✦ LIBER ✦

Higher-Order Approximations for Pitman Estimators and for Optimal Compromise Estimators

✍ Scribed by Laura Ventura

Book ID: 111850884
Publisher: John Wiley and Sons
Year: 1998
Tongue: French
Weight: 332 KB
Volume: 26
Category: Article
ISSN: 0319-5724
DOI: 10.2307/3315672

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Higher-order approximations for interval

Higher-order approximations for interval estimation in binomial settings

✍ Ana-Maria Staicu 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 397 KB

Approximations for Marginal Densities of

Approximations for Marginal Densities of M-Estimators

✍ Rocky Y. K. Fan and Christopher A. Field 📂 Article 📅 1995 🏛 John Wiley and Sons 🌐 French ⚖ 588 KB

Subspace design of low-rank estimators f

Subspace design of low-rank estimators for higher-order statistics

✍ Ivan Bradaric; Athina P. Petropulu; Konstantinos I. Diamantaras 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 244 KB

Optimal minimal order N-State estimators

Optimal minimal order N-State estimators for linear stochastic systems

✍ L.H. Ferry; D. Williamson 📂 Article 📅 1976 🏛 Elsevier Science 🌐 English ⚖ 387 KB

SummarymThis paper presents the general solution to the problem of designing minimal order estimators to optimally estimate the state vector x, of a linear discrete-time stochastic system with time invariant dynamics. The estimators differ depending on the number N of stages over which the estimates

Higher order asymptotic theory for norma

Higher order asymptotic theory for normalizing transformations of maximum likelihood estimators

✍ Masanobu Taniguchi; Madan L. Puri 📂 Article 📅 1995 🏛 Springer Japan 🌐 English ⚖ 872 KB

Optimal estimators for the importance sa

Optimal estimators for the importance sampling method

✍ Philippe, Anne 📂 Article 📅 2000 🏛 Taylor and Francis Group 🌐 English ⚖ 636 KB