2009
- Hardcover
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Zustand: New. In.
Sprache: Englisch
Verlag: Springer-Verlag Berlin And Heidelberg Gmbh & Co. Kg, 2009
- Hardcover
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Hardcover. Zustand: Brand New. 1st edition. 275 pages. 9.25x6.25x1.00 inches. In Stock.
Sprache: Englisch
Verlag: Springer, 2009
- Hardcover
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Self-normalized processes are of common occurrence in probabilistic and statistical studies. A prototypical example is Student's t-statistic introduced in 1908 by Gosset, whose portrait is on the front cover. Due to the highly non-linear nature of these pro…cesses, the theory experienced a long period of slow development. In recent years there have been a number of important advances in the theory and applications of self-normalized processes. Some of these developments are closely linked to the study of central limit theorems, which imply that self-normalized processes are approximate pivots for statistical inference.The present volume covers recent developments in the area, including self-normalized large and moderate deviations, and laws of the iterated logarithms for self-normalized martingales. This is the first book that systematically treats the theory and applications of self-normalization.
