Journal Article10.1093/BIOMET/40.3-4.457
A note on ordered least-squares estimation
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About: This article is published in Biometrika. The article was published on 01 Dec 1953. The article focuses on the topics: Explained sum of squares & Non-linear least squares.
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Citations
Probability Plotting Methods and Order Statistics
TL;DR: A variety of different prescriptions have been advanced for the "plotting positions": that is, for the set of values at which the ordered observations in a sample should be plotted as discussed by the authors.
104
Complex Linear Least Squares
TL;DR: In this paper, the efficiency of the least square estimate (LSE), the best linear unbiased estimate (BLUE), the Markov estimate (ME), and the relationship among them is investigated from the perspective of complex stochastic processes.
65
Estimation of regression equation with cauchy disturbances
K.R. Kadiyala,K.S.R. Murthy +1 more
TL;DR: In this article, two methods of estimating a linear regression equation with Cauchy disturbances are presented: the maximum likelihood method and the method of least lines, which minimizes the sum of absolute errors from the fitted regression.
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Certain General Properties of Unbiased Estimates of Location and Scale Parameters Based on Ordered Observations
TL;DR: In this paper, upper bounds for the variances of least squares estimators based on a subset of the ordered observations in a random sample (which may, for simplicity, be called best estimates or ordered least squares estimates) of location, scale and both location and scale parameters of a distribution were derived.
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