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Añadir al carritoPaperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Añadir al carritoPaperback. Condición: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Idioma: Inglés
Publicado por Springer London Ltd, GB, 2010
ISBN 10: 184882968X ISBN 13: 9781848829688
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Añadir al carritoPaperback. Condición: New.
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Librería: Libro Co. Italia Srl, San Casciano Val di Pesa, FI, Italia
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Añadir al carritoBrossura. Condición: fine. Heidelberg, 2010; pp. 300. Libro.
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Añadir al carritoCondición: New. pp. 300.
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Regression is the branch of Statistics in which a dependent variable of interest is modelled as a linear combination of one or more predictor variables, together with a random error. The subject is inherently two- or higher- dimensional, thus an understanding of Statistics in one dimension is essential.Regression: Linear Models in Statistics fills the gap between introductory statistical theory and more specialist sources of information. In doing so, it provides the reader with a number of worked examples, and exercises with full solutions.The book begins with simple linear regression (one predictor variable), and analysis of variance (ANOVA), and then further explores the area through inclusion of topics such as multiple linear regression (several predictor variables) and analysis of covariance (ANCOVA). The book concludes with special topics such as non-parametric regression and mixed models, time series, spatial processes and design of experiments.Aimed at 2nd and 3rd year undergraduates studying Statistics, Regression: Linear Models in Statistics requires a basic knowledge of (one-dimensional) Statistics, as well as Probability and standard Linear Algebra. Possible companions include John Haigh's Probability Models, and T. S. Blyth & E.F. Robertsons' Basic Linear Algebra and Further Linear Algebra.
Librería: preigu, Osnabrück, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Regression | Linear Models in Statistics | N. H. Bingham (u. a.) | Taschenbuch | xiii | Englisch | 2010 | Springer Nature B.V. | EAN 9781848829688 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Publicado por Springer London Ltd, GB, 2010
ISBN 10: 184882968X ISBN 13: 9781848829688
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Añadir al carritoPaperback. Condición: New.
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
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Añadir al carritoCondición: New. Print on Demand pp. 300 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
Idioma: Inglés
Publicado por SPRINGER LONDON Sep 2010, 2010
ISBN 10: 184882968X ISBN 13: 9781848829688
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Regression is the branch of Statistics in which a dependent variable of interest is modelled as a linear combination of one or more predictor variables, together with a random error. The subject is inherently two- or higher- dimensional, thus an understanding of Statistics in one dimension is essential.Regression: Linear Models in Statistics fills the gap between introductory statistical theory and more specialist sources of information. In doing so, it provides the reader with a number of worked examples, and exercises with full solutions.The book begins with simple linear regression (one predictor variable), and analysis of variance (ANOVA), and then further explores the area through inclusion of topics such as multiple linear regression (several predictor variables) and analysis of covariance (ANCOVA). The book concludes with special topics such as non-parametric regression and mixed models, time series, spatial processes and design of experiments.Aimed at 2nd and 3rd year undergraduates studying Statistics, Regression: Linear Models in Statistics requires a basic knowledge of (one-dimensional) Statistics, as well as Probability and standard Linear Algebra. Possible companions include John Haigh's Probability Models, and T. S. Blyth & E.F. Robertsons' Basic Linear Algebra and Further Linear Algebra. 284 pp. Englisch.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 56,93
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 300.
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A self-contained, mathematical introduction to the development and theory of linear models aimed primarily at undergraduate students of mathematics.The clear and concise exposition is supported by a wealth of worked examples and exercises - with full soluti.