XploRe - learning guide:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2000
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | It is generally accepted that training in statistics must include some exposure to the mechanics of computational statistics. This learning guide is intended for beginners in computer-aided statistical data analysis. The prerequisites for XploRe - the statistical computing environment - are an introductory course in statistics or mathematics. The reader of this book should be familiar with basic elements of matrix algebra and the use of HTML browsers. This guide is designed to help students to XploRe their data, to learn (via data interaction) about statistical methods and to disseminate their findings via the HTML outlet. The XploRe APSS (Auto Pilot Support System) is a powerful tool for finding the appropriate statistical technique (quantlet) for the data under analysis. Homogeneous quantlets are combined in XploRe into quantlibs. The XploRe language is intuitive and users with prior experience of other sta tistical programs will find it easy to reproduce the examples explained in this guide. The quantlets in this guide are available on the CD-ROM as well as on the Internet. The statistical operations that the student is guided into range from basic one-dimensional data analysis to more complicated tasks such as time series analysis, multivariate graphics construction, microeconometrics, panel data analysis, etc. The guide starts with a simple data analysis of pullover sales data, then in troduces graphics. The graphics are interactive and cover a wide range of dis plays of statistical data |
| Beschreibung: | 1 Online-Ressource (IV, 526p) |
| ISBN: | 9783642602320 9783540662075 |
| DOI: | 10.1007/978-3-642-60232-0 |
Internformat
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| 500 | |a It is generally accepted that training in statistics must include some exposure to the mechanics of computational statistics. This learning guide is intended for beginners in computer-aided statistical data analysis. The prerequisites for XploRe - the statistical computing environment - are an introductory course in statistics or mathematics. The reader of this book should be familiar with basic elements of matrix algebra and the use of HTML browsers. This guide is designed to help students to XploRe their data, to learn (via data interaction) about statistical methods and to disseminate their findings via the HTML outlet. The XploRe APSS (Auto Pilot Support System) is a powerful tool for finding the appropriate statistical technique (quantlet) for the data under analysis. Homogeneous quantlets are combined in XploRe into quantlibs. The XploRe language is intuitive and users with prior experience of other sta tistical programs will find it easy to reproduce the examples explained in this guide. The quantlets in this guide are available on the CD-ROM as well as on the Internet. The statistical operations that the student is guided into range from basic one-dimensional data analysis to more complicated tasks such as time series analysis, multivariate graphics construction, microeconometrics, panel data analysis, etc. The guide starts with a simple data analysis of pullover sales data, then in troduces graphics. The graphics are interactive and cover a wide range of dis plays of statistical data | ||
| 650 | 4 | |a Statistics | |
| 650 | 4 | |a Mathematical statistics | |
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Datensatz im Suchindex
| _version_ | 1804153097685041152 |
|---|---|
| any_adam_object | |
| author | Härdle, Wolfgang |
| author_facet | Härdle, Wolfgang |
| author_role | aut |
| author_sort | Härdle, Wolfgang |
| author_variant | w h wh |
| building | Verbundindex |
| bvnumber | BV042422774 |
| classification_tum | MAT 000 |
| collection | ZDB-2-SMA ZDB-2-BAE |
| ctrlnum | (OCoLC)879621622 (DE-599)BVBBV042422774 |
| dewey-full | 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-3-642-60232-0 |
| format | Electronic eBook |
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| id | DE-604.BV042422774 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:12Z |
| institution | BVB |
| isbn | 9783642602320 9783540662075 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027858191 |
| oclc_num | 879621622 |
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| physical | 1 Online-Ressource (IV, 526p) |
| psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
| publishDate | 2000 |
| publishDateSearch | 2000 |
| publishDateSort | 2000 |
| publisher | Springer Berlin Heidelberg |
| record_format | marc |
| spelling | Härdle, Wolfgang Verfasser aut XploRe - learning guide by Wolfgang Härdle, Sigbert Klinke, Marlene Müller Berlin, Heidelberg Springer Berlin Heidelberg 2000 1 Online-Ressource (IV, 526p) txt rdacontent c rdamedia cr rdacarrier It is generally accepted that training in statistics must include some exposure to the mechanics of computational statistics. This learning guide is intended for beginners in computer-aided statistical data analysis. The prerequisites for XploRe - the statistical computing environment - are an introductory course in statistics or mathematics. The reader of this book should be familiar with basic elements of matrix algebra and the use of HTML browsers. This guide is designed to help students to XploRe their data, to learn (via data interaction) about statistical methods and to disseminate their findings via the HTML outlet. The XploRe APSS (Auto Pilot Support System) is a powerful tool for finding the appropriate statistical technique (quantlet) for the data under analysis. Homogeneous quantlets are combined in XploRe into quantlibs. The XploRe language is intuitive and users with prior experience of other sta tistical programs will find it easy to reproduce the examples explained in this guide. The quantlets in this guide are available on the CD-ROM as well as on the Internet. The statistical operations that the student is guided into range from basic one-dimensional data analysis to more complicated tasks such as time series analysis, multivariate graphics construction, microeconometrics, panel data analysis, etc. The guide starts with a simple data analysis of pullover sales data, then in troduces graphics. The graphics are interactive and cover a wide range of dis plays of statistical data Statistics Mathematical statistics Statistics and Computing/Statistics Programs Statistik CD-ROM (DE-588)4139307-7 gnd rswk-swf XploRe (DE-588)4381468-2 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Statistik (DE-588)4056995-0 s CD-ROM (DE-588)4139307-7 s 1\p DE-604 XploRe (DE-588)4381468-2 s 2\p DE-604 Klinke, Sigbert Sonstige oth Müller, Marlene Sonstige oth https://doi.org/10.1007/978-3-642-60232-0 Verlag 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 |
| spellingShingle | Härdle, Wolfgang XploRe - learning guide Statistics Mathematical statistics Statistics and Computing/Statistics Programs Statistik CD-ROM (DE-588)4139307-7 gnd XploRe (DE-588)4381468-2 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4139307-7 (DE-588)4381468-2 (DE-588)4056995-0 |
| title | XploRe - learning guide |
| title_auth | XploRe - learning guide |
| title_exact_search | XploRe - learning guide |
| title_full | XploRe - learning guide by Wolfgang Härdle, Sigbert Klinke, Marlene Müller |
| title_fullStr | XploRe - learning guide by Wolfgang Härdle, Sigbert Klinke, Marlene Müller |
| title_full_unstemmed | XploRe - learning guide by Wolfgang Härdle, Sigbert Klinke, Marlene Müller |
| title_short | XploRe - learning guide |
| title_sort | xplore learning guide |
| topic | Statistics Mathematical statistics Statistics and Computing/Statistics Programs Statistik CD-ROM (DE-588)4139307-7 gnd XploRe (DE-588)4381468-2 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Statistics Mathematical statistics Statistics and Computing/Statistics Programs Statistik CD-ROM XploRe |
| url | https://doi.org/10.1007/978-3-642-60232-0 |
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