An unbiased estimator for the ellipticity from image moments [PDF]
An unbiased estimator for the ellipticity of an object in a noisy image is given in terms of the image moments. Three assumptions are made: i) the pixel noise is normally distributed, although with arbitrary covariance matrix, ii) the image moments are ...
Tessore, Nicolas
core +2 more sources
Estimation of Variance Using Known Coefficient of Variation and Median of an Auxiliary Variable [PDF]
A modified ratio type variance estimator for estimating population variance of a study variable when the population median and coefficient of variation of an auxiliary variable are known is proposed.
Kumarapandiyan, G., Subramani, J.
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The generalization of ratio-cum product estimator for the arbitrary sample design
The generalization of a dual to ratio-cum-product estimator of the finite population total for the arbitrary sample design is given. The approximate variance is calculated and variance estimator is constructed.
Ignas Bartkus, Aleksandras Plikusas
doaj +1 more source
Confidence intervals for ratio of means for large paired and unpaired samples with finite variance,obtained by applying the central limit theorem and Cramér-Wold device, are given. Also, these intervals for ratiosare obtained under infinite variance and when considering independent populations, by using stable distributions.Numerical illustrations by ...
Omey, Edward, Cadena, Meitner
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Channel Estimation and Uplink Achievable Rates in One-Bit Massive MIMO Systems [PDF]
This paper considers channel estimation and achievable rates for the uplink of a massive multiple-input multiple-output (MIMO) system where the base station is equipped with one-bit analog-to-digital converters (ADCs).
Li, Yongzhi +4 more
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A Ratio Estimator Under General Sampling Design
Recently, many authors introduced ratio-type estimators for estimating the mean, or the ratio, for a finite populations. Most of the articles are discussing this problem under simple random sampling design, with more assumptions on the auxiliary variable
Jehad Al-Jararha +1 more
doaj +1 more source
Log-Ratio Lasso: Scalable, Sparse Estimation for Log-Ratio Models [PDF]
AbstractPositive-valued signal data is common in the biological and medical sciences, due to the prevalence of mass spectrometry other imaging techniques. With such data, only the relative intensities of the raw measurements are meaningful. It is desirable to consider models consisting of the log-ratios of all pairs of the raw features, since log ...
Stephen Bates, Robert Tibshirani
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Methods of sample adjustment. Improving the quality of survey results [PDF]
Statistical surveys, however well designed, often find that the resulting sample structure does not always reproduce the population structure accurately.In order to get more accurate estimators for the variables of interest, several methods of sample ...
Alina BARBU
doaj
Optimized inferences of finite population mean using robust parameters in systematic sampling.
In this article, we have proposed a generalized estimator for mean estimation by combining the ratio and regression methods of estimation in the presence of auxiliary information using systematic sampling.
Nazia Shaheen +3 more
doaj +1 more source
Optimal Power Allocation for Channel Estimation in MIMO-OFDM System with Per-Subcarrier Transmit Antenna Selection [PDF]
A novel hybrid channel estimator is proposed for multiple-input multiple-output orthogonal frequency- division multiplexing (MIMO-OFDM) system with per-subcarrier transmit antenna selection having optimal power allocation among subcarriers.
Rajeswari, K., Thiruvengadam, S. J.
core +2 more sources

