[PDF] Top 20 Ratio Estimators in two Stage Sampling Using Auxiliary Information
Has 10000 "Ratio Estimators in two Stage Sampling Using Auxiliary Information" found on our website. Below are the top 20 most common "Ratio Estimators in two Stage Sampling Using Auxiliary Information".
Ratio Estimators in two Stage Sampling Using Auxiliary Information
... surveys using multi-stage sampling the survey practitioner comes across more than one auxiliary variable either positively or negatively correlated with main variable (y) under study at ... See full document
7
A Note on Ratio Estimators in two Stage Sampling
... multi stage sampling are likely to be less efficient then those of the unrestricted uni-stage ...all auxiliary variable x compared with y may be available either at primary stage or of ... See full document
6
An exponential and log ratio estimator of population mean using auxiliary information in double sampling
... the ratio estimators do not work efficiently under situations when the relationship is not linear between the auxiliary and study ...and ratio estimators proposed by (Bahl & Tuteja, ... See full document
10
Ratio Estimators in Simple Random Sampling Using Information on Auxiliary Attribute
... of auxiliary information can increase the precision of an estimator when study variable y is highly correlated with auxiliary variable ...when information is available in the form of attribute ... See full document
7
A Class of Exponential Ratio Estimators of Finite Population Mean Using Two Auxiliary Variables
... the auxiliary information at the estimation stage in order to improve the precision of an estimator of unknown population parameter of ...interest. Ratio, product and regression methods of ... See full document
9
Mixture Regression Estimators Using Multi Auxiliary Variables and Attributes in Two Phase Sampling
... The Mixture Regression estimators in full information case using multiple auxiliary variables and attributes are more efficient than mean per unit, Regression estimator using one auxilia[r] ... See full document
13
Mixture Regression Estimators Using Multi-Auxiliary Variables and Attributes in Two-Phase Sampling
... person using information on more than one supplementary character, which is positively correlated with the variable under study, using a linear combination of ratio estimator based on each ... See full document
13
An Ecient Class of Estimators of Population Mean in Two-Phase Sampling Using Two Auxiliary Variables
... of ratio estimator y R d ˆ 1 (say), the product estimator y P d ˆ 2 , exponential chain type ratio estimator y Re d ˆ 3 , exponential chain type product estimator y Pe d ˆ 4 , Singh and ... See full document
12
Some generalized classes of double sampling regression type estimators using auxiliary information
... of estimators and are preferred to usual linear regression estimator, ratio esti- mator, mean per unit estimator and product estimator in the sense of lesser mean square ...of estimators, there ex- ... See full document
5
Modified Factor-Type Estimators with Two Auxiliary Variables under Two-Phase Sampling
... related ratio estimators under two- phase simple random sampling scheme when the study and auxiliary variables are positively ...obtained using Data 1, 2 and 3 ... See full document
14
Ratio-cum-product estimator using multiple auxiliary attributes in two-phase sampling
... double sampling was first proposed by Neyman [12] in sampling human populations when the mean of auxiliary variable(s) was ...the auxiliary variable for large samples. In most survey, the ... See full document
12
Ratio Cum Product Estimator Using Multiple Auxiliary Attributes in Two Phase Sampling
... study, using a linear combination of ratio estimator based on each auxiliary ...of using multi-auxiliary information in sample survey. Using this idea, Singh [5] proposed ... See full document
12
Use of Non-Conventional Measures of Dispersion for Improved Estimation of Population Mean
... the information on each of the population unit. Sampling is a very good alternative to overcome this ...of auxiliary information supplied by the auxiliary variable fulfills our aim to ... See full document
7
2. New family of estimators using two auxiliary attributes
... new estimators, which is found more efficient than the traditional regression estimators using two auxiliary attributes for the condition ...new estimators in ... See full document
6
A Class of Modified Ratio Estimators Using Linear Combination of Quartile Deviation and Median of Auxiliary Variable under Rank Set Sampling
... corresponding estimators from ...regression using BVSRS,BVSYS and BVRSS is judged with the help of a data ...on two variables of Pinus wllichiana: X, the diameter in centimeters at breast height and ... See full document
5
Estimation of Finite Population Mean in Stratified Random Sampling Using Auxiliary Attribute(s) under Non-Response
... propose two combined exponential ratio type estimators for finite population mean utilizing information on the auxiliary attribute(s) under ...proposed estimators are derived up ... See full document
10
Optimizing Forest Sampling by Using Lagrange Multipliers
... 2. Ratio and Regression Estimators In a stratified inventory information on some auxiliary variables is used both to plan the sampling design ...use auxiliary information, ... See full document
6
A Generalized Class of Jack-Knifed Estimator for Population Mean Using Two Auxiliary Variables under Measurement Errors
... of estimators of population mean, ratio and product of population means using auxiliary information of two variables in presence of measurement ...unbiased estimators ... See full document
11
A Family of Estimators for Estimating Population Variance Using Auxiliary Information in Sample Survey
... survey sampling an attempts have been made by various researchers to improve the efficiency of the estimators by using the auxiliary ...context ratio, product and ... See full document
8
A Family of Estimators of a Sensitive Variable Using Auxiliary Information in Stratified Random Sampling
... by using non-sensitive variable can be improved in stratified random sampling based on randomized response ...of estimators are more efficient than the existing estimators ...(2014) ... See full document
15
Related subjects