scholarly journals Estimation of a total for rotated sample design using auxiliary information

2009 ◽  
Vol 50 ◽  
Author(s):  
Viktoras Chadyšas
Keyword(s):  
Random Sampling ◽  
Sampling Design ◽  
Auxiliary Information ◽  
Simple Random Sampling ◽  
Sampling Procedure ◽  
Sample Design ◽  
Successive Sampling ◽  
Phase Sampling ◽  
Approximate Variance ◽  
Multi Phase

In this paper we focus on constructions of the total estimator for rotated sampling design. Successive sampling procedure using multi-phase sampling design have been developed. The composite ratio type estimator of the total using auxiliary  information and its approximate variance is constructed under simple random sampling design on each phase.

scholarly journals Estimation of the current population total for a four-phase sampling design

2016 ◽  
Vol 21 (2) ◽  
pp. 241-260
Author(s):  
Viktoras Chadyšas ◽  
Danutė Krapavickaitė
Keyword(s):  
Sampling Design ◽  
Finite Population ◽  
Auxiliary Information ◽  
Real Data ◽  
Simple Random Sampling ◽  
Two Phase ◽  
Successive Sampling ◽  
Population Total ◽  
Sampling Without Replacement ◽  
Phase Sampling

The combined ratio-type estimators of the finite population total and their variances in the case of sample rotation for two-phase and four-phase sampling schemes are constructed in the paper. Combined estimators of the finite population total without and with the use of auxiliary information known from the previous survey are built. Two types of sampling design are used for sample selection in each of the phases: simple random sampling without replacement and successive sampling without replacement with probabilities proportional to size. A simulation study, based on the real data, is performed, and the accuracy of the estimators proposed is compared.

scholarly journals A Family of Difference-Cum-Exponential Type Estimators for Estimating the Population Variance Using Auxiliary Information in Sample Surveys

2014 ◽  
Vol 1 ◽  
pp. 15-21
Author(s):  
H.S. Jhajj ◽  
Kusam Lata
Keyword(s):  
Linear Regression ◽  
Exponential Type ◽  
Random Sampling ◽  
Sampling Design ◽  
Mean Squared Error ◽  
Auxiliary Information ◽  
Simple Random Sampling ◽  
Double Sampling ◽  
Population Variance ◽  
Squared Error

Using auxiliary information, a family of difference-cum-exponential type estimators for estimating the population variance of variable under study have been proposed under double sampling design. Expressions for bias, mean squared error and its minimum values have been obtained. The comparisons have been made with the regression-type estimator by using simple random sampling at both occasions in double sampling design. It has also been shown that better estimators can be obtained from the proposed family of estimators which are more efficient than the linear regression type estimator. Results have also been illustrated numerically as well asgraphically.

scholarly journals Estimation of employed persons in the case of sample rotation

2008 ◽  
Vol 48 ◽  
Author(s):  
Viktoras Chadyšas ◽  
Danutė Krapavickaitė
Keyword(s):  
Random Sampling ◽  
Sampling Design ◽  
Labour Force ◽  
Auxiliary Information ◽  
Real Data ◽  
Simple Random Sampling ◽  
Ratio Estimator ◽  
Labour Force Survey ◽  
The Real ◽  
Sample Rotation

The aim of the paper – to investigate effectiveness of the ratio estimator in the labour force survey in the case of the simple random sampling with rotation. For each quarter of the year one fourth of the previousquarter sample is changed with the new one, and three fourth’s are remaining the same. After simplification of the sampling design the estimator using auxiliary information and its approximate variance is constructed. The accuracy of the estimator obtained is studied by modelling with the real data.

scholarly journals On Estimation of Distribution Function Using Dual Auxiliary Information under Nonresponse Using Simple Random Sampling

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Saddam Hussain ◽  
Mi Zichuan ◽  
Sardar Hussain ◽  
Anum Iftikhar ◽  
Muhammad Asif ◽  
...  
Keyword(s):  
Random Sampling ◽  
Mean Squared Error ◽  
Population Distribution ◽  
Auxiliary Information ◽  
Simple Random Sampling ◽  
Auxiliary Variable ◽  
Distribution Functions ◽  
Supplementary Information ◽  
Auxiliary Variables ◽  
Estimation Of Distribution

In this paper, we proposed two new families of estimators using the supplementary information on the auxiliary variable and exponential function for the population distribution functions in case of nonresponse under simple random sampling. The estimations are done in two nonresponse scenarios. These are nonresponse on study variable and nonresponse on both study and auxiliary variables. As we have highlighted above that two new families of estimators are proposed, in the first family, the mean was used, while in the second family, ranks were used as auxiliary variables. Expression of biases and mean squared error of the proposed and existing estimators are obtained up to the first order of approximation. The performances of the proposed and existing estimators are compared theoretically. On these theoretical comparisons, we demonstrate that the proposed families of estimators are better in performance than the existing estimators available in the literature, under the obtained conditions. Furthermore, these theoretical findings are braced numerically by an empirical study offering the proposed relative efficiencies of the proposed families of estimators.

A Test of Cluster Sampling in Forest Inventories

1975 ◽  
Vol 5 (2) ◽  
pp. 269-272 ◽  
Author(s):  
G. M. Bonnor
Keyword(s):  
Random Sampling ◽  
Sampling Design ◽  
Simple Random Sampling ◽  
Cluster Sampling ◽  
Field Sampling ◽  
Forest Inventories ◽  
Straight Line ◽  
Time Required ◽  
Variance Estimates ◽  
The Given

During a recent pilot survey in Newfoundland, forest data were collected using a stratified, one-stage cluster-sampling design. The data were analyzed to determine if, within the stratified framework, cluster sampling would be more efficient than simple random sampling. Each cluster consisted of five point-samples located in a straight line. For the analysis, volume and variance estimates were determined from clusters of 1,2,3,4 and 5 points. During the survey, records were kept of the time required to complete various field-sampling tasks. These were used in lieu of cost data in the analysis. Results indicated that, for the given conditions, simple random sampling was more efficient than cluster sampling. However, relatively small changes in the conditions would make cluster sampling more efficient.

scholarly journals HUBUNGAN HARGA DIRI DENGAN PERILAKU KONSUMTIF REMAJA DI BANDA ACEH

2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Jasmadi Jasmadi ◽  
Aulia Azzama
Keyword(s):  
Random Sampling ◽  
Sampling Design ◽  
Negative Relationship ◽  
Simple Random Sampling ◽  
Self Esteem ◽  
Correlation Technique ◽  
Consumptive Behavior ◽  
The Relationship ◽  
Objective Research ◽  
Banda Aceh

Some adolescence among at Banda Aceh could not to accept their physical self either excess or a deficiency in themself so that the adolescence doing the imitating behavior others people as a model (the idol) with consumptive behavior a manner in order to change the appearance for the sake of to cover their a deficiency. This objective research is to know the relationship between self esteem and consumptive behavior on adolescence at Banda Aceh and the hypothesis presented in this objective research are there is a negative relationship between self esteem and consumptive behavior on adolescence at Banda Aceh. The sample in this objective research involving 84 adolescence and sampling design by using simple random sampling. Data collected by using psychology scales is Self Esteem Scales compiled with reference to the Coopersmith theory (1967) and Consumptive Behavior Scales compiled with reference to the Sumartono theory (2002). Data to analys by using Product Moment correlation technique with correlation coefisient (r) was -0,324 and significant value (p) was 0,003 (p

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