Introductory statistics: a modelling approach
Introductory Statistics: A Modelling Approach has been written for the computer age, for the student who, as a medical, biological, or social scientist, will use computers and statistical techniques to design surveys or experiments and to analyse the resulting data. The aim therefore is to provide a...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Oxford
Clarendon Press
1995
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| Schriftenreihe: | Oxford science publications
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| Schlagworte: | |
| Zusammenfassung: | Introductory Statistics: A Modelling Approach has been written for the computer age, for the student who, as a medical, biological, or social scientist, will use computers and statistical techniques to design surveys or experiments and to analyse the resulting data. The aim therefore is to provide an understanding of the basic principles such as the probability distribution and the likelihood function, while at the same time giving advice at a practical level on how to design a study, collect data, record observations accurately, detect errors, and interpret the results Jim Lindsey has based this book on his introductory courses where the central theme is the use of statistical models as a way of describing the structure of data. The basic building block is the probability distribution, observed as a histogram. A model describes how such a distribution changes form in different sub-groups of a population. Moreover, the form of the distribution may itself indicate how the data were generated. Inference, from a sample to the population, centres on developing an understanding of how to interpret a likelihood function. A wide range of examples and exercises for the medical, biological, and social sciences are included |
| Beschreibung: | XI, 214 S. graph. Darst. |
| ISBN: | 0198523459 0198523467 |
Internformat
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| 520 | 3 | |a Introductory Statistics: A Modelling Approach has been written for the computer age, for the student who, as a medical, biological, or social scientist, will use computers and statistical techniques to design surveys or experiments and to analyse the resulting data. The aim therefore is to provide an understanding of the basic principles such as the probability distribution and the likelihood function, while at the same time giving advice at a practical level on how to design a study, collect data, record observations accurately, detect errors, and interpret the results | |
| 520 | |a Jim Lindsey has based this book on his introductory courses where the central theme is the use of statistical models as a way of describing the structure of data. The basic building block is the probability distribution, observed as a histogram. A model describes how such a distribution changes form in different sub-groups of a population. Moreover, the form of the distribution may itself indicate how the data were generated. Inference, from a sample to the population, centres on developing an understanding of how to interpret a likelihood function. A wide range of examples and exercises for the medical, biological, and social sciences are included | ||
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Datensatz im Suchindex
| _version_ | 1804125016832344064 |
|---|---|
| any_adam_object | |
| author | Lindsey, James K. |
| author_facet | Lindsey, James K. |
| author_role | aut |
| author_sort | Lindsey, James K. |
| author_variant | j k l jk jkl |
| building | Verbundindex |
| bvnumber | BV010548334 |
| callnumber-first | H - Social Science |
| callnumber-label | HA29 |
| callnumber-raw | HA29.L83113 1995 |
| callnumber-search | HA29.L83113 1995 |
| callnumber-sort | HA 229 L83113 41995 |
| callnumber-subject | HA - Statistics |
| classification_rvk | SK 830 SK 840 |
| ctrlnum | (OCoLC)32274967 (DE-599)BVBBV010548334 |
| dewey-full | 519.520 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 20 519.5 |
| dewey-search | 519.5 20 519.5 |
| dewey-sort | 3519.5 220 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Book |
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| id | DE-604.BV010548334 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T17:54:51Z |
| institution | BVB |
| isbn | 0198523459 0198523467 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007031021 |
| oclc_num | 32274967 |
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| physical | XI, 214 S. graph. Darst. |
| publishDate | 1995 |
| publishDateSearch | 1995 |
| publishDateSort | 1995 |
| publisher | Clarendon Press |
| record_format | marc |
| series2 | Oxford science publications |
| spelling | Lindsey, James K. Verfasser aut Introductory statistics a modelling approach J. K. Lindsey Oxford Clarendon Press 1995 XI, 214 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Oxford science publications Introductory Statistics: A Modelling Approach has been written for the computer age, for the student who, as a medical, biological, or social scientist, will use computers and statistical techniques to design surveys or experiments and to analyse the resulting data. The aim therefore is to provide an understanding of the basic principles such as the probability distribution and the likelihood function, while at the same time giving advice at a practical level on how to design a study, collect data, record observations accurately, detect errors, and interpret the results Jim Lindsey has based this book on his introductory courses where the central theme is the use of statistical models as a way of describing the structure of data. The basic building block is the probability distribution, observed as a histogram. A model describes how such a distribution changes form in different sub-groups of a population. Moreover, the form of the distribution may itself indicate how the data were generated. Inference, from a sample to the population, centres on developing an understanding of how to interpret a likelihood function. A wide range of examples and exercises for the medical, biological, and social sciences are included Analyse des données - Manuels d'enseignement supérieur ram Estatistica (textos introdutorios) larpcal Statistiek gtt Statistique mathématique - Manuels d'enseignement supérieur ram Sozialwissenschaften Statistik Social sciences -- Statistics Statistik (DE-588)4056995-0 gnd rswk-swf Statistik (DE-588)4056995-0 s DE-604 |
| spellingShingle | Lindsey, James K. Introductory statistics a modelling approach Analyse des données - Manuels d'enseignement supérieur ram Estatistica (textos introdutorios) larpcal Statistiek gtt Statistique mathématique - Manuels d'enseignement supérieur ram Sozialwissenschaften Statistik Social sciences -- Statistics Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4056995-0 |
| title | Introductory statistics a modelling approach |
| title_auth | Introductory statistics a modelling approach |
| title_exact_search | Introductory statistics a modelling approach |
| title_full | Introductory statistics a modelling approach J. K. Lindsey |
| title_fullStr | Introductory statistics a modelling approach J. K. Lindsey |
| title_full_unstemmed | Introductory statistics a modelling approach J. K. Lindsey |
| title_short | Introductory statistics |
| title_sort | introductory statistics a modelling approach |
| title_sub | a modelling approach |
| topic | Analyse des données - Manuels d'enseignement supérieur ram Estatistica (textos introdutorios) larpcal Statistiek gtt Statistique mathématique - Manuels d'enseignement supérieur ram Sozialwissenschaften Statistik Social sciences -- Statistics Statistik (DE-588)4056995-0 gnd |
| topic_facet | Analyse des données - Manuels d'enseignement supérieur Estatistica (textos introdutorios) Statistiek Statistique mathématique - Manuels d'enseignement supérieur Sozialwissenschaften Statistik Social sciences -- Statistics |
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