Linear regression analysis / G.A.F. Seber.
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transparent Author: Seber, G. A. F. (George Arthur Frederick), 1938- https://id.oclc​.org/worldcat/e​ntity/E39PBJhGY​wJVHGDH8BW98xCY​T3
transparent Title Statement: Linear regression analysis / G.A.F. Seber.
transparent Published: New York : John Wiley & Sons, ©1977.
transparent Description: xvii, 465 pages : illustrations ; 24 cm
transparent Series: (Wiley series in probability and mathematical statistics. Probability and mathematical statistics)
transparent ISBN: ISBN 0471019674
transparent ISBN 9780471019671
transparent General Note: Author was a Professor of Statistics and head of the Mathematics Dept. at Auckland University at the time of publication.
transparent Bibliography Note: Includes bibliographical references (pages 433-457) and index.
transparent Contents Note: Contents: 1. Vectors of random variables -- 2. Multivariate normal distribution -- 3. Linear regression: estimation and distribution theory -- 4. Linear regression: hypothesis testing -- 5. Confidence intervals and regions -- 6. Departures from underlying assumptions -- 7. Straight-line regression -- 8. Polynomial regression -- 9. Analysis of variance -- 10. Analysis of covariance and missing observations -- 11. Computational techniques for fitting a specified regression -- 12. Choosing the "best" regression.
transparent Summary, Etc. Note: Abstract: This book explains the theory and application of research techniques used in linar regression analysis. Dr. Seber gives a full discussion on the assumptions underlying regression models, and presents a variety of graphic and computational techniques for investigating these assumptions. His geometric approach enables the reader to deal with full rank and less than full rank models at the same time, and he varies the material by using the theory of generalized inverses to explain other approaches. Seber gives special attention to cases in straight-line and polynomial regression, analysis of variance and co-variance models associated with experimental designs in a theoretical framework. He also includes a number of topics which are usually omitted from most books, but are important in this area: optimal design, ridge estimators, two-phase regression, spline functions, and missing observations-​with up-to-date sources of the literature available in these areas. Over 200 carefully selected problems, outline solutions, a reference bibliography, and appendices make this one of the most useful and informative books available on the subject of linear regression.
transparent Local Note: NWRCCatalogISO2​0250428
transparent Additional Physical Forms: Online version: Seber, G.A.F. (George Arthur Frederick), 1938- Linear regression analysis. New York : Wiley, ©1977 (OCoLC)62236761​8
transparent Elect. Loc./Access: Table of contents http://catdir.l​oc.gov/catdir/t​oc/onix01/76040​117.html
transparent Table of contents http://www.gbv.​de/dms/bowker/t​oc/978047101967​1.pdf
transparent Contributor biographical information http://catdir.l​oc.gov/catdir/e​nhancements/fy0​607/76040117-​b.html
transparent Publisher description http://catdir.l​oc.gov/catdir/e​nhancements/fy0​607/76040117-​d.html
transparent Subject: Regression analysis.
transparent Statistics.
transparent Statistics as Topic
transparent Regression Analysis
transparent Regression analysis.
transparent Statistical analysis.
transparent Linear models.
transparent Statistics.
transparent Analyse de régression.
transparent Statistiques.
transparent Statistique.
transparent Statistics. aat
transparent Statistics fast
transparent Regression analysis fast
transparent Lineare Regression gnd
transparent Regressionsanal​yse gnd
transparent Regression analysis. nli
transparent Modèles linéaires (statistique) (RERO)A02101391​6 rero
transparent régression (statistique) (RERO)A01013930​0 rerovoc
transparent Index - Uncontrolled: Regression analysis
transparent Index - Genre/Form: Einführung gnd-content
transparent Series Added Entry: Wiley series in probability and mathematical statistics. Probability and mathematical statistics.

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