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[null,"1.","Record Nr.",null,"UNINA9910136670303321"]
[null,null,"Autore",null,"Thien Madeleine"]
[null,null,"Titolo",null,"Certainty"]
[null,null,"Pubbl/distr/stampa",null,"New York : , : Random House of Canada, , 2016"]
[{"$nulls":4},"©2016"]
[null,null,"ISBN",null,"1-55199-161-6"]
[null,null,"Descrizione fisica",null,"1 online resource (201 pages)"]
[null,null,"Disciplina",null,"813.6"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910141318203321"]
[null,null,"Autore",null,"Seber G. A. F (George Arthur Frederick), <1938->"]
[null,null,"Titolo",null,"Linear regression analysis / / George A.F. Seber, Alan J. Lee"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, N.J., : Wiley-Interscience, c2003"]
[null,null,"ISBN",null,"9786613618993"]
[{"$nulls":4},"9781280589164"]
[{"$nulls":4},"1280589167"]
[{"$nulls":4},"9780471431633"]
[{"$nulls":4},"047143163X"]
[{"$nulls":4},"9780471722199"]
[{"$nulls":4},"0471722197"]
[{"$nulls":4},"9781118274422"]
[{"$nulls":4},"1118274423"]
[null,null,"Edizione",null,"[2nd ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (584 p.)"]
[null,null,"Collana",null,"Wiley series in probability and statistics"]
[null,null,"Disciplina",null,"519.5/36"]
[null,null,"Soggetti",null,"Regression analysis"]
[{"$nulls":4},"Multivariate analysis"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"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 2"]
[{"$nulls":4},"3 Linear Regression: Estimation and Distribution Theory3.1 Least Squares Estimation; Exercises 3a; 3.2 Properties of Least Squares Estimates; Exercises 3b; 3.3 Unbiased Estimation of σ2; Exercises 3c; 3.4 Distribution Theory; Exercises 3d; 3.5 Maximum Likelihood Estimation; 3.6 Orthogonal Columns in the Regression Matrix; Exercises 3e; 3.7 Introducing Further Explanatory Variables; 3.7.1 General Theory; 3.7.2 One Extra Variable; Exercises 3f; 3.8 Estimation with Linear Restrictions; 3.8.1 Method of Lagrange Multipliers; 3.8.2 "]
[{"$nulls":4},"Method of Orthogonal Projections; Exercises 3g"]
[{"$nulls":4},"3.9 Design Matrix of Less Than Full Rank3.9.1 Least Squares Estimation; Exercises 3h; 3.9.2 Estimable Functions; Exercises 3i; 3.9.3 Introducing Further Explanatory Variables; 3.9.4 Introducing Linear Restrictions; Exercises 3j; 3.10 Generalized Least Squares; Exercises 3k; 3.11 Centering and Scaling the Explanatory Variables; 3.11.1 Centering; 3.11.2 Scaling; Exercises 3l; 3.12 Bayesian Estimation; Exercises 3m; 3.13 Robust Regression; 3.13.1 M-Estimates; 3.13.2 Estimates Based on Robust Location and Scale Measures; 3.13.3 Measuring Robustness; 3.13.4 Other Robust Estimates; Exercises 3n"]
[{"$nulls":4},"Miscellaneous 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 Regions"]
[{"$nulls":4},"5.1.4 Hypothesis Testing and Confidence Intervals5.2 Confidence Bands for the Regression Surface; 5.2.1 Confidence Intervals; 5.2.2 Confidence Bands; 5.3 Prediction Intervals and Bands for the Response; 5.3.1 Prediction Intervals; 5.3.2 Simultaneous Prediction Bands; 5.4 Enlarging the Regression Matrix; Miscellaneous Exercises 5; 6 Straight-Line Regression; 6.1 The Straight Line; 6.1.1 Confidence Intervals for the Slope and Intercept; 6.1.2 Confidence Interval for the x-Intercept; 6.1.3 Prediction Intervals and Bands; 6.1.4 Prediction Intervals for the Response"]
[{"$nulls":4},"6.1.5 Inverse Prediction (Calibration)"]
[null,null,null,"Sommario/riassunto","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."]
[null,"3.","Record Nr.",null,"UNINA9910997995303321"]
[null,null,"Autore",null,"Duvoux, Nicolas"]
[null,null,"Titolo",null,"Class and time-based subjective inequality : wealth forecast / Nicolas Duvoux"]
[null,null,"Pubbl/distr/stampa",null,"London ; New York, : Routledge, 2025"]
[null,null,"ISBN",null,"9781032913445"]
[null,null,"Descrizione fisica",null,"XIII, 115 p. : fig., tab. ; 23 cm"]
[null,null,"Collana",null,"Advances in sociology"]
[null,null,"Disciplina",null,"305.5"]
[null,null,"Locazione",null,"BFS"]
[null,null,"Collocazione",null,"305.5 DUV 1"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]