✦ LIBER ✦

LEAST-SQUARES ESTIMATION OF LOCATION AND SCALE PARAMETERS USING ORDER STATISTICS

✍ Scribed by LLOYD, E. H.

Book ID: 111868664
Publisher: Oxford University Press
Year: 1952
Tongue: English
Weight: 316 KB
Volume: 39
Category: Article
ISSN: 0006-3444
DOI: 10.1093/biomet/39.1-2.88

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Estimation of location and scale paramet

Estimation of location and scale parameters for the Burr XII distribution using generalized order statistics

✍ I. Malinowska; P. Pawlas; D. Szynal 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 158 KB

The minimum variance linear unbiased estimators (MVLUE), the best linear invariant estimators (BLIE) and the maximum likelihood estimators (MLE) based on n-selected generalized order statistics are presented for the parameters of the Burr XII distribution.

Hypothesis testing of the location and s

Hypothesis testing of the location and scale parameters using order statistics

✍ Smiley W Cheng 📂 Article 📅 1984 🏛 Elsevier Science 🌐 English ⚖ 213 KB

Estimation of groundwater flow parameter

Estimation of groundwater flow parameters using least squares

✍ K.R. Bailey; B.G. Fitzpatrick 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 924 KB

## In this paper, we present several variations on the least squares approach of estimating steady-state flow parameters in a groundwater model. We test the approach on numerically generated data, and also apply it to field data from the MADE (MAcro Dispersion Experiment) data set obtained at Colu

Interval estimation of respiratory param

Interval estimation of respiratory parameters using least-squares techniques

✍ Charles B. Drebes; Vu-Ding Ming; John W. Shephard; Joseph H. Ogura 📂 Article 📅 1979 🏛 Elsevier Science 🌐 English ⚖ 1023 KB

Relationships are determined that describe the bias inherent in point estimates of mean resistance and compliance obtained by applying least-squares to the respiratory equation P = Rk + V/C + PO over inspiration and expiration, assuming flow follows a sinusoidal pattern. If resistance and elastance

ESTIMATION OF ARRHENIUS MODEL PARAMETERS

ESTIMATION OF ARRHENIUS MODEL PARAMETERS USING THREE LEAST SQUARES METHODS

✍ STEPHEN G. HARALAMPU; ISRAEL SAGUY; MARCUS KAREL 📂 Article 📅 1985 🏛 John Wiley and Sons 🌐 English ⚖ 570 KB

Least squares estimation of Heidler func

Least squares estimation of Heidler function parameters

✍ Slavko Vujević; Dino Lovrić; Ivica Jurić-Grgić 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 163 KB

The aim of the proposed paper is to present an effective numerical algorithm for the computation of Heidler function parameters. The basic six channel-base current quantities can be prescribed: current peak value, front duration, time to half value, current steepness factor, charge transfer at the s