The Class of Estimators of Finite Population Mean Using Incomplete Multi-Auxiliary Information

• Autorzy: Meenakshi Srivastava , Garg Neha
• Języki publikacji: EN

Abstrakty

EN

In this paper, a class of estimators is considered for estimating the mean of the finite population utilizing available incomplete multi-auxiliary information. Some special cases of this class of estimators are considered. The approximate expressions for bias and mean square error of the suggested estimators have also been derived and theoretical results are numerically supported. (original abstract)

Słowa kluczowe

EN

Sampling survey; Estimation; Estimators

PL

Badania reprezentacyjne; Estymacja; Estymatory

• Czasopismo: Statistics in Transition
• Rocznik: 2013
• Tom: 14
• Numer: nr 2
• Strony: 201--216

Twórcy

autor

Meenakshi Srivastava

• Ambedkar University

autor

Garg Neha

• Indira Gandhi National Open University

Bibliografia

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