Stochastic processes and filtering theory
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York
Academic Press
1970
|
| Schriftenreihe: | Mathematics in science and engineering
64 |
| Schlagworte: | |
| Online-Zugang: | DE-1046 DE-1047 Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
MARC
| LEADER | 00000nam a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV043044097 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 151123s1970 xx o|||| 00||| eng d | ||
| 020 | |a 0080960901 |c electronic bk. |9 0-08-096090-1 | ||
| 020 | |a 9780080960906 |c electronic bk. |9 978-0-08-096090-6 | ||
| 020 | |a 9780123815507 |9 978-0-12-381550-7 | ||
| 035 | |a (OCoLC)466443742 | ||
| 035 | |a (DE-599)BVBBV043044097 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-1046 |a DE-1047 | ||
| 082 | 0 | |a 519.5/44 |2 22 | |
| 100 | 1 | |a Jazwinski, Andrew H. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Stochastic processes and filtering theory |c Anderew H. Jazwinski |
| 264 | 1 | |a New York |b Academic Press |c 1970 | |
| 300 | |a 1 Online-Ressource (376 pages) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Mathematics in science and engineering |v 64 | |
| 500 | |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 | ||
| 500 | |a Includes bibliographical references and indexes | ||
| 500 | |a Front Cover; Stochastic Processes and Filtering Theory; Copyright Page; Preface; Acknowledgments; Contents; Chapter 1 Introduction; Chapter 2 Probability Theory and Random Variables; Chapter 3 Stochastic Processes; Chapter 4 Stochastic Differential Equations; Chapter 5 Introduction to Filtering Theory; Chapter 6 Nonlinear Filtering Theory; Chapter 7 Linear Filtering Theory; Chapter 8 Applications of Linear Theory; Chapter 9 Approximate Nonlinear Filters; Author Index; Subject Index | ||
| 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 | |
| 650 | 4 | |a Bayesian statistical decision theory | |
| 650 | 0 | 7 | |a Filter |g Stochastik |0 (DE-588)4128590-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Filterung |g Stochastik |0 (DE-588)4121267-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Filtertheorie |0 (DE-588)4154392-0 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Stochastischer Prozess |0 (DE-588)4057630-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Filter |g Mathematik |0 (DE-588)4154388-9 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Filter |g Mathematik |0 (DE-588)4154388-9 |D s |
| 689 | 0 | 1 | |a Stochastischer Prozess |0 (DE-588)4057630-9 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 689 | 1 | 0 | |a Filtertheorie |0 (DE-588)4154392-0 |D s |
| 689 | 1 | 1 | |a Stochastischer Prozess |0 (DE-588)4057630-9 |D s |
| 689 | 1 | |8 2\p |5 DE-604 | |
| 689 | 2 | 0 | |a Stochastischer Prozess |0 (DE-588)4057630-9 |D s |
| 689 | 2 | 1 | |a Filter |g Stochastik |0 (DE-588)4128590-6 |D s |
| 689 | 2 | |8 3\p |5 DE-604 | |
| 689 | 3 | 0 | |a Filterung |g Stochastik |0 (DE-588)4121267-8 |D s |
| 689 | 3 | |8 4\p |5 DE-604 | |
| 856 | 4 | 0 | |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=297093 |x Aggregator |3 Volltext |
| 912 | |a ZDB-4-EBA | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 2\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 3\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 4\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-028468634 | |
| 966 | e | |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=297093 |l DE-1046 |p ZDB-4-EBA |q FAW_PDA_EBA |x Aggregator |3 Volltext | |
| 966 | e | |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=297093 |l DE-1047 |p ZDB-4-EBA |q FAW_PDA_EBA |x Aggregator |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1819295303858126852 |
|---|---|
| any_adam_object | |
| author | Jazwinski, Andrew H. |
| author_facet | Jazwinski, Andrew H. |
| author_role | aut |
| author_sort | Jazwinski, Andrew H. |
| author_variant | a h j ah ahj |
| building | Verbundindex |
| bvnumber | BV043044097 |
| collection | ZDB-4-EBA |
| ctrlnum | (OCoLC)466443742 (DE-599)BVBBV043044097 |
| 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 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04078nam a2200685zcb4500</leader><controlfield tag="001">BV043044097</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">151123s1970 xx o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0080960901</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">0-08-096090-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780080960906</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-0-08-096090-6</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780123815507</subfield><subfield code="9">978-0-12-381550-7</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)466443742</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV043044097</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-1046</subfield><subfield code="a">DE-1047</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">519.5/44</subfield><subfield code="2">22</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Jazwinski, Andrew H.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Stochastic processes and filtering theory</subfield><subfield code="c">Anderew H. Jazwinski</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York</subfield><subfield code="b">Academic Press</subfield><subfield code="c">1970</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (376 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Mathematics in science and engineering</subfield><subfield code="v">64</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="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</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and indexes</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Front Cover; Stochastic Processes and Filtering Theory; Copyright Page; Preface; Acknowledgments; Contents; Chapter 1 Introduction; Chapter 2 Probability Theory and Random Variables; Chapter 3 Stochastic Processes; Chapter 4 Stochastic Differential Equations; Chapter 5 Introduction to Filtering Theory; Chapter 6 Nonlinear Filtering Theory; Chapter 7 Linear Filtering Theory; Chapter 8 Applications of Linear Theory; Chapter 9 Approximate Nonlinear Filters; Author Index; Subject Index</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">MATHEMATICS / Probability & Statistics / General</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Bayesian statistical decision theory</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Estimation theory</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Estimation theory</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bayesian statistical decision theory</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Filter</subfield><subfield code="g">Stochastik</subfield><subfield code="0">(DE-588)4128590-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Filterung</subfield><subfield code="g">Stochastik</subfield><subfield code="0">(DE-588)4121267-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Filtertheorie</subfield><subfield code="0">(DE-588)4154392-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Stochastischer Prozess</subfield><subfield code="0">(DE-588)4057630-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Filter</subfield><subfield code="g">Mathematik</subfield><subfield code="0">(DE-588)4154388-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Filter</subfield><subfield code="g">Mathematik</subfield><subfield code="0">(DE-588)4154388-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Stochastischer Prozess</subfield><subfield code="0">(DE-588)4057630-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Filtertheorie</subfield><subfield code="0">(DE-588)4154392-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="1"><subfield code="a">Stochastischer Prozess</subfield><subfield code="0">(DE-588)4057630-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="2" ind2="0"><subfield code="a">Stochastischer Prozess</subfield><subfield code="0">(DE-588)4057630-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2="1"><subfield code="a">Filter</subfield><subfield code="g">Stochastik</subfield><subfield code="0">(DE-588)4128590-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2=" "><subfield code="8">3\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="3" ind2="0"><subfield code="a">Filterung</subfield><subfield code="g">Stochastik</subfield><subfield code="0">(DE-588)4121267-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="3" ind2=" "><subfield code="8">4\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=297093</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-EBA</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">3\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">4\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-028468634</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=297093</subfield><subfield code="l">DE-1046</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FAW_PDA_EBA</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=297093</subfield><subfield code="l">DE-1047</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FAW_PDA_EBA</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV043044097 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-24T04:40:02Z |
| institution | BVB |
| isbn | 0080960901 9780080960906 9780123815507 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028468634 |
| oclc_num | 466443742 |
| open_access_boolean | |
| owner | DE-1046 DE-1047 |
| owner_facet | DE-1046 DE-1047 |
| physical | 1 Online-Ressource (376 pages) |
| psigel | ZDB-4-EBA ZDB-4-EBA FAW_PDA_EBA |
| publishDate | 1970 |
| publishDateSearch | 1970 |
| publishDateSort | 1970 |
| publisher | Academic Press |
| record_format | marc |
| series2 | Mathematics in science and engineering |
| spelling | Jazwinski, Andrew H. Verfasser aut Stochastic processes and filtering theory Anderew H. Jazwinski New York Academic Press 1970 1 Online-Ressource (376 pages) txt rdacontent c rdamedia cr rdacarrier Mathematics in science and engineering 64 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 Includes bibliographical references and indexes Front Cover; Stochastic Processes and Filtering Theory; Copyright Page; Preface; Acknowledgments; Contents; Chapter 1 Introduction; Chapter 2 Probability Theory and Random Variables; Chapter 3 Stochastic Processes; Chapter 4 Stochastic Differential Equations; Chapter 5 Introduction to Filtering Theory; Chapter 6 Nonlinear Filtering Theory; Chapter 7 Linear Filtering Theory; Chapter 8 Applications of Linear Theory; Chapter 9 Approximate Nonlinear Filters; Author Index; Subject Index 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 Filterung Stochastik (DE-588)4121267-8 gnd rswk-swf Filtertheorie (DE-588)4154392-0 gnd rswk-swf Stochastischer Prozess (DE-588)4057630-9 gnd rswk-swf Filter Mathematik (DE-588)4154388-9 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 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=297093 Aggregator Volltext 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 | Jazwinski, Andrew H. Stochastic processes and filtering theory 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 Filterung Stochastik (DE-588)4121267-8 gnd Filtertheorie (DE-588)4154392-0 gnd Stochastischer Prozess (DE-588)4057630-9 gnd Filter Mathematik (DE-588)4154388-9 gnd |
| subject_GND | (DE-588)4128590-6 (DE-588)4121267-8 (DE-588)4154392-0 (DE-588)4057630-9 (DE-588)4154388-9 |
| 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 Anderew H. Jazwinski |
| title_fullStr | Stochastic processes and filtering theory Anderew H. Jazwinski |
| title_full_unstemmed | Stochastic processes and filtering theory 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 Filterung Stochastik (DE-588)4121267-8 gnd Filtertheorie (DE-588)4154392-0 gnd Stochastischer Prozess (DE-588)4057630-9 gnd Filter Mathematik (DE-588)4154388-9 gnd |
| topic_facet | MATHEMATICS / Probability & Statistics / General Bayesian statistical decision theory Estimation theory Filter Stochastik Filterung Stochastik Filtertheorie Stochastischer Prozess Filter Mathematik |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=297093 |
| work_keys_str_mv | AT jazwinskiandrewh stochasticprocessesandfilteringtheory |