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A method for estimating the axis of reflectional symmetry of an image $f(x,y)$ on the unit disc $D=\{(x,y):x^2+y^2\leq1\}$ is proposed, given that noisy data of $f(x,y)$ are observed on a discrete gri...
This article deals with the estimation of a probability p of an undesirable event. Its occurence is formalized by the exceedance of a threshold reliability value by the unidimensional output of a (tim...
A general family of estimators for estimating the population mean of the variable under study, which make use of known value of certain population parameter(s), is proposed. Under Simple Random Samp...
We consider a diffusion (t)t0 with some T -periodic time dependent input term contained in the drift: under an unknown parameter # 2 , some discontinuity – an additional periodic signal – occurs at...
The estimation of Bayesian networks given high-dimensional data sets, in particular given gene expression data sets, has been the focus of much recent research. While there are many methods availabl...
An important estimation problem that is closely related to largescale multiple testing is that of estimating the null density and the proportion of nonnull effects. A few estimators have been introd...
We consider the problem of estimating a deterministic sparse vector x0 from underdetermined measurements Ax0 + w, where w represents white Gaussian noise and A is a given deterministic dictionary. ...
This study estimates the personnel cost implications of implementing the newly proposed Integrated Management of Childhood Illness (IMCI) algorithm in the first level health care facilities in rural...
System Dynamics Modeling, is the computerized model based on the conceptualized interactions of multiple factors within the study system. The present study applied the method of system dynamics mo...
Efforts to increase access to life-saving treatment, including antiretroviral therapy (ART), for people living with HIV/AIDS in resource-limited settings has been the growing focus of international ef...
We develop a Bayesian procedure for analyzing stationary long-range dependent processes.Specically,we consider the fractional exponential model (FEXP)to estimate the memory parameter of a stationary...
Consider a linear estimator of a parametric vector C@ in the normal Oauss-Markov model Y - N(X/3, aV). The Mean Squared Error of such an estimator may be presented in the form ka + #l'XfKXP and may...
In addition to being crucial to the establishment of archaeological chronologies, radiocarbon datingis vitaltotheestablishmentof timelines for many Holocene and late Pleistocene palaeoclimatic stud...
Improvement on Estimating Current Population Ratio in Successive Sampling
A Comparison of Two Models for Estimating the Size of a Population Containing Uncatchable Individuals。

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