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Article | 22-January-2018

A NEW ESTIMATOR OF MEAN USING DOUBLE SAMPLING

In this paper, we consider the problem of estimation of population mean of a study variable by making use of first-phase sample mean and first-phase sample median of the auxiliary variable at the estimation stage. The proposed new estimator of the population mean is compared to the sample mean estimator, ratio estimator and the difference type estimator for the fixed cost of the survey by using the concept of two-phase sampling. The magnitude of the relative efficiency of the proposed new

Kalyan Rao Vadlamudi, Stephen A. Sedory, Sarjinder Singh

Statistics in Transition New Series, Volume 18 , ISSUE 4, 637–650

Article | 15-March-2019

DEVELOPMENT OF CHAIN-TYPE EXPONENTIAL ESTIMATORS FOR POPULATION VARIANCE IN TWOPHASE SAMPLING DESIGN IN PRESENCE OF RANDOM NON-RESPONS

In this paper, an investigation has been carried out to deal with a unified approach of estimation procedures of population variance in two-phase sampling design under missing at random non-response mechanism circumstances. Using two auxiliary variables, we have developed different chain-type exponential estimators of finite population variance for two different set-ups and studied their properties under the different assumption of random non-response considered by Tracy and Osahan (1994). The

G. N. Singh, Amod Kumar, Gajendra K. Vishwakarma

Statistics in Transition New Series, Volume 19 , ISSUE 4, 575–596

Article | 06-July-2017

SOME EFFECTIVE ESTIMATION PROCEDURES UNDER NON-RESPONSE IN TWO-PHASE SUCCESSIVE SAMPLING

G. N. Singh, M. Khetan, S. Maurya

Statistics in Transition New Series, Volume 17 , ISSUE 2, 163–182

Research Article | 04-September-2019

ESTIMATION OF PRODUCT OF TWO POPULATION MEANS BY MULTI-AUXILIARY CHARACTERS UNDER DOUBLE SAMPLING THE NON-RESPONDENTS

of a larger first phase sample. In this situation, a class of two phase sampling estimators for estimating P is suggested using multi-auxiliary characters with unknown population means in the presence of non-response. The expressions of bias and mean square error of all the proposed estimators are derived and their properties are studied. An empirical study using real data sets is given to justify the theoretical considerations.

B. B. Khare, R. R. Sinha

Statistics in Transition New Series, Volume 20 , ISSUE 3, 81–95

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