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Springer A Course in Stochastic Processes - Graduate Textbook

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Description

This Springer publication provides an elementary introduction to stochastic processes in both discrete and continuous time. Designed for senior and graduate-level students, the text covers standard and classical material through its first twelve lessons. To expand the scope of study, the book includes three additional lessons that introduce the statistics of stochastic processes. These extra sections can be used as optional material or as a foundational introduction to statistical inference with dependent observations. This textbook serves as a comprehensive resource for those studying stochastic models and statistical inference within the Theory and Decision Library.

Key Features

This Springer textbook provides an elementary introduction to stochastic processes in both discrete and continuous time.

The material covers standard and classical topics suitable for a first course at the senior or graduate level.

Lessons 1 through 12 deliver core instruction on stochastic models and statistical inference.

Three additional lessons, 13 through 15, offer a view into the statistics of stochastic processes.

The extra lessons serve as an introduction to statistical inference with dependent observations.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 June 1996
Listed Since
15 January 2007

Barcode

No barcode data available

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