Stochastic processes and filtering theory:
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York
Academic Press
1970
|
| Schriftenreihe: | Mathematics in science and engineering
64 |
| Schlagworte: | |
| Beschreibung: | Print version record |
| Beschreibung: | 1 online resource (376 pages) illustrations |
| ISBN: | 9780080960906 0080960901 |
Internformat
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| 245 | 1 | 0 | |a Stochastic processes and filtering theory |c edited by Anderew H. Jazwinski |
| 264 | 1 | |a New York |b Academic Press |c 1970 | |
| 300 | |a 1 online resource (376 pages) |b illustrations | ||
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| 490 | 0 | |a Mathematics in science and engineering |v 64 | |
| 500 | |a Print version record | ||
| 505 | 8 | |a This book presents a unified treatment of linear and nonlinear filtering theory for engineers, with sufficient emphasis on applications to enable the reader to use the theory. The need for this book is twofold. First, although linear estimation theory is relatively well known, it is largely scattered in the journal literature and has not been collected in a single source. Second, available literature on the continuous nonlinear theory is quite esoteric and controversial, and thus inaccessible to engineers uninitiated in measure theory and stochastic differential equations | |
| 650 | 7 | |a MATHEMATICS / Probability & Statistics / General |2 bisacsh | |
| 650 | 7 | |a Bayesian statistical decision theory |2 fast | |
| 650 | 7 | |a Estimation theory |2 fast | |
| 650 | 4 | |a Estimation theory |a Bayesian statistical decision theory | |
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| 700 | 1 | |a Jazwinski, Andrew H. |4 edt | |
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Datensatz im Suchindex
| _version_ | 1804179161961463808 |
|---|---|
| any_adam_object | |
| author2 | Jazwinski, Andrew H. |
| author2_role | edt |
| author2_variant | a h j ah ahj |
| author_facet | Jazwinski, Andrew H. |
| building | Verbundindex |
| bvnumber | BV045343312 |
| classification_rvk | QH 170 SK 820 |
| collection | ZDB-4-ENC |
| contents | This book presents a unified treatment of linear and nonlinear filtering theory for engineers, with sufficient emphasis on applications to enable the reader to use the theory. The need for this book is twofold. First, although linear estimation theory is relatively well known, it is largely scattered in the journal literature and has not been collected in a single source. Second, available literature on the continuous nonlinear theory is quite esoteric and controversial, and thus inaccessible to engineers uninitiated in measure theory and stochastic differential equations |
| ctrlnum | (ZDB-4-ENC)ocn466443742 (OCoLC)466443742 (DE-599)BVBBV045343312 |
| dewey-full | 519.5/44 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5/44 |
| dewey-search | 519.5/44 |
| dewey-sort | 3519.5 244 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | DE-604.BV045343312 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:15:28Z |
| institution | BVB |
| isbn | 9780080960906 0080960901 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030730015 |
| oclc_num | 466443742 |
| open_access_boolean | |
| physical | 1 online resource (376 pages) illustrations |
| psigel | ZDB-4-ENC |
| publishDate | 1970 |
| publishDateSearch | 1970 |
| publishDateSort | 1970 |
| publisher | Academic Press |
| record_format | marc |
| series2 | Mathematics in science and engineering |
| spelling | Stochastic processes and filtering theory edited by Anderew H. Jazwinski New York Academic Press 1970 1 online resource (376 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Mathematics in science and engineering 64 Print version record This book presents a unified treatment of linear and nonlinear filtering theory for engineers, with sufficient emphasis on applications to enable the reader to use the theory. The need for this book is twofold. First, although linear estimation theory is relatively well known, it is largely scattered in the journal literature and has not been collected in a single source. Second, available literature on the continuous nonlinear theory is quite esoteric and controversial, and thus inaccessible to engineers uninitiated in measure theory and stochastic differential equations MATHEMATICS / Probability & Statistics / General bisacsh Bayesian statistical decision theory fast Estimation theory fast Estimation theory Bayesian statistical decision theory Filter Stochastik (DE-588)4128590-6 gnd rswk-swf Filtertheorie (DE-588)4154392-0 gnd rswk-swf Filter Mathematik (DE-588)4154388-9 gnd rswk-swf Stochastischer Prozess (DE-588)4057630-9 gnd rswk-swf Filterung Stochastik (DE-588)4121267-8 gnd rswk-swf Filter Mathematik (DE-588)4154388-9 s Stochastischer Prozess (DE-588)4057630-9 s 1\p DE-604 Filtertheorie (DE-588)4154392-0 s 2\p DE-604 Filter Stochastik (DE-588)4128590-6 s 3\p DE-604 Filterung Stochastik (DE-588)4121267-8 s 4\p DE-604 Jazwinski, Andrew H. edt Erscheint auch als Druck-Ausgabe Jazwinski, Andrew Stochastic Processes and Filtering Theory Burlington : Elsevier, 1970 9780123815507 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Stochastic processes and filtering theory This book presents a unified treatment of linear and nonlinear filtering theory for engineers, with sufficient emphasis on applications to enable the reader to use the theory. The need for this book is twofold. First, although linear estimation theory is relatively well known, it is largely scattered in the journal literature and has not been collected in a single source. Second, available literature on the continuous nonlinear theory is quite esoteric and controversial, and thus inaccessible to engineers uninitiated in measure theory and stochastic differential equations MATHEMATICS / Probability & Statistics / General bisacsh Bayesian statistical decision theory fast Estimation theory fast Estimation theory Bayesian statistical decision theory Filter Stochastik (DE-588)4128590-6 gnd Filtertheorie (DE-588)4154392-0 gnd Filter Mathematik (DE-588)4154388-9 gnd Stochastischer Prozess (DE-588)4057630-9 gnd Filterung Stochastik (DE-588)4121267-8 gnd |
| subject_GND | (DE-588)4128590-6 (DE-588)4154392-0 (DE-588)4154388-9 (DE-588)4057630-9 (DE-588)4121267-8 |
| title | Stochastic processes and filtering theory |
| title_auth | Stochastic processes and filtering theory |
| title_exact_search | Stochastic processes and filtering theory |
| title_full | Stochastic processes and filtering theory edited by Anderew H. Jazwinski |
| title_fullStr | Stochastic processes and filtering theory edited by Anderew H. Jazwinski |
| title_full_unstemmed | Stochastic processes and filtering theory edited by Anderew H. Jazwinski |
| title_short | Stochastic processes and filtering theory |
| title_sort | stochastic processes and filtering theory |
| topic | MATHEMATICS / Probability & Statistics / General bisacsh Bayesian statistical decision theory fast Estimation theory fast Estimation theory Bayesian statistical decision theory Filter Stochastik (DE-588)4128590-6 gnd Filtertheorie (DE-588)4154392-0 gnd Filter Mathematik (DE-588)4154388-9 gnd Stochastischer Prozess (DE-588)4057630-9 gnd Filterung Stochastik (DE-588)4121267-8 gnd |
| topic_facet | MATHEMATICS / Probability & Statistics / General Bayesian statistical decision theory Estimation theory Estimation theory Bayesian statistical decision theory Filter Stochastik Filtertheorie Filter Mathematik Stochastischer Prozess Filterung Stochastik |
| work_keys_str_mv | AT jazwinskiandrewh stochasticprocessesandfilteringtheory |