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  16. 56
    por Martos Quesada, Juan
    Publicado 2004
    Libro
  17. 57
    por Musso, Cornelio ( 1511-1575)
    Publicado 1587
    Libro
  18. 58
    por Iglesia Católica.
    Publicado 1755
    Tabla de Contenidos: “….-- Romae : typis & sumptibus De Mainardis ..., 1757. IV, 100 p. ; Fol. Sign.: [ ]2, A-M4, N2. Port. con viñeta xil. …”
    Colección
  19. 59
  20. 60
    Publicado 2019
    Tabla de Contenidos: “…8.16 Appendix B: Robust filter covariance recursions 359 -- 8.17 Appendix C: ARMA model state-space representation 360 -- 8.18 Recommendations and software 361 -- 8.19 Problems 361 -- 9 Numerical Algorithms 363 -- 9.1 Regression M-estimators 363 -- 9.2 Regression S-estimators 366 -- 9.3 The LTS-estimator 366 -- 9.4 Scale M-estimators 367 -- 9.4.1 Convergence of the fixed-point algorithm 367 -- 9.4.2 Algorithms for the non-concave case 368 -- 9.5 Multivariate M-estimators 369 -- 9.6 Multivariate S-estimators 370 -- 9.6.1 S-estimators with monotone weights 370 -- 9.6.2 The MCD 371 -- 9.6.3 S-estimators with non-monotone weights 371 -- 9.6.4 *Proof of (9.27) 372 -- 10 Asymptotic Theory of M-estimators 373 -- 10.1 Existence and uniqueness of solutions 374 -- 10.1.1 Redescending location estimators 375 -- 10.2 Consistency 376 -- 10.3 Asymptotic normality 377 -- 10.4 Convergence of the SC to the IF 379 -- 10.5 M-estimators of several parameters 381 -- 10.6 Location M-estimators with preliminary scale 384 -- 10.7 Trimmed means 386 -- 10.8 Optimality of the MLE 386 -- 10.9 Regression M-estimators: existence and uniqueness 388 -- 10.10 Regression M-estimators: asymptotic normality 389 -- 10.10.1 Fixed X 389 -- 10.10.2 Asymptotic normality: random X 394 -- 10.11 Regression M estimators: Fisher-consistency 394 -- 10.11.1 Redescending estimators 394 -- 10.11.2 Monotone estimators 396 -- 10.12 Nonexistence of moments of the sample median 398 -- 10.13 Problems 399 -- 11 Description of Datasets 401 -- References 407 -- Index 423.…”
    Libro electrónico