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Stationary Stochastic Processes : Theory and Applications.
Some Probability and Process BackgroundSample space, sample function, and observablesRandom variables and stochastic processesStationary processes and fieldsGaussian processesFour historical landmarksSample Function PropertiesQuadratic mean propertiesSample function continuityDerivatives, tangents,...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken :
CRC Press,
2012.
|
| Colección: | Chapman & Hall/CRC Texts in Statistical Science.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Lindgren, Georg. | |
| 245 | 1 | 0 | |a Stationary Stochastic Processes : |b Theory and Applications. |
| 260 | |a Hoboken : |b CRC Press, |c 2012. | ||
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| 490 | 1 | |a Chapman & Hall/CRC Texts in Statistical Science | |
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Front Cover; Dedication; Contents; List of figures; Preface; Acknowledgments; List of notations; 1. Some probability and process background; 2. Sample function properties; 3. Spectral representations; 4. Linearfilters -- general properties; 5. Linearfilters -- special topics; 6. Classical ergodic theory and mixing; 7. Vector processes and random fields; 8. Level crossings and excursions; A. Some probability theory; B. Spectral simulation of random processes; C. Commonly used spectra; D. Solutions and hints to selected exercises; Bibliography. | |
| 520 | |a Some Probability and Process BackgroundSample space, sample function, and observablesRandom variables and stochastic processesStationary processes and fieldsGaussian processesFour historical landmarksSample Function PropertiesQuadratic mean propertiesSample function continuityDerivatives, tangents, and other characteristicsStochastic integrationAn ergodic resultExercisesSpectral RepresentationsComplex-valued stochastic processesBochner's theorem and the spectral distributionSpectral representation of a stationary processGaussian processesStationary counting processesExercisesLinear Filters - G. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Stationary processes. | |
| 650 | 0 | |a Stochastic analysis. | |
| 650 | 6 | |a Processus stationnaires. | |
| 650 | 6 | |a Analyse stochastique. | |
| 650 | 7 | |a MATHEMATICS |x Applied. |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a Stationary processes |2 fast | |
| 650 | 7 | |a Stochastic analysis |2 fast | |
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| 776 | 0 | 8 | |i Print version: |a Lindgren, Georg. |t Stationary Stochastic Processes : Theory and Applications. |d Hoboken : CRC Press, ©2012 |z 9781466557796 |
| 830 | 0 | |a Chapman & Hall/CRC Texts in Statistical Science. | |
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