Semimartingales and their Statistical Inference

This book PDF is perfect for those who love Mathematics genre, written by B.L.S. Prakasa Rao and published by CRC Press which was released on 11 May 1999 with total hardcover pages 684. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Semimartingales and their Statistical Inference books below.

Semimartingales and their Statistical Inference
Author : B.L.S. Prakasa Rao
File Size : 45,6 Mb
Publisher : CRC Press
Language : English
Release Date : 11 May 1999
ISBN : 1584880082
Pages : 684 pages
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Semimartingales and their Statistical Inference by B.L.S. Prakasa Rao Book PDF Summary

Statistical inference carries great significance in model building from both the theoretical and the applications points of view. Its applications to engineering and economic systems, financial economics, and the biological and medical sciences have made statistical inference for stochastic processes a well-recognized and important branch of statistics and probability. The class of semimartingales includes a large class of stochastic processes, including diffusion type processes, point processes, and diffusion type processes with jumps, widely used for stochastic modeling. Until now, however, researchers have had no single reference that collected the research conducted on the asymptotic theory for semimartingales. Semimartingales and their Statistical Inference, fills this need by presenting a comprehensive discussion of the asymptotic theory of semimartingales at a level needed for researchers working in the area of statistical inference for stochastic processes. The author brings together into one volume the state-of-the-art in the inferential aspect for such processes. The topics discussed include: Asymptotic likelihood theory Quasi-likelihood Likelihood and efficiency Inference for counting processes Inference for semimartingale regression models The author addresses a number of stochastic modeling applications from engineering, economic systems, financial economics, and medical sciences. He also includes some of the new and challenging statistical and probabilistic problems facing today's active researchers working in the area of inference for stochastic processes.

Semimartingales and their Statistical Inference

Statistical inference carries great significance in model building from both the theoretical and the applications points of view. Its applications to engineering and economic systems, financial economics, and the biological and medical sciences have made statistical inference for stochastic processes a well-recognized and important branch of statistics and probability. The

Get Book
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