Results 21 to 30 of about 57,992 (261)
Laws of motion given in terms of differential equations can not always be derived from an action principle, at least not without introducing auxiliary variables. By allowing auxiliary variables, e.g.
Ward Struyve
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Improved Mixed Estimator Using Two Auxiliary Variables For Full Extreme Maximum And Minimum Values In Single Phase Sampling [PDF]
The use of multiple auxiliary variables has been established to improve precision in the estimators of ratio, regression and product respectively. However, the presence of extreme values in the distribution could annul such efficiency Olatayo et al ...
Timothy O. Olatayo +2 more
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Dexterous Estimation of Population Mean in Survey Sampling Under Non-Response Error [PDF]
In this scripture, we ponder the problem of efficient estimation of population mean of study variable utilizing information on highly correlated auxiliary variables under the presence of non-response on either of the variables.
S. K. Yadav, O. P. Yadav, D. K. Yadav
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A chain ratio exponential type estimator in two-phase sampling using auxiliary information
This paper advocates the problem of estimating the population mean of the study variable y using the information on two auxiliary variables x and z. We have suggested the family of chain ratio exponential type estimators in two-phase (or double) sampling.
Rohini Yadav +3 more
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Estimation of the finite population covariance using calibration
Estimators of the finite population covariance with several systems of weights are considered. New calibrated estimators of the finite population covariance (variance) are derived, using two and three weighting systems that are defined by various ...
A. Plikusas, D. Pumputis
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Auxiliary Variable Based Particle Filters [PDF]
We model a time series {y t , t = 1, ..., n} using a state-space framework with the {y t |α t } being independent and with the state {α t } assumed to be Markovian. The task will be to use simulation to estimate f(α t |F t ), t = 1, ..., n, where F t is contemporaneously available information.
Neil Shephard, Michael K. Pitt
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An Information Criterion for Auxiliary Variable Selection in Incomplete Data Analysis
Statistical inference is considered for variables of interest, called primary variables, when auxiliary variables are observed along with the primary variables.
Shinpei Imori, Hidetoshi Shimodaira
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Spatial mapping of soil respiration using auxiliary variables. A small scale study [PDF]
Soil respiration is a significant contributor to the global emissions of CO2 and is governed by many soil factors. Reliable estimates of CO2 emission on different scales (e.g., field, regional level) are hard to obtain due to the expressed spatial and ...
Eszter TÓTH +10 more
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Auxiliary variables for deformable models [PDF]
We present a mathematical formulation for curve and surface reconstruction algorithms by introduction of auxiliary variables. For deformable models and templates, two step iterative algorithms have been often used where, at each iteration, the model is first locally deformed according to the potential data attraction and then globally smoothed. We show
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Background Multiple imputation is becoming increasingly popular. Theoretical considerations as well as simulation studies have shown that the inclusion of auxiliary variables is generally of benefit. Methods A simulation study of a linear regression with
Hardt Jochen, Herke Max, Leonhart Rainer
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