✦ LIBER ✦

Statistical inference from multiply censored environmental data

✍ Scribed by A. H. El-Shaarawi; A. Naderi

Publisher: Springer
Year: 1991
Tongue: English
Weight: 346 KB
Volume: 17
Category: Article
ISSN: 0167-6369
DOI: 10.1007/bf00399313

No coin nor oath required. For personal study only.

✦ Synopsis

Maximum likelihood estimation for multiply censored samples are discussed. Approximate confidence intervals for the lognormal mean are obtained using both Taylor expansion method and direct method. It is shown that the direct method performs noticeably better than the Taylor expansion method. Simulation results and applications are provided.

📜 SIMILAR VOLUMES

Statistical inference for the Burr model

Statistical inference for the Burr model based on progressively censored data

✍ M.A.M. Ali Mousa; Z.F. Jaheen 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 427 KB

Bayesian inference from type II doubly c

Bayesian inference from type II doubly censored Rayleigh data

✍ Arturo J Fernández 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 94 KB

In this paper we present a Bayesian approach to inference in reliability studies based on type II doubly censored data from a Rayleigh distribution. We also consider the problem of predicting an independent future sample from the same distribution in a Bayesian setting. The results can be used to pr

Inferences about the variability of mean

Inferences about the variability of means from censored data

✍ A. H. El-Shaarawi; P. B. Kauss; M. K. Kirby; M. Walsh 📂 Article 📅 1989 🏛 Springer 🌐 English ⚖ 382 KB

Statistical inference of allelic imbalan

Statistical inference of allelic imbalance from transcriptome data

✍ Michael Nothnagel; Andreas Wolf; Alexander Herrmann; Karol Szafranski; Inga Vate 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 224 KB

Next-generation sequencing and the availability of high-density genotyping arrays have facilitated an analysis of somatic and meiotic mutations at unprecedented level, but drawing sensible conclusions about the functional relevance of the detected variants still remains a formidable challenge. In th

“Objective” low informative priors for B

“Objective” low informative priors for Bayesian inference from totally censored Gaussian data

✍ O. Ditlevsen; A. Vrouwenvelder 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 893 KB

Inferring Three-Dimensional Crack Statis

Inferring Three-Dimensional Crack Statistics from Two-Dimensional Data

✍ John K. Dienes 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 67 KB

In rock mechanics it is often assumed that the number of cracks whose size yc r c exceeds c is given by the exponential N e . It is difficult, however, to examine 0