Linear Statistical Inference: Proceedings of the International Conference held at Pozna?, Poland, June 4–8, 1984: Lecture Notes in Statistics, cartea 35
Editat de T. Calinski, W. Kloneckien Limba Engleză Paperback – 22 ian 1986
Din seria Lecture Notes in Statistics
- 15% Preț: 631.86 lei
- Preț: 385.84 lei
- 17% Preț: 490.19 lei
- 17% Preț: 460.28 lei
- 18% Preț: 945.92 lei
- 20% Preț: 561.42 lei
- 18% Preț: 943.25 lei
- 18% Preț: 943.25 lei
- 18% Preț: 995.97 lei
- 15% Preț: 641.38 lei
- Preț: 436.14 lei
- 15% Preț: 633.53 lei
- 15% Preț: 658.88 lei
- Preț: 383.33 lei
- 15% Preț: 640.71 lei
- 18% Preț: 947.18 lei
- 18% Preț: 1007.35 lei
- 18% Preț: 942.63 lei
- 15% Preț: 639.59 lei
- 18% Preț: 1231.47 lei
- 15% Preț: 643.00 lei
- 18% Preț: 886.62 lei
- Preț: 383.12 lei
- 15% Preț: 633.35 lei
- 15% Preț: 635.65 lei
- Preț: 393.74 lei
- 15% Preț: 632.70 lei
- 15% Preț: 637.28 lei
- 15% Preț: 702.87 lei
- 15% Preț: 642.68 lei
- 15% Preț: 644.63 lei
- 15% Preț: 645.14 lei
- Preț: 382.36 lei
- 15% Preț: 636.30 lei
- 15% Preț: 647.92 lei
- Preț: 380.63 lei
- 18% Preț: 887.05 lei
- 15% Preț: 634.32 lei
- 15% Preț: 648.74 lei
- Preț: 378.92 lei
- 15% Preț: 648.56 lei
- 15% Preț: 647.59 lei
- 18% Preț: 780.37 lei
- 15% Preț: 641.20 lei
- 18% Preț: 1102.69 lei
- 15% Preț: 643.16 lei
- Preț: 384.70 lei
Preț: 644.18 lei
Preț vechi: 757.85 lei
-15% Nou
Puncte Express: 966
Preț estimativ în valută:
123.28€ • 127.35$ • 102.60£
123.28€ • 127.35$ • 102.60£
Carte tipărită la comandă
Livrare economică 25 martie-08 aprilie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9780387962559
ISBN-10: 0387962557
Pagini: 320
Ilustrații: VI, 320 p.
Dimensiuni: 170 x 244 x 18 mm
Greutate: 0.52 kg
Editura: Springer
Colecția Springer
Seria Lecture Notes in Statistics
Locul publicării:New York, NY, United States
ISBN-10: 0387962557
Pagini: 320
Ilustrații: VI, 320 p.
Dimensiuni: 170 x 244 x 18 mm
Greutate: 0.52 kg
Editura: Springer
Colecția Springer
Seria Lecture Notes in Statistics
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
1. Some Geometric Tools for the Gaussian Linear Model with Applications to the Analysis of Residuals.- 2. Approximate Design Theory for a Simple Block Design with Random Block Effects.- 3. Rectangular Lattices Revisited.- 4. Multiple Comparisons between Several Treatments and a Specified Treatment.- 5. Minimax-Prediction in Linear Models.- 6. Singular Information Matrices, Directional Derivatives and Subgradients in Optimal Design Theory.- 7. A Note on Admissibility of Improved Unbiased Estimators in Two Variance Components Models.- 8. Linear Statistical Inference Based on L-Estimators.- 9. Connected Designs with the Minimum Number of Experimental Units.- 10. Some Remarks on the Spherical Distributions and Linear Models.- 11. On Computation of the Log-Likelihood Functions under Mixed Linear Models.- 12. Some Remarks on Improving Unbiased Estimators by Multiplication with a Constant.- 13. On Improving Estimation in a Restricted Gauss-Markov Model.- 14. Distribution of the Discriminant Function.- 15. Admissibility, Unbiasedness and Nonnegativity in the Balanced, Random, One-Way Anova Model.- 16. Inference in a General Linear Model with an Incorrect Dispersion Matrix.- 17. A Split-Plot Design with Wholeplot Treatments in an Incomplete Block Design.- 18. Sensitivity of Linear Models with Respect to the Covariance Matrix.- 19. On a Decomposition of the Singular Gauss-Markov Model.- 20. Ridge Type M-Estimators.- 21. Majorization and Approximate Majorization for Families of Measures, Applications to Local Comparison of Experiments and the Theory of Majorization of Vectors in Rn.- 22. Characterization of Linear Admissible Estimators in the Gauss-Markov Model under Normality.