The Auxiliary Variables
The use of auxiliary variables in capture-recapture and removal experiments.
... is used to relate the probability of capture to continuous auxiliary variables.. The auxiliary variables could be environmental quantities such as air or water.[r] ...
26
Auxiliary variables for 3D multiscale simulations in heterogeneous porous media
... additional variables. We term these additional variables auxiliary, and the remainder of the paper is devoted to developing and verifying this ...coarse variables must be mapped onto a 1D ...
15
Optimum Stratification in Bivariate Auxiliary Variables under Neyman Allocation
... When the complete data set of the study variable is unknown it produces a possible stumbling block in attempting various stratification techniques. A technique is proposed under Neyman allocation when the stratification ...
25
Survival Analysis Using Auxiliary Variables via Nonparametric Multiple Imputation
... We apply the non-parametric multiple imputation schemes and the IPCW method to AIDS data from the ACTG-019 clinical trial [14, 27]. There are 1337 subjects, with 428 subjects in the placebo arm and 909 subjects in the ...
15
Small area estimation based on M-quantile models in presence of outliers in auxiliary variables
... The rest of the paper is organized as follows. In Section 2 we review the lin- ear mixed model and the EBLUP of the small area mean under this model. In this Section we also show the robust version of the EBLUP proposed ...
26
Ready Queue Mean Time Estimation in Lottery Scheduling using Auxiliary Variables in Multiprocessor Environment
... that auxiliary variables play important role in the prediction of remaining processing time of ready ...the auxiliary variables are selected and used in proper ...selected auxiliary ...
7
Effective Estimation Strategy of Finite Population Variance Using Multi-Auxiliary Variables in Double Sampling
... variable, auxiliary variable, chain-type, regression, bias, variance, efficiency Introduction Auxiliary information plays a role in the planning, selection, and estimation stages of a sample ...several ...
22
Improved Ratio-Cum-Product Estimators of Population Mean Using Known Population Parameters of Auxiliary Variables
... of auxiliary information has been in practice to increase the efficiency of the ...the auxiliary variable are known, several estimators for population mean of study variable have been discussed in the ...
7
General Class of Ratio-Cum-Product Estimators in Two-Phase Sampling using Multi-Auxiliary Variables
... of auxiliary variables and (đ + 1), (đ + 2), ⊠, đ no information case auxiliary variables, all in ratio estimation ...of auxiliary variables and (â + 1), (â + 2), ⊠, đ no ...
9
A family of ratio estimators for population mean in extreme ranked set sampling using two auxiliary variables
... In this section, we have illustrated the performance of various estimators of population mean under SRS and ERSS through natural data sets. ERSS performs better than SRS in case of symmetric populations. In order to ...
20
Handling auxiliary variables in survey sampling and nonresponse
... ix RĂ©sumĂ© Ce manuscrit est consacrĂ© Ă lâutilisation dâinformations auxiliaires en Ă©chantillonnage et en non-rĂ©ponse. Nous nous intĂ©ressons Ă lâintĂ©gration de variables auxiliaires dans les mĂ©thodes ...
103
Multiple Imputation For Interval Censored Data With Auxiliary Variables
... The imputation schemes consist of using the data in the imputing risk set to create an exact event time for each interval censored observation. In simulation studies we show that the use[r] ...
17
An approximate Bayesian approach to regression estimation with many auxiliary variables
... the auxiliary information makes the point estimates more inefficient as shown in Table 2, and the methods with shrinkage estimation of ÎČ such as ABH, ABL and GREG-L provide better point estimates than AB and GREG, ...
36
Auxiliary variables for Bayesian inference in multi class queueing networks
... FFBS: iteration n + 1 t 1 0â2 2 0â1 1 2â3 2 1â3 1 3â0 2 3â0 Figure 5: Task transition diagram with a single iteration in the proposed sampler, for a bottleneck network with three servers. Here, tasks 1 and 2 are observed ...
14
A Regression Type Estimator with Two Auxiliary Variables for Two Phase Sampling
... two auxiliary variables for two-phase sampling when we donât have any type of information about auxiliary variables at population ...both auxiliary variables have minimum ...
5
Generalized P-phased Regression Estimators with Single and Two Auxiliary Variables
... Multiphase sampling has been the concept not being utilized is estimation of ratio and regression estimator widely. In the recent study we have proposed new dimension of sampling survey of estimations by proposing two ...
25
A New Regression Type Estimator with Two Auxiliary Variables for Single Phase Sampling
... two auxiliary variables for single-phase sampling and investigated its finite sample ...utilize auxiliary variables for finite popula- tion ...two auxiliary variables for to be ...
9
Improvement on estimating median for finite population using auxiliary variables in double-sampling
... Keywords: Auxiliary variables, BIAS, median, mean square error, percentage relative efficiency Abstrak Tujuan kajian ini adalah untuk mencadangkan penganggar median bagi nisbah-pembeza-merangkap bagi median ...
9
A new regression type estimator with two auxiliary variables for single-phase sampling
... two auxiliary variables for single-phase sampling and investigated its finite sample ...utilize auxiliary variables for finite popula- tion ...two auxiliary variables for to be ...
9
Improved generalized family of estimators of population mean using information on transformed auxiliary variables
... the auxiliary variates x and z respectively, It is well known under simple random sampling without replacement (SRSWOR) that the usual unbiased estimator (which does not utilize auxiliary information) ...
22