Part I - Basic principles. pp 1-2 · 1 - What is a stochastic process? pp 3-17 · 2 - Basics of statistical modelling. pp 18-36.
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This 2004 book introduces ways of modelling phenomena that occur over time. Covers stochastic processes, survival analysis, time series and more.
Stochastic models and related statistical procedures play an important part in furthering our understanding of the challenging problems currently arising in.
The topics range from pure and applied statistics to probability theory, operations research, optimization, and mathe- matical programming. The books contain ...
Statistical Analysis of Stochastic Processes in Time
Book by James K. Lindsey
This book was first published in 2004. Many observed phenomena, from the changing health of a patient to values on the stock market, are characterised by quantities that vary over time: stochastic processes are designed to study them. ... Google Books
Originally published: 2004
Author: James K. Lindsey
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This book deals with a range of methods that are useful in analyzing processes in time. After a two-chapter introduction on basic statistics, six chapters ...
This book was first published in 2004. Many observed phenomena, from the changing health of a patient to values on the stock market, are characterised by ...
This book is an extraordinary piece of literature which gives the non-fluent statistician the ability to model random events. It is simply a masterpiece and ...
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Statistical Analysis of Stochastic Processes in Time, Hardcover by Lindsey, James K., ISBN 0521837413, ISBN-13 9780521837415, Like New Used, Free shipping ...
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This introduction to ways of modelling a wide variety of phenomena that occur over time is accessible to anyone with a basic knowledge of statistical ideas.
Jan 15, 2008 · It covers the standard bio- statistics topics: inference on rates; relative risks; odds ratios; means; linear, logistic, and proportional ...