01839nam a22003251i 450099100219918970753620030623184652.0030925s19uu be |||||||||||||||||lat b12255853-39ule_instARCHE-030346ExLBiblioteca InterfacoltàitaA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l.270.0922Gregorius<papa ;1.>330455Sancti Gregorii papae I cognomento magni Opera omnia :ad manuscriptos codices Romanos, Gallicanos, Anglicanos emendata, aucta, et illustrata notis ... /accurante J.-P. MigneEditio memoratissima quae Parisiis prodiit anno domini 1750 accurarior et auctior reviviscitTurnholti :Typographi Brepols editores pontificii,[19..]v. ;28 cmPatrologiae cursus completus omnium SS. patrum doctorum scriptorumque ecclesiasticorum sive Latinorum sive Graecorum ;75-76, 78-79ChiesaStoriaSec. 6.CristianesimoStoriaSec. 6.Migne, Jacques Paulauthorhttp://id.loc.gov/vocabulary/relators/aut297408.b1225585302-04-1408-10-03991002199189707536LE002 P.L. 75V. 112002000496492le002-E0.00-no 00000.i1264502308-10-03LE002 P.L. 78V. 212002000496515le002-E0.00-no 00000.i1264503508-10-03LE002 P.L. 79V. 312002000496522le002-E0.00-no 00000.i1264504708-10-03LE002 P.L. 76V. 212002000262745le002pE102.00-no 00000.i1306959702-02-04Sancti Gregorii papae I cognomento magni Opera omnia3370186UNISALENTOle00208-10-03ma -latbe 0305373nam 2200733Ia 450 991014131820332120200520144314.09786613618993978128058916412805891679780471431633047143163X9780471722199047172219797811182744221118274423(CKB)2670000000148267(EBL)848520(OCoLC)775437886(SSID)ssj0000622291(PQKBManifestationID)11388575(PQKBTitleCode)TC0000622291(PQKBWorkID)10655012(PQKB)10261312(MiAaPQ)EBC848520(Perlego)2763224(EXLCZ)99267000000014826720030305d2003 uy 0engur|n|---|||||txtccrLinear regression analysis /George A.F. Seber, Alan J. Lee2nd ed.Hoboken, N.J. Wiley-Intersciencec20031 online resource (584 p.)Wiley series in probability and statisticsDescription based upon print version of record.9780471415404 0471415405 Includes bibliographical references and index.Linear Regression Analysis; Contents; Preface; 1 Vectors of Random Variables; 1.1 Notation; 1.2 Statistical Models; 1.3 Linear Regression Models; 1.4 Expectation and Covariance Operators; Exercises 1a; 1.5 Mean and Variance of Quadratic Forms; Exercises 1b; 1.6 Moment Generating Functions and Independence; Exercises 1c; Miscellaneous Exercises 1; 2 Multivariate Normal Distribution; 2.1 Density Function; Exercises 2a; 2.2 Moment Generating Functions; Exercises 2b; 2.3 Statistical Independence; Exercises 2c; 2.4 Distribution of Quadratic Forms; Exercises 2d; Miscellaneous Exercises 23 Linear Regression: Estimation and Distribution Theory3.1 Least Squares Estimation; Exercises 3a; 3.2 Properties of Least Squares Estimates; Exercises 3b; 3.3 Unbiased Estimation of σ2; Exercises 3c; 3.4 Distribution Theory; Exercises 3d; 3.5 Maximum Likelihood Estimation; 3.6 Orthogonal Columns in the Regression Matrix; Exercises 3e; 3.7 Introducing Further Explanatory Variables; 3.7.1 General Theory; 3.7.2 One Extra Variable; Exercises 3f; 3.8 Estimation with Linear Restrictions; 3.8.1 Method of Lagrange Multipliers; 3.8.2 Method of Orthogonal Projections; Exercises 3g3.9 Design Matrix of Less Than Full Rank3.9.1 Least Squares Estimation; Exercises 3h; 3.9.2 Estimable Functions; Exercises 3i; 3.9.3 Introducing Further Explanatory Variables; 3.9.4 Introducing Linear Restrictions; Exercises 3j; 3.10 Generalized Least Squares; Exercises 3k; 3.11 Centering and Scaling the Explanatory Variables; 3.11.1 Centering; 3.11.2 Scaling; Exercises 3l; 3.12 Bayesian Estimation; Exercises 3m; 3.13 Robust Regression; 3.13.1 M-Estimates; 3.13.2 Estimates Based on Robust Location and Scale Measures; 3.13.3 Measuring Robustness; 3.13.4 Other Robust Estimates; Exercises 3nMiscellaneous Exercises 34 Hypothesis Testing; 4.1 Introduction; 4.2 Likelihood Ratio Test; 4.3 F-Test; 4.3.1 Motivation; 4.3.2 Derivation; Exercises 4a; 4.3.3 Some Examples; 4.3.4 The Straight Line; Exercises 4b; 4.4 Multiple Correlation Coefficient; Exercises 4c; 4.5 Canonical Form for H; Exercises 4d; 4.6 Goodness-of-Fit Test; 4.7 F-Test and Projection Matrices; Miscellaneous Exercises 4; 5 Confidence Intervals and Regions; 5.1 Simultaneous Interval Estimation; 5.1.1 Simultaneous Inferences; 5.1.2 Comparison of Methods; 5.1.3 Confidence Regions5.1.4 Hypothesis Testing and Confidence Intervals5.2 Confidence Bands for the Regression Surface; 5.2.1 Confidence Intervals; 5.2.2 Confidence Bands; 5.3 Prediction Intervals and Bands for the Response; 5.3.1 Prediction Intervals; 5.3.2 Simultaneous Prediction Bands; 5.4 Enlarging the Regression Matrix; Miscellaneous Exercises 5; 6 Straight-Line Regression; 6.1 The Straight Line; 6.1.1 Confidence Intervals for the Slope and Intercept; 6.1.2 Confidence Interval for the x-Intercept; 6.1.3 Prediction Intervals and Bands; 6.1.4 Prediction Intervals for the Response6.1.5 Inverse Prediction (Calibration)Concise, mathematically clear, and comprehensive treatment of the subject.* Expanded coverage of diagnostics and methods of model fitting.* Requires no specialized knowledge beyond a good grasp of matrix algebra and some acquaintance with straight-line regression and simple analysis of variance models.* More than 200 problems throughout the book plus outline solutions for the exercises.* This revision has been extensively class-tested.Wiley series in probability and statistics.Regression analysisMultivariate analysisRegression analysis.Multivariate analysis.519.5/36Seber G. A. F(George Arthur Frederick),1938-20688Lee A. J.1946-942453MiAaPQMiAaPQMiAaPQBOOK9910141318203321Linear regression analysis2126768UNINA