Linear models: a mean model approach
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
San Diego
Academic Press
1996
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| Series: | Probability and mathematical statistics
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| Subjects: | |
| Item Description: | Print version record |
| Physical Description: | 1 online resource (xii, 228 pages) |
| ISBN: | 058549214X 9780585492148 9780125084659 012508465X 0080510299 9780080510293 |
Staff View
MARC
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| 100 | 1 | |a Moser, Barry Kurt |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Linear models |b a mean model approach |c Barry Kurt Moser |
| 264 | 1 | |a San Diego |b Academic Press |c 1996 | |
| 300 | |a 1 online resource (xii, 228 pages) | ||
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| 490 | 0 | |a Probability and mathematical statistics | |
| 500 | |a Print version record | ||
| 505 | 8 | |a Linear models, normally presented in a highly theoretical and mathematical style, are brought down to earth in this comprehensive textbook. Linear Models examines the subject from a mean model perspective, defining simple and easy-to-learn rules for building mean models, regression models, mean vectors, covariance matrices and sums of squares matrices for balanced and unbalanced data sets. The author includes both applied and theoretical discussions of the multivariate normal distribution, quadratic forms, maximum likelihood estimation, less than full rank models, and general mixed models. The mean model is used to bring all of these topics together in a coherent presentation of linear model theory. Key Features * Provides a versatile format for investigating linear model theory, using the mean model * Uses examples that are familiar to the student: * design of experiments, analysis of variance, regression, and normal distribution theory * Includes a review of relevant linear algebra concepts * Contains fully worked examples which follow the theorem/proof presentation | |
| 650 | 7 | |a MATHEMATICS / Probability & Statistics / Multivariate Analysis |2 bisacsh | |
| 650 | 7 | |a Linear models (Statistics) |2 fast | |
| 650 | 7 | |a Lineaire modellen |2 gtt | |
| 650 | 7 | |a Modeles lineaires (statistique) |2 ram | |
| 650 | 7 | |a Moyenne |2 ram | |
| 650 | 7 | |a Formes quadratiques |2 ram | |
| 650 | 7 | |a Analyse de regression / Moindres carres |2 ram | |
| 650 | 7 | |a Statistique mathematique |2 ram | |
| 650 | 7 | |a Estimation, Theorie de l' |2 ram | |
| 650 | 7 | |a Programmation (mathematiques) |2 ram | |
| 650 | 4 | |a Linear models (Statistics) | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Moser, Barry Kurt |t Linear models |d San Diego : Academic Press, 1996 |z 012508465X |
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Record in the Search Index
| _version_ | 1804179157268037632 |
|---|---|
| any_adam_object | |
| author | Moser, Barry Kurt |
| author_facet | Moser, Barry Kurt |
| author_role | aut |
| author_sort | Moser, Barry Kurt |
| author_variant | b k m bk bkm |
| building | Verbundindex |
| bvnumber | BV045341012 |
| classification_rvk | SK 830 |
| collection | ZDB-4-ENC |
| contents | Linear models, normally presented in a highly theoretical and mathematical style, are brought down to earth in this comprehensive textbook. Linear Models examines the subject from a mean model perspective, defining simple and easy-to-learn rules for building mean models, regression models, mean vectors, covariance matrices and sums of squares matrices for balanced and unbalanced data sets. The author includes both applied and theoretical discussions of the multivariate normal distribution, quadratic forms, maximum likelihood estimation, less than full rank models, and general mixed models. The mean model is used to bring all of these topics together in a coherent presentation of linear model theory. Key Features * Provides a versatile format for investigating linear model theory, using the mean model * Uses examples that are familiar to the student: * design of experiments, analysis of variance, regression, and normal distribution theory * Includes a review of relevant linear algebra concepts * Contains fully worked examples which follow the theorem/proof presentation |
| ctrlnum | (ZDB-4-ENC)ocm54379581 (OCoLC)54379581 (DE-599)BVBBV045341012 |
| dewey-full | 519.5/35 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5/35 |
| dewey-search | 519.5/35 |
| dewey-sort | 3519.5 235 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| format | Electronic eBook |
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| id | DE-604.BV045341012 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:15:24Z |
| institution | BVB |
| isbn | 058549214X 9780585492148 9780125084659 012508465X 0080510299 9780080510293 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030727715 |
| oclc_num | 54379581 |
| open_access_boolean | |
| physical | 1 online resource (xii, 228 pages) |
| psigel | ZDB-4-ENC |
| publishDate | 1996 |
| publishDateSearch | 1996 |
| publishDateSort | 1996 |
| publisher | Academic Press |
| record_format | marc |
| series2 | Probability and mathematical statistics |
| spelling | Moser, Barry Kurt Verfasser aut Linear models a mean model approach Barry Kurt Moser San Diego Academic Press 1996 1 online resource (xii, 228 pages) txt rdacontent c rdamedia cr rdacarrier Probability and mathematical statistics Print version record Linear models, normally presented in a highly theoretical and mathematical style, are brought down to earth in this comprehensive textbook. Linear Models examines the subject from a mean model perspective, defining simple and easy-to-learn rules for building mean models, regression models, mean vectors, covariance matrices and sums of squares matrices for balanced and unbalanced data sets. The author includes both applied and theoretical discussions of the multivariate normal distribution, quadratic forms, maximum likelihood estimation, less than full rank models, and general mixed models. The mean model is used to bring all of these topics together in a coherent presentation of linear model theory. Key Features * Provides a versatile format for investigating linear model theory, using the mean model * Uses examples that are familiar to the student: * design of experiments, analysis of variance, regression, and normal distribution theory * Includes a review of relevant linear algebra concepts * Contains fully worked examples which follow the theorem/proof presentation MATHEMATICS / Probability & Statistics / Multivariate Analysis bisacsh Linear models (Statistics) fast Lineaire modellen gtt Modeles lineaires (statistique) ram Moyenne ram Formes quadratiques ram Analyse de regression / Moindres carres ram Statistique mathematique ram Estimation, Theorie de l' ram Programmation (mathematiques) ram Linear models (Statistics) Erscheint auch als Druck-Ausgabe Moser, Barry Kurt Linear models San Diego : Academic Press, 1996 012508465X |
| spellingShingle | Moser, Barry Kurt Linear models a mean model approach Linear models, normally presented in a highly theoretical and mathematical style, are brought down to earth in this comprehensive textbook. Linear Models examines the subject from a mean model perspective, defining simple and easy-to-learn rules for building mean models, regression models, mean vectors, covariance matrices and sums of squares matrices for balanced and unbalanced data sets. The author includes both applied and theoretical discussions of the multivariate normal distribution, quadratic forms, maximum likelihood estimation, less than full rank models, and general mixed models. The mean model is used to bring all of these topics together in a coherent presentation of linear model theory. Key Features * Provides a versatile format for investigating linear model theory, using the mean model * Uses examples that are familiar to the student: * design of experiments, analysis of variance, regression, and normal distribution theory * Includes a review of relevant linear algebra concepts * Contains fully worked examples which follow the theorem/proof presentation MATHEMATICS / Probability & Statistics / Multivariate Analysis bisacsh Linear models (Statistics) fast Lineaire modellen gtt Modeles lineaires (statistique) ram Moyenne ram Formes quadratiques ram Analyse de regression / Moindres carres ram Statistique mathematique ram Estimation, Theorie de l' ram Programmation (mathematiques) ram Linear models (Statistics) |
| title | Linear models a mean model approach |
| title_auth | Linear models a mean model approach |
| title_exact_search | Linear models a mean model approach |
| title_full | Linear models a mean model approach Barry Kurt Moser |
| title_fullStr | Linear models a mean model approach Barry Kurt Moser |
| title_full_unstemmed | Linear models a mean model approach Barry Kurt Moser |
| title_short | Linear models |
| title_sort | linear models a mean model approach |
| title_sub | a mean model approach |
| topic | MATHEMATICS / Probability & Statistics / Multivariate Analysis bisacsh Linear models (Statistics) fast Lineaire modellen gtt Modeles lineaires (statistique) ram Moyenne ram Formes quadratiques ram Analyse de regression / Moindres carres ram Statistique mathematique ram Estimation, Theorie de l' ram Programmation (mathematiques) ram Linear models (Statistics) |
| topic_facet | MATHEMATICS / Probability & Statistics / Multivariate Analysis Linear models (Statistics) Lineaire modellen Modeles lineaires (statistique) Moyenne Formes quadratiques Analyse de regression / Moindres carres Statistique mathematique Estimation, Theorie de l' Programmation (mathematiques) |
| work_keys_str_mv | AT moserbarrykurt linearmodelsameanmodelapproach |