ISBN: 9780367572037 - Linear Models and the Relevant Distributions and Matrix Algebra (chapman & Hall/crc Texts in Statistical Science) (20 results)

Language: English
Published by Chapman and Hall/CRC, 2020
Series: Book 50 of 126 - Chapman & Hall/CRC Texts in Statistical Science
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Published by Chapman and Hall/CRC 2020-06-30, 2020
Series: Book 50 of 126 - Chapman & Hall/CRC Texts in Statistical Science
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Published by Chapman and Hall/CRC, 2020
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- Softcover
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Language: English
Published by Chapman and Hall/CRC, 2020
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Published by Chapman and Hall/CRC, 2020
Series: Book 50 of 126 - Chapman & Hall/CRC Texts in Statistical Science
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Published by Chapman and Hall/CRC, 2020
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Language: English
Published by Chapman and Hall/CRC, 2020
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Language: English
Published by Chapman and Hall/CRC, 2020
Series: Book 50 of 126 - Chapman & Hall/CRC Texts in Statistical Science
- Softcover
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Language: English
Published by Taylor and Francis Ltd, GB, 2020
Series: Book 50 of 126 - Chapman & Hall/CRC Texts in Statistical Science
- Softcover
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Paperback. Condition: New. Linear Models and the Relevant Distributions and Matrix Algebra provides in-depth and detailed coverage of the use of linear statistical models as a basis for parametric and predictive inference. It can be a valuable reference, a primary or secondary text in a graduate-level course on linear models, or a resource used (in a course on mathematical statistics) to illustrate various theoretical concepts in the context of a relatively complex setting of great practical importance.Features:Provides coverage of matrix algebra that is extensive and relatively self-contained and does so in a meaningful contexProvides thorough coverage of the relevant statistical distributions, including spherically and elliptically symmetric distributionsIncludes extensive coverage of multiple-comparison procedures (and of simultaneous confidence intervals), including procedures for controlling the k-FWER and the FDRProvides thorough coverage (complete with detailed and highly accessible proofs) of results on the properties of various linear-model procedures, including those of least squares estimators and those of the F test.Features the use of real data sets for illustrative purposesIncludes many exercises.…

Language: English
Published by Chapman and Hall/CRC, 2020
Series: Book 50 of 126 - Chapman & Hall/CRC Texts in Statistical Science
- Softcover
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Published by Taylor & Francis Ltd, 2020
Series: Book 50 of 126 - Chapman & Hall/CRC Texts in Statistical Science
- Softcover
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Published by CRC Press, 2020
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Language: English
Published by Taylor & Francis, 2020
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- Softcover
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More imagesLanguage: English
Published by Chapman and Hall/CRC, 2020
Series: Book 50 of 126 - Chapman & Hall/CRC Texts in Statistical Science
- Softcover
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Taschenbuch. Condition: Neu. Linear Models and the Relevant Distributions and Matrix Algebra | David A. Harville | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Chapman and Hall/CRC | EAN 9780367572037 | Verantwortliche Person für die EU: Taylor and Francis, Taylor & Francis Verlag Gmbh, Kaufingerstr 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu.…

Language: English
Published by Taylor and Francis Ltd, GB, 2020
Series: Book 50 of 126 - Chapman & Hall/CRC Texts in Statistical Science
- Softcover
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Paperback. Condition: New. Linear Models and the Relevant Distributions and Matrix Algebra provides in-depth and detailed coverage of the use of linear statistical models as a basis for parametric and predictive inference. It can be a valuable reference, a primary or secondary text in a graduate-level course on linear models, or a resource used (in a course on mathematical statistics) to illustrate various theoretical concepts in the context of a relatively complex setting of great practical importance.Features:Provides coverage of matrix algebra that is extensive and relatively self-contained and does so in a meaningful contexProvides thorough coverage of the relevant statistical distributions, including spherically and elliptically symmetric distributionsIncludes extensive coverage of multiple-comparison procedures (and of simultaneous confidence intervals), including procedures for controlling the k-FWER and the FDRProvides thorough coverage (complete with detailed and highly accessible proofs) of results on the properties of various linear-model procedures, including those of least squares estimators and those of the F test.Features the use of real data sets for illustrative purposesIncludes many exercises.…

Language: English
Published by Chapman and Hall/CRC 2020-06, 2020
Series: Book 50 of 126 - Chapman & Hall/CRC Texts in Statistical Science
- Softcover
- Print on Demand
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Language: English
Published by CRC Press, 2020
Series: Book 50 of 126 - Chapman & Hall/CRC Texts in Statistical Science
- Softcover
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Language: English
Published by CRC Press, 2020
Series: Book 50 of 126 - Chapman & Hall/CRC Texts in Statistical Science
- Softcover
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Language: English
Published by Chapman And Hall/CRC Jun 2020, 2020
Series: Book 50 of 126 - Chapman & Hall/CRC Texts in Statistical Science
- Softcover
- Print on Demand
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Linear Models and the Relevant Distributions and Matrix Algebra provides in-depth and detailed coverage of the use of linear statistical models as a basis for parametric and predictive inference. It can be a valuable reference, a primary or secondary text in a graduate-level course on linear models, or a resource used (in a course on mathematical statistics) to illustrate various theoretical concepts in the context of a relatively complex setting of great practical importance.Features: Provides coverage of matrix algebra that is extensive and relatively self-contained and does so in a meaningful contex Provides thorough coverage of the relevant statistical distributions, including spherically and elliptically symmetric distributions Includes extensive coverage of multiple-comparison procedures (and of simultaneous confidence intervals), including procedures for controlling the k-FWER and the FDR Provides thorough coverage (complete with detailed and highly accessible proofs) of results on the properties of various linear-model procedures, including those of least squares estimators and those of the F test. Features the use of real data sets for illustrative purposes Includes many exercises 540 pp. Englisch.…

Language: English
Published by Chapman And Hall/CRC, 2020
Series: Book 50 of 126 - Chapman & Hall/CRC Texts in Statistical Science
- Softcover
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Linear Models and the Relevant Distributions and Matrix Algebra provides in-depth and detailed coverage of the use of linear statistical models as a basis for parametric and predictive inference. It can be a valuable reference, a primary or secondary text in a graduate-level course on linear models, or a resource used (in a course on mathematical statistics) to illustrate various theoretical concepts in the context of a relatively complex setting of great practical importance.Features: Provides coverage of matrix algebra that is extensive and relatively self-contained and does so in a meaningful contex Provides thorough coverage of the relevant statistical distributions, including spherically and elliptically symmetric distributions Includes extensive coverage of multiple-comparison procedures (and of simultaneous confidence intervals), including procedures for controlling the k-FWER and the FDR Provides thorough coverage (complete with detailed and highly accessible proofs) of results on the properties of various linear-model procedures, including those of least squares estimators and those of the F test. Features the use of real data sets for illustrative purposes Includes many exercises.…