Statistical Decision Theory and Related Topics V - edition reliée, livre de poche

EAN (ISBN-13): 9780387941431
ISBN (ISBN-10): 0387941436
Version reliée
Date de parution: 1994
Editeur: Springer Verlag, Secaucus, New Jersey, U.S.A.

Livre dans la base de données depuis 2008-03-08T00:32:37+01:00 (Zurich)
Page de détail modifiée en dernier sur 2023-06-13T14:03:55+02:00 (Zurich)
ISBN/EAN: 9780387941431

ISBN - Autres types d'écriture:
0-387-94143-6, 978-0-387-94143-1
Autres types d'écriture et termes associés:
Auteur du livre: berger, shanti, gupta
Titre du livre: statistical decision theory and related topics

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Données de l'éditeur

Auteur: Shanti S. Gupta; James O. Berger
Titre: Statistical Decision Theory and Related Topics V
Editeur: Springer; Springer US
537 Pages
Date de parution: 1993-11-29
New York; NY; US
Poids: 0,950 kg
Langue: Anglais
85,55 € (DE)
87,95 € (AT)
106,60 CHF (CH)
Not available, publisher indicates OP

BB; Book; Hardcover, Softcover / Wirtschaft/Allgemeines, Lexika; Unternehmensforschung; Verstehen; decision theory; Estimator; statistics; Likelihood; algorithm; C; Operations Research/Decision Theory; Business and Management; Probability Theory and Stochastic Processes; Mathematical Modeling and Industrial Mathematics; Statistical Theory and Methods; Management: Entscheidungstheorie; Wahrscheinlichkeitsrechnung und Statistik; Stochastik; Mathematische Modellierung; Mathematik für Ingenieure; Wahrscheinlichkeitsrechnung und Statistik; BC; EA

1: Restrospective on Wald’s Decision Theory and Sequential Analysis.- Minimaxity, More or Less.- A Retrospective of Wald’s Sequential Analysis — Its Relation to Change-point Detection and Sequential Clinical Trials.- Group Bayes Estimation of the Exponential Mean: A Retrospective View of the Wald Theory.- 2: Asymptotics and Nonparametrics.- Ibragimov — Hasminskii Models.- Penalized Likelihood Hazard Estimation: Algorithm and Examples.- Estimating Lifetime Distribution Under Different Sampling Plans.- Estimating the Mixing Density of a Mixture of Power Series Distributions.- Estimating Linear Functionals in Density Estimation Models.- On Robust Estimation In Case-Control Studies with Errors in Covariates.- 3: Bayesian Analysis.- Applications and Limitations of Robust Bayesian Bounds and Type II MLE.- Bayesian Estimation of Political Transition Matrices.- Using Historical Controls in Clinical Trials: Application to ECMO.- A Geometric Solution of the Bayesian E-Optimal Design Problem.- Bayesian Estimation for Censored Data: An Experiment in Sensitivity Analysis.- Stability and Convergence of the Posterior in Non-Regular Problems.- A Hierarchical Bayesian Analysis of Circular Data with Autoregressive Errors: Modeling the Mechanical Properties of Cortical Bone.- Discovery Sampling and Selection Models.- 4: Decision Theory and Selection Procedures.- Loss Functions for Set Estimation.- Double Sample Estimation When Cost Depends on the Parameter.- On Some Bayesian Solutions of the Neyman-Scott Problem.- Empirical Bayes Two-Stage Procedures for Selecting the Best Bernoulli Population Compared with a Control.- On the Differentiation of Certain Probabilities with Applications in Statistical Decision Theory.- Minimax Bayes, Asymptotic Minimax and Sparse Wavelet Priors.- Simulating the Power of Decision Rules Applied to Data From the HGPRT Gene Mutation Assay.- Analyzing Randomized Response Data with a Binomial Selection Procedure.- Improved Confidence Statements for the Usual Multivariate Normal Confidence Set.- Improving on Truncated Estimators.- Bayesian and Non-Bayesian Estimation Using Balanced Loss Functions.- 5: Probability and Probabilistic Structures.- Distributions Which Are Gaussian Convolutions.- An Infinite Dimensional Convolution Theorem.- How Many Geometric (p) Samples Does It Take to See All the Balls in a Box.- The Asymptotic Distribution of Point Charges on a Conducting Sphere.- Permutation Invariant Upper and Lower Probabilities.- Subgraph Approximations for Directed Graphical Models.- Lower Bounds on Expected Redundancy for Classes of Continuous Markov Sources.- 6: Sequential, Adaptive, and Filtering Problems.- Random Walks for Quantile Estimation.- Some Procedures for State Estimation of a Hidden Markov Chain with Two States.- Adaptive Estimation Via Martingales.- The Blackwell Prediction Algorithm for Infinite 0–1 Sequences, and a Generalization.- Some Statistical Problems in Multitarget Tracking.- A Generalized Parking Problem.- Search Methods and Observer Logics.