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Stationary Stochastic Processes for Scientists and Engineers | 0:e upplagan
- Danskt band, Engelska, 2013
- Författare: Georg Lindgren, Holger Rootzen, Maria Sandsten
- Betyg:
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Stochastic processes are indispensable tools for development and research in signal and image processing, automatic control, oceanography, structural reliability, environmetrics, climatology, econometrics, and many other areas of science and engineering. Suitable for a one-semester course, Stationary Stochastic Processes for Scientists and Engineers teaches students how to use these processes efficiently. Carefully balancing mathematical rigor and ease of exposition, the book provides students with a sufficient understanding of the theory and a practical appreciation of how it is used in real-life situations. Special emphasis is on the interpretation of various statistical models and concepts as well as the types of questions statistical analysis can answer.
The text first introduces numerous examples from signal processing, economics, and general natural sciences and technology. It then covers the estimation of mean value and covariance functions, properties of stationary Poisson processes, Fourier analysis of the covariance function (spectral analysis), and the Gaussian distribution. The book also focuses on input-output relations in linear filters, describes discrete-time auto-regressive and moving average processes, and explains how to solve linear stochastic differential equations. It concludes with frequency analysis and estimation of spectral densities.
With a focus on model building and interpreting the statistical concepts, this classroom-tested book conveys a broad understanding of the mechanisms that generate stationary stochastic processes. By combining theory and applications, the text gives students a well-rounded introduction to these processes. To enable hands-on practice, MATLAB® code is available online.
The text first introduces numerous examples from signal processing, economics, and general natural sciences and technology. It then covers the estimation of mean value and covariance functions, properties of stationary Poisson processes, Fourier analysis of the covariance function (spectral analysis), and the Gaussian distribution. The book also focuses on input-output relations in linear filters, describes discrete-time auto-regressive and moving average processes, and explains how to solve linear stochastic differential equations. It concludes with frequency analysis and estimation of spectral densities.
With a focus on model building and interpreting the statistical concepts, this classroom-tested book conveys a broad understanding of the mechanisms that generate stationary stochastic processes. By combining theory and applications, the text gives students a well-rounded introduction to these processes. To enable hands-on practice, MATLAB® code is available online.
Om denna bok
Stationary Stochastic Processes for Scientists and Engineers av Georg Lindgren, Holger Rootzen och Maria Sandsten är en Danskt band bok med 330 sidor på Engelska. Den utgavs 2013 av Taylor & Francis Ltd.
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Används vid svenska universitet
Denna kurslitteratur används aktivt i 5 universitetskurser vid lärosäten runt om i Sverige, inklusive:
Boken är särskilt populär inom Naturvetenskap & teknik-programmen.
Produktinformation
Kategori:
Naturvetenskap & teknik
Bandtyp:
Danskt band
Språk:
Engelska
ISBN:
9781466586185
Upplaga:
0
Utgiven:
2013-10-11
Förlag:
Taylor & Francis Ltd
Sidantal:
330