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A Family of Median Based Estimators in Simple Random Sampling

A Family of Median Based Estimators in Simple Random Sampling PDF Author: Hemant K. Verma
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 11

Book Description
In this paper we have proposed a median based estimator using known value of some population parameter(s) in simple random sampling. Various existing estimators are shown particular members of the proposed estimator.

A Family of Median Based Estimators in Simple Random Sampling

A Family of Median Based Estimators in Simple Random Sampling PDF Author: Hemant K. Verma
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 11

Book Description
In this paper we have proposed a median based estimator using known value of some population parameter(s) in simple random sampling. Various existing estimators are shown particular members of the proposed estimator.

A Class Of Separate-Type Estimators For Population Mean In Stratified Sampling Using Known Parameters Under Non-Response

A Class Of Separate-Type Estimators For Population Mean In Stratified Sampling Using Known Parameters Under Non-Response PDF Author: Manoj K. Chaudhary
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 11

Book Description
The objective of the present paper is to propose a family of separate-type estimators of population mean in stratified random sampling in presence of non response based on the family of estimators proposed by Khoshnevisan et al. (2007)

The Efficient Use of Supplementary Information in Finite Population Sampling

The Efficient Use of Supplementary Information in Finite Population Sampling PDF Author: Rajesh Singh
Publisher: Infinite Study
ISBN: 1599732750
Category : Population
Languages : en
Pages : 73

Book Description
The purpose of writing this book is to suggest some improved estimators using auxiliary information in sampling schemes like simple random sampling, systematic sampling and stratified random sampling. This volume is a collection of five papers, written by nine co-authors (listed in the order of the papers): Rajesh Singh, Mukesh Kumar, Manoj Kr. Chaudhary, Cem Kadilar, Prayas Sharma, Florentin Smarandache, Anil Prajapati, Hemant Verma, and Viplav Kr. Singh. In first paper dual to ratio-cum-product estimator is suggested and its properties are studied. In second paper an exponential ratio-product type estimator in stratified random sampling is proposed and its properties are studied under second order approximation. In third paper some estimators are proposed in two-phase sampling and their properties are studied in the presence of non-response. In fourth chapter a family of median based estimator is proposed in simple random sampling. In fifth paper some difference type estimators are suggested in simple random sampling and stratified random sampling and their properties are studied in presence of measurement error.

A GENERAL FAMILY OF ESTIMATORS FOR ESTIMATING POPULATION MEAN USING KNOWN VALUE OF SOME POPULATION PARAMETER(S)

A GENERAL FAMILY OF ESTIMATORS FOR ESTIMATING POPULATION MEAN USING KNOWN VALUE OF SOME POPULATION PARAMETER(S) PDF Author: M. Khoshnevisan
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 12

Book Description
A general family of estimators for estimating the population mean of the variable under study, which make use of known value of certain population parameter(s), is proposed. Under Simple Random Sampling Without Replacement (SRSWOR) scheme, the expressions of bias and mean squared error (MSE) up to first order of approximation are derived. Some well known estimators have been shown as particular member of this family.

Ratio Estimators in Simple Random Sampling Using Information on Auxiliary Attribute

Ratio Estimators in Simple Random Sampling Using Information on Auxiliary Attribute PDF Author: Rajesh Singh
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 12

Book Description
Some ratio estimators for estimating the population mean of the variable under study, which make use of information regarding the population proportion possessing certain attribute, are proposed.

Improvement in Estimating the Population Mean Using Exponential Estimator in Simple Random Sampling

Improvement in Estimating the Population Mean Using Exponential Estimator in Simple Random Sampling PDF Author: Rajesh Singh
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 9

Book Description
This study proposes some exponential ratio-type estimators for estimating the population mean of the variable under study, using known values of certain population parameter(s)

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

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.

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

Book Description


A Family of Estimators for Estimating The Population Mean in Stratified Sampling

A Family of Estimators for Estimating The Population Mean in Stratified Sampling PDF Author: Rajesh Singh
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 9

Book Description
In this chapter, we have suggested an improved estimator for estimating the population mean in stratified sampling in presence of auxiliary information. The mean square error (MSE) of the proposed estimator have been derived under large sample approximation.

Ranked Set Sampling

Ranked Set Sampling PDF Author: Carlos N. Bouza-Herrera
Publisher: Academic Press
ISBN: 0128156937
Category : Business & Economics
Languages : en
Pages : 314

Book Description
Ranked Set Sampling: 65 Years Improving the Accuracy in Data Gathering is an advanced survey technique which seeks to improve the likelihood that collected sample data presents a good representation of the population and minimizes the costs associated with obtaining them. The main focus of many agricultural, ecological and environmental studies is the development of well designed, cost-effective and efficient sampling designs, giving RSS techniques a particular place in resolving the disciplinary problems of economists in application contexts, particularly experimental economics. This book seeks to place RSS at the heart of economic study designs. Focuses on how researchers should manipulate RSS techniques for specific applications Discusses RSS performs in popular statistical models, such as regression and hypothesis testing Includes a discussion of open theoretical research problems Provides mathematical proofs, enabling researchers to develop new models