Results 11 to 20 of about 69,902 (260)
Auxiliary variable-enriched biomarker-stratified design. [PDF]
Clinical trials in the era of precision medicine require assessment of biomarkers to identify appropriate subgroups of patients for targeted therapy. In a biomarker‐stratified design (BSD), biomarkers are measured on all patients and used as stratification variables.
Wang T +4 more
europepmc +5 more sources
Auxiliary variables are often needed for verifying that an implementation is correct with respect to a higher-level specification. They augment the formal description of the implementation without changing its semantics--that is, the set of behaviors that it describes.
Leslie Lamport, Stephan Merz
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Ratio estimators of population means using quartile function of auxiliary variable using double sampling [PDF]
Ratio estimators have been used in survey sampling for estimating population mean when the population mean of an auxiliary variable is known. However, as the auxiliary information is not always available we cannot gain any benefit from using ratio ...
Nuanpan Lawson
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Improved Estimators for Estimating Average Yield Using Auxiliary Variable [PDF]
In this paper, we consider the improved estimation of average production of peppermint at block level of Barabanki district of Uttar Pradesh State (India). We suggest certain estimators for population-mean.
S. K. Yadav +3 more
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Restructured searls family of estimators of population mean in the presence of nonresponse
Nonresponse is a major problem encountered by surveyors when conducting sampling surveys. The present study suggested a naïve modified Searls method for the elevated estimation of the population mean of the primary variable under investigation by ...
Abdullah Ali H. Ahmadini +3 more
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A new exponential estimator for finite population mean under double sampling using one auxiliary variable [PDF]
This paper proposes an exponential estimator of a population mean under double sampling using one auxiliary variable. The proposed estimator is modified from the estimator of Khatua and Misha (2013) and Ozgul and Cingi (2014).
Wuttichai Srisodaphol, Montip Tiensuwan
doaj +1 more source
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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Use of an efficient unbiased estimator for finite population mean.
In this study, we propose an improved unbiased estimator in estimating the finite population mean using a single auxiliary variable and rank of the auxiliary variable by adopting the Hartley-Ross procedure when some parameters of the auxiliary variable ...
Javid Shabbir, Ronald Onyango
doaj +1 more source
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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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
doaj +1 more source

