Some Improved Estimators for Population Variance Using Two Auxiliary Variables in Double Sampling

Some Improved Estimators for Population Variance Using Two Auxiliary Variables in Double Sampling PDF Author: Viplav Kumar Singh
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 12

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Book Description
In this article we have proposed an efficient generalised class of estimator using two auxiliary variables for estimating unknown population variance 2 yS of study variable y .We have also extended our problem to the case of two phase sampling. In support of theoretical results we have included an empirical study.

Some Improved Estimators for Population Variance Using Two Auxiliary Variables in Double Sampling

Some Improved Estimators for Population Variance Using Two Auxiliary Variables in Double Sampling PDF Author: Viplav Kumar Singh
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 12

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Book Description
In this article we have proposed an efficient generalised class of estimator using two auxiliary variables for estimating unknown population variance 2 yS of study variable y .We have also extended our problem to the case of two phase sampling. In support of theoretical results we have included an empirical study.

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables PDF Author: Rajesh Singh
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 10

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Book Description
In this paper exponential ratio and exponential product type estimators using two auxiliary variables are proposed for estimating unknown population variance 2 yS . Problem is extended to the case of two-phase sampling. Theoretical results are supported by an empirical study.

A Class of Double Sampling Log Type Estimators for Population Variance Using Two Auxiliary Variable

A Class of Double Sampling Log Type Estimators for Population Variance Using Two Auxiliary Variable PDF Author: Shashi Bhushan
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 5

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Book Description
In this paper, a class of log-type estimator using two auxiliary information is proposed. Double sampling technique has been considered as it is assumed that the auxiliary information about the auxiliary variable is unknown. Bias and mean squared error has been found up to the first order of approximation. The proposed classes are compared to some commonly used estimators both theoretically as well as empirically and they perform better than commonly known estimators available in the literature.

A General Class of Estimators of Population Median Using Two Auxiliary Variables in Double Sampling

A General Class of Estimators of Population Median Using Two Auxiliary Variables in Double Sampling PDF Author: Jack Allen
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 21

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Book Description
In this paper we have suggested two classes of estimators for population median MY of the study character Y using information on two auxiliary characters X and Z in double sampling. It has been shown that the suggested classes of estimators are more efficient than the one suggested by Singh et al (2001). Estimators based on estimated optimum values have been also considered with their properties. The optimum values of the first phase and second phase sample sizes are also obtained for the fixed cost of survey.

Improvement in Estimating Population Mean using Two Auxiliary Variables in Two-Phase Sampling

Improvement in Estimating Population Mean using Two Auxiliary Variables in Two-Phase Sampling PDF Author: Rajesh Singh
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 11

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Book Description
This study proposes improved chain-ratio type estimator for estimating population mean using some known values of population parameter(s) of the second auxiliary character. The proposed estimators have been compared with two-phase ratio estimator and some other chain ratio type estimators. The performances of the proposed estimators have been supported with a numerical illustration.

Improvement in Estimating The Population Mean Using Dual To Ratio-Cum-Product Estimator in Simple Random Sampling

Improvement in Estimating The Population Mean Using Dual To Ratio-Cum-Product Estimator in Simple Random Sampling PDF Author: Olufadi Yunusa
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 13

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Book Description
In this paper, we propose a new estimator for estimating the finite population mean using two auxiliary variables. The expressions for the bias and mean square error of the suggested estimator have been obtained to the first degree of approximation and some estimators are shown to be a particular member of this estimator.

On Improvement in Estimating Population Parameter(s) Using Auxiliary Information

On Improvement in Estimating Population Parameter(s) Using Auxiliary Information PDF Author: Rajesh Singh
Publisher: Infinite Study
ISBN: 1599732300
Category : Business & Economics
Languages : en
Pages : 66

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Book Description


Some Improved Estimators of Population Mean Using Information on Two Auxiliary Attributes

Some Improved Estimators of Population Mean Using Information on Two Auxiliary Attributes PDF Author: Hemant Verma
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 9

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Book Description
In this paper, we have studied the problem of estimating the finite population mean when information on two auxiliary attributes are available. Some improved estimators in simple random sampling without replacement have been suggested and their properties are studied. The expressions of mean squared error’s (MSE’s) up to the first order of approximation are derived. An empirical study is carried out to judge the best estimator out of the suggested estimators.

An Advanced Class of Log-Type Estimators for Population Variance Using an Attribute and a Variable

An Advanced Class of Log-Type Estimators for Population Variance Using an Attribute and a Variable PDF Author: Chandni Kumari
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
In this paper, a class of log-type estimator using the auxiliary information in form of attribute as well as variable is proposed. Double sampling technique has been considered as it is assumed that the auxiliary information about the auxiliary attribute as well as auxiliary variable is unknown. Bias and mean squared error has been found up to the first order of approximation. The proposed classes are compared to some commonly used estimators both theoretically as well as empirically and they perform better than commonly used estimators available in the literature.

Randomness and Optimal Estimation in Data Sampling

Randomness and Optimal Estimation in Data Sampling PDF Author: M. Khoshnevisan, S. Saxena, H. P. Singh, S. Singh, F. Smarandache
Publisher: Infinite Study
ISBN: 1931233683
Category : Estimation theory
Languages : en
Pages : 63

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Book Description