An introduction to discrete-valued time series:
A much-needed introduction to the field of discrete-valued time series, with a focus on count-data time series Time series analysis is an essential tool in a wide array of fields, including business, economics, computer science, epidemiology, finance, manufacturing and meteorology, to name just a fe...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hoboken, NJ
John Wiley & Sons
2018
|
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781119096962/?ar |
| Summary: | A much-needed introduction to the field of discrete-valued time series, with a focus on count-data time series Time series analysis is an essential tool in a wide array of fields, including business, economics, computer science, epidemiology, finance, manufacturing and meteorology, to name just a few. Despite growing interest in discrete-valued time series--especially those arising from counting specific objects or events at specified times--most books on time series give short shrift to that increasingly important subject area. This book seeks to rectify that state of affairs by providing a much needed introduction to discrete-valued time series, with particular focus on count-data time series. The main focus of this book is on modeling. Throughout numerous examples are provided illustrating models currently used in discrete-valued time series applications. Statistical process control, including various control charts (such as cumulative sum control charts), and performance evaluation are treated at length. Classic approaches like ARMA models and the Box-Jenkins program are also featured with the basics of these approaches summarized in an Appendix. In addition, data examples, with all relevant R code, are available on a companion website. Provides a balanced presentation of theory and practice, exploring both categorical and integer-valued series Covers common models for time series of counts as well as for categorical time series, and works out their most important stochastic properties Addresses statistical approaches for analyzing discrete-valued time series and illustrates their implementation with numerous data examples Covers classical approaches such as ARMA models, Box-Jenkins program and how to generate functions Includes dataset examples with all necessary R code provided on a companion website An Introduction to Discrete-Valued Time Series is a valuable working resource for researchers and practitioners in a broad range of fields, including statistics, data science, machine learning, and engineering. It will also be of interest to postgraduate students in statistics, mathematics and economics. |
| Item Description: | Includes bibliographical references. - Online resource; title from title page (viewed April 12, 2018) |
| Physical Description: | 1 Online-Ressource (1 volume) Illustrationen |
| ISBN: | 9781119096986 1119096987 9781119097013 1119097010 9781119096993 1119096995 1119096960 9781119096962 |
Staff View
MARC
| LEADER | 00000cam a22000002c 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-047551305 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228120457.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 191023s2018 xx |||||o 00| ||eng c | ||
| 020 | |a 9781119096986 |9 978-1-119-09698-6 | ||
| 020 | |a 1119096987 |9 1-119-09698-7 | ||
| 020 | |a 9781119097013 |9 978-1-119-09701-3 | ||
| 020 | |a 1119097010 |9 1-119-09701-0 | ||
| 020 | |a 9781119096993 |9 978-1-119-09699-3 | ||
| 020 | |a 1119096995 |9 1-119-09699-5 | ||
| 020 | |a 1119096960 |9 1-119-09696-0 | ||
| 020 | |a 9781119096962 |9 978-1-119-09696-2 | ||
| 020 | |a 9781119096962 |9 978-1-119-09696-2 | ||
| 035 | |a (DE-627-1)047551305 | ||
| 035 | |a (DE-599)KEP047551305 | ||
| 035 | |a (ORHE)9781119096962 | ||
| 035 | |a (DE-627-1)047551305 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 519.5/5 |2 23 | |
| 100 | 1 | |a Weiss, Christian H. |d 1977- |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a An introduction to discrete-valued time series |c Christian H. Weiss |
| 264 | 1 | |a Hoboken, NJ |b John Wiley & Sons |c 2018 | |
| 300 | |a 1 Online-Ressource (1 volume) |b Illustrationen | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Includes bibliographical references. - Online resource; title from title page (viewed April 12, 2018) | ||
| 520 | |a A much-needed introduction to the field of discrete-valued time series, with a focus on count-data time series Time series analysis is an essential tool in a wide array of fields, including business, economics, computer science, epidemiology, finance, manufacturing and meteorology, to name just a few. Despite growing interest in discrete-valued time series--especially those arising from counting specific objects or events at specified times--most books on time series give short shrift to that increasingly important subject area. This book seeks to rectify that state of affairs by providing a much needed introduction to discrete-valued time series, with particular focus on count-data time series. The main focus of this book is on modeling. Throughout numerous examples are provided illustrating models currently used in discrete-valued time series applications. Statistical process control, including various control charts (such as cumulative sum control charts), and performance evaluation are treated at length. Classic approaches like ARMA models and the Box-Jenkins program are also featured with the basics of these approaches summarized in an Appendix. In addition, data examples, with all relevant R code, are available on a companion website. Provides a balanced presentation of theory and practice, exploring both categorical and integer-valued series Covers common models for time series of counts as well as for categorical time series, and works out their most important stochastic properties Addresses statistical approaches for analyzing discrete-valued time series and illustrates their implementation with numerous data examples Covers classical approaches such as ARMA models, Box-Jenkins program and how to generate functions Includes dataset examples with all necessary R code provided on a companion website An Introduction to Discrete-Valued Time Series is a valuable working resource for researchers and practitioners in a broad range of fields, including statistics, data science, machine learning, and engineering. It will also be of interest to postgraduate students in statistics, mathematics and economics. | ||
| 650 | 0 | |a Time-series analysis | |
| 650 | 0 | |a Discrete-time systems |x Mathematical models | |
| 650 | 4 | |a Série chronologique | |
| 650 | 4 | |a Systèmes échantillonnés ; Modèles mathématiques | |
| 650 | 4 | |a Discrete-time systems ; Mathematical models | |
| 650 | 4 | |a Time-series analysis | |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781119096962/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Record in the Search Index
| DE-BY-TUM_katkey | ZDB-30-ORH-047551305 |
|---|---|
| _version_ | 1831287098462699520 |
| adam_text | |
| any_adam_object | |
| author | Weiss, Christian H. 1977- |
| author_facet | Weiss, Christian H. 1977- |
| author_role | aut |
| author_sort | Weiss, Christian H. 1977- |
| author_variant | c h w ch chw |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)047551305 (DE-599)KEP047551305 (ORHE)9781119096962 |
| dewey-full | 519.5/5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5/5 |
| dewey-search | 519.5/5 |
| dewey-sort | 3519.5 15 |
| 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>03986cam a22005052c 4500</leader><controlfield tag="001">ZDB-30-ORH-047551305</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228120457.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">191023s2018 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781119096986</subfield><subfield code="9">978-1-119-09698-6</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1119096987</subfield><subfield code="9">1-119-09698-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781119097013</subfield><subfield code="9">978-1-119-09701-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1119097010</subfield><subfield code="9">1-119-09701-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781119096993</subfield><subfield code="9">978-1-119-09699-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1119096995</subfield><subfield code="9">1-119-09699-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1119096960</subfield><subfield code="9">1-119-09696-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781119096962</subfield><subfield code="9">978-1-119-09696-2</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781119096962</subfield><subfield code="9">978-1-119-09696-2</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047551305</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP047551305</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781119096962</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047551305</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">519.5/5</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Weiss, Christian H.</subfield><subfield code="d">1977-</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">An introduction to discrete-valued time series</subfield><subfield code="c">Christian H. Weiss</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hoboken, NJ</subfield><subfield code="b">John Wiley & Sons</subfield><subfield code="c">2018</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (1 volume)</subfield><subfield code="b">Illustrationen</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references. - Online resource; title from title page (viewed April 12, 2018)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">A much-needed introduction to the field of discrete-valued time series, with a focus on count-data time series Time series analysis is an essential tool in a wide array of fields, including business, economics, computer science, epidemiology, finance, manufacturing and meteorology, to name just a few. Despite growing interest in discrete-valued time series--especially those arising from counting specific objects or events at specified times--most books on time series give short shrift to that increasingly important subject area. This book seeks to rectify that state of affairs by providing a much needed introduction to discrete-valued time series, with particular focus on count-data time series. The main focus of this book is on modeling. Throughout numerous examples are provided illustrating models currently used in discrete-valued time series applications. Statistical process control, including various control charts (such as cumulative sum control charts), and performance evaluation are treated at length. Classic approaches like ARMA models and the Box-Jenkins program are also featured with the basics of these approaches summarized in an Appendix. In addition, data examples, with all relevant R code, are available on a companion website. Provides a balanced presentation of theory and practice, exploring both categorical and integer-valued series Covers common models for time series of counts as well as for categorical time series, and works out their most important stochastic properties Addresses statistical approaches for analyzing discrete-valued time series and illustrates their implementation with numerous data examples Covers classical approaches such as ARMA models, Box-Jenkins program and how to generate functions Includes dataset examples with all necessary R code provided on a companion website An Introduction to Discrete-Valued Time Series is a valuable working resource for researchers and practitioners in a broad range of fields, including statistics, data science, machine learning, and engineering. It will also be of interest to postgraduate students in statistics, mathematics and economics.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Time-series analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Discrete-time systems</subfield><subfield code="x">Mathematical models</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Série chronologique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Systèmes échantillonnés ; Modèles mathématiques</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Discrete-time systems ; Mathematical models</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Time-series analysis</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781119096962/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-047551305 |
| illustrated | Not Illustrated |
| indexdate | 2025-05-05T13:24:31Z |
| institution | BVB |
| isbn | 9781119096986 1119096987 9781119097013 1119097010 9781119096993 1119096995 1119096960 9781119096962 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (1 volume) Illustrationen |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | John Wiley & Sons |
| record_format | marc |
| spelling | Weiss, Christian H. 1977- VerfasserIn aut An introduction to discrete-valued time series Christian H. Weiss Hoboken, NJ John Wiley & Sons 2018 1 Online-Ressource (1 volume) Illustrationen Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references. - Online resource; title from title page (viewed April 12, 2018) A much-needed introduction to the field of discrete-valued time series, with a focus on count-data time series Time series analysis is an essential tool in a wide array of fields, including business, economics, computer science, epidemiology, finance, manufacturing and meteorology, to name just a few. Despite growing interest in discrete-valued time series--especially those arising from counting specific objects or events at specified times--most books on time series give short shrift to that increasingly important subject area. This book seeks to rectify that state of affairs by providing a much needed introduction to discrete-valued time series, with particular focus on count-data time series. The main focus of this book is on modeling. Throughout numerous examples are provided illustrating models currently used in discrete-valued time series applications. Statistical process control, including various control charts (such as cumulative sum control charts), and performance evaluation are treated at length. Classic approaches like ARMA models and the Box-Jenkins program are also featured with the basics of these approaches summarized in an Appendix. In addition, data examples, with all relevant R code, are available on a companion website. Provides a balanced presentation of theory and practice, exploring both categorical and integer-valued series Covers common models for time series of counts as well as for categorical time series, and works out their most important stochastic properties Addresses statistical approaches for analyzing discrete-valued time series and illustrates their implementation with numerous data examples Covers classical approaches such as ARMA models, Box-Jenkins program and how to generate functions Includes dataset examples with all necessary R code provided on a companion website An Introduction to Discrete-Valued Time Series is a valuable working resource for researchers and practitioners in a broad range of fields, including statistics, data science, machine learning, and engineering. It will also be of interest to postgraduate students in statistics, mathematics and economics. Time-series analysis Discrete-time systems Mathematical models Série chronologique Systèmes échantillonnés ; Modèles mathématiques Discrete-time systems ; Mathematical models |
| spellingShingle | Weiss, Christian H. 1977- An introduction to discrete-valued time series Time-series analysis Discrete-time systems Mathematical models Série chronologique Systèmes échantillonnés ; Modèles mathématiques Discrete-time systems ; Mathematical models |
| title | An introduction to discrete-valued time series |
| title_auth | An introduction to discrete-valued time series |
| title_exact_search | An introduction to discrete-valued time series |
| title_full | An introduction to discrete-valued time series Christian H. Weiss |
| title_fullStr | An introduction to discrete-valued time series Christian H. Weiss |
| title_full_unstemmed | An introduction to discrete-valued time series Christian H. Weiss |
| title_short | An introduction to discrete-valued time series |
| title_sort | an introduction to discrete valued time series |
| topic | Time-series analysis Discrete-time systems Mathematical models Série chronologique Systèmes échantillonnés ; Modèles mathématiques Discrete-time systems ; Mathematical models |
| topic_facet | Time-series analysis Discrete-time systems Mathematical models Série chronologique Systèmes échantillonnés ; Modèles mathématiques Discrete-time systems ; Mathematical models |
| work_keys_str_mv | AT weisschristianh anintroductiontodiscretevaluedtimeseries |