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This book was originally compiled for a course I taught at the University of Rochester in the fall of 1991, and is intended to give advanced graduate students in statistics an introduction to Edgeworth and saddlepoint approximations, and related techniques. Many other authors have also written monographs on this s- ject, and so this work is narrowly focused on two areas not recently discussed in theoretical text books. These areas are, ?rst, a rigorous consideration of Edgeworth and saddlepoint expansion limit theorems, and second, a survey of the more recent developments in the ?eld. In presenting expansion limit theorems I have drawn heavily on notation of McCullagh (1987) and on the theorems presented by Feller (1971) on Edgeworth expansions. For saddlepoint notation and results I relied most heavily on the many papers of Daniels, and a review paper by Reid (1988). Throughout this book I have tried to maintain consistent notation and to present theorems in such a way as to make a few theoretical results useful in as many contexts as possible. This was not only in order to present as many results with as few proofs as possible, but more importantly to show the interconnections between the various facets of asymptotic theory. Special attention is paid to regularity conditions. The reasons they are needed and the parts they play in the proofs are both highlighted.
Mathematical statistics --- Asymptotic distribution (Probability theory) --- Edgeworth expansions. --- Asymptotic theory. --- Edgeworth series --- Expansions, Edgeworth --- Distribution (Probability theory) --- Sampling (Statistics) --- Asymptotic expansions --- Central limit theorem --- Mathematical statistics. --- Mathematics. --- Statistical Theory and Methods. --- Applications of Mathematics. --- Math --- Science --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Statistical methods --- Statistics . --- Applied mathematics. --- Engineering mathematics. --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Engineering --- Engineering analysis --- Mathematical analysis
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Mathematical statistics --- Asymptotic distribution (Probability theory) --- Edgeworth expansions --- Distribution asymptotique (Théorie des probabilités) --- Edgeworth, Expansions d' --- Statistique mathématique --- Asymptotic theory --- Théorie asymptotique --- 519.245 --- -Asymptotic distribution (Probability theory) --- Edgeworth series --- Expansions, Edgeworth --- Distribution (Probability theory) --- Sampling (Statistics) --- Asymptotic expansions --- Central limit theorem --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Stochastic approximation. Monte Carlo methods --- Statistical methods --- 519.245 Stochastic approximation. Monte Carlo methods --- Distribution asymptotique (Théorie des probabilités) --- Statistique mathématique --- Théorie asymptotique --- Mathematical statistics - Asymptotic theory
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Mathematical statistics --- Bootstrap (Statistics) --- Edgeworth expansions --- Bootstrap (Statistique) --- Edgeworth, Expansions d' --- 519.24 --- 519.2 --- 519.23 --- Special statistical applications and models --- Probability. Mathematical statistics --- Statistical analysis. Inference methods --- Edgeworth expansions. --- 519.5 --- Edgeworth series --- Expansions, Edgeworth --- Distribution (Probability theory) --- Sampling (Statistics) --- Bootstrap (Statistics). --- 519.23 Statistical analysis. Inference methods --- 519.2 Probability. Mathematical statistics --- 519.24 Special statistical applications and models --- Bootstrap (statistique) --- Statistique mathématique --- Statistique mathématique --- Mathematical statistics. --- Statistique non paramétrique --- Distribution (théorie des probabilités) --- Methodes de simulation
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RWT Award 2008! For his excellent monograph, Detlef Repplinger won the RWT Reutlinger Wirtschaftstreuhand GMBH award in June 2008. A major theme of this book is the development of a consistent unified model framework for the evaluation of bond options. In general options on zero bonds (e.g. caps) and options on coupon bearing bonds (e.g. swaptions) are linked by no-arbitrage relations through the correlation structure of interest rates. Therefore, unspanned stochastic volatility (USV) as well as Random Field (RF) models are used to model the dynamics of entire yield curves. The USV models postulate a correlation between the bond price dynamics and the subordinated stochastic volatility process, whereas Random Field models allow for a deterministic correlation structure between bond prices of different terms. Then the pricing of bond options is done either by running a Fractional Fourier Transform or by applying the Integrated Edgeworth Expansion approach. The latter is a new extension of a generalized series expansion of the (log) characteristic function, especially adapted for the computation of exercise probabilities.
Bonds --- Options (Finance) --- Prices --- Econometric models. --- Mathematical models. --- Bond issues --- Debentures --- Negotiable instruments --- Securities --- Debts, Public --- Stocks --- Investment analysis. --- Fourier transformations. --- Edgeworth expansions. --- -332.6453 --- Edgeworth series --- Expansions, Edgeworth --- Distribution (Probability theory) --- Sampling (Statistics) --- Transformations, Fourier --- Transforms, Fourier --- Fourier analysis --- Transformations (Mathematics) --- Analysis of investments --- Analysis of securities --- Security analysis --- Call options --- Calls (Finance) --- Listed options --- Options exchange --- Options market --- Options trading --- Put and call transactions --- Put options --- Puts (Finance) --- Derivative securities --- Investments --- Mathematical models --- -Electronic information resources --- E-books --- Finance. --- Macroeconomics. --- Finance, general. --- Macroeconomics/Monetary Economics//Financial Economics. --- Quantitative Finance. --- Economics --- Funding --- Funds --- Currency question --- Investment analysis --- Fourier transformations --- Edgeworth expansions --- Economics, Mathematical . --- Mathematical economics --- Econometrics --- Mathematics --- Methodology --- Social sciences --- Financial Economics. --- Macroeconomics and Monetary Economics. --- Mathematics in Business, Economics and Finance. --- Mathematics. --- -Mathematical models
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