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008 760807s1977 nyua b 001 0 eng
020 _a0471019674
020 _a9780471019671
029 1 _aNLGGC
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035 _a(OCoLC)ocm02401871
035 _a(OCoLC)2401871
040 _aDLC
_cDLC
_bspa
041 _aspa
049 _aGRAL
050 0 0 _aQA 278.2
_bS443l 1977
082 0 0 _a519.536
084 _a31.73
_2bcl
100 1 _aSeber, G. A. F.
_q(George Arthur Frederick),
_d1938-
245 1 0 _aLinear regression analysis /
_cG. A. F. Seber.
260 _aNew York :
_bWiley,
_cc1977.
300 _axvii, 465 p. :
_bill. ;
_c24 cm.
490 0 _aWiley series in probability and mathematical statistics
500 _aIncludes index.
504 _aBibliography: p. 433-457.
505 0 _a1. 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.
520 _aThis 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.
650 0 _aRegression analysis.
650 6 _aAnalyse de râegression.
650 4 _aAnálisis de regresión
_97472
856 4 _3Table of Contents only
_uhttp://www.loc.gov/catdir/toc/onix01/76040117.html
856 4 2 _3Contributor biographical information
_uhttp://www.loc.gov/catdir/enhancements/fy0607/76040117-b.html
856 4 2 _3Publisher description
_uhttp://www.loc.gov/catdir/enhancements/fy0607/76040117-d.html
942 _2lcc
_cBK
946 _aLD