03197cam a2200481 i 4500 87231 87231 BJBSDDR 20230410132746.0 ta 760807s1977 nyua b 001 0 eng 0471019674 9780471019671 NLGGC 770306004 NZ1 2709091 AU@ 000000772057 AU@ 000024629853 UNITY 056480598 HR0 0471019674 (OCoLC)ocm02401871 (OCoLC)2401871 DLC DLC spa spa GRAL QA 278.2 S443l 1977 519.536 31.73 bcl Seber, G. A. F. (George Arthur Frederick), 1938- Linear regression analysis / G. A. F. Seber. New York : Wiley, c1977. xvii, 465 p. : ill. ; 24 cm. Wiley series in probability and mathematical statistics Includes index. Bibliography: p. 433-457. 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. 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. Regression analysis. Analyse de râegression. Análisis de regresión 7472 Table of Contents only http://www.loc.gov/catdir/toc/onix01/76040117.html Contributor biographical information http://www.loc.gov/catdir/enhancements/fy0607/76040117-b.html Publisher description http://www.loc.gov/catdir/enhancements/fy0607/76040117-d.html lcc BK LD 0 0 0 0 HU BJB BJB HU 2023-04-10 0 QA 278.2 S443l 1977 00000067961 2018-10-25 00:00:00 1 2018-10-25 BK