Results 31 to 40 of about 28,068 (205)
In this paper we have suggested a class of estimators of population mean of sensitive variable under optional randomized response technique as reported in Gupta et al  (2014). We have obtained the mean squared error (MSE) of the ...
Patidar, Preeti +3 more
core +1 more source
This paper presents new classes of estimators in estimating the finite population mean under double sampling in the presence of nonresponse when using information on fractional raw moments. The expressions for mean square error of the proposed classes of
Manzoor Khan +3 more
doaj +1 more source
The present study addresses the problems of mean estimation and nonresponse under the three-stage RRT model. Auxiliary information on an attribute and variable is used to propose a generalized class of exponential ratio-type estimators.
Ronald Onyango +2 more
doaj +1 more source
A Class of Modified Ratio Estimators for Estimation of Population Variance [PDF]
Abstract In this paper we have proposed a class of modified ratio type variance estimators for estimation of population variance of the study variable using the known parameters of the auxiliary variable. The bias and mean squared error of the proposed estimators are obtained and also derived the conditions for which the proposed ...
Subramani, J., Kumarapandiyan, G.
openaire +1 more source
State estimation for a class of nonlinear systems [PDF]
We propose a new type of Proportional Integral (PI) state observer for a class of nonlinear systems in continuous time which ensures an asymptotic stable convergence of the state estimates. Approximations of nonlinearity are not necessary to obtain such results, but the functions must be, at least locally, of the Lipschitz type.
Benoît Schwaller +3 more
openaire +2 more sources
Characterization of the asymptotic distribution of semiparametric M-estimators
This paper develops a concrete formula for the asymptotic distribution of two-step, possibly non-smooth semiparametric M-estimators under general misspecification.
Sokbae Lee +5 more
core +1 more source
A family of estimators of population mean using multi-auxiliary variate and post-stratification
This paper suggests a family of estimators of population mean using multiauxiliary variate based on post-stratified sampling and its properties are studied under large sample approximation.
Gajendra K. Vishwakarma +2 more
doaj +1 more source
A generalized exponential-type estimator for population mean using auxiliary attributes.
In this paper, we propose a generalized class of exponential type estimators for estimating the finite population mean using two auxiliary attributes under simple random sampling and stratified random sampling.
Sohail Ahmad +3 more
doaj +1 more source
An MAP Estimation for Between-Class Variance
Probabilistic linear discriminant analysis (PLDA) has been widely used in open-set verification tasks, such as speaker verification. A potential issue of this model is that the training set often contains limited number of classes, which makes the estimation for the between-class variance unreliable.
Jiao Han +4 more
openaire +3 more sources
An improvement over regression method of estimation
This paper suggested a class of estimators for the population mean of the study variable using information on an auxiliary variable with its properties under large sample approximation.
Housila P. Singh +2 more
doaj +1 more source

