Mixture Ratio Estimators Using Multi-Auxiliary Variables and Attributes for Two-Phase Sampling

Open Journal of Statistics
doi 10.4236/ojs.2014.49073
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Scientific Research Publishing, Inc,

Related search

Enhanced Mean Ratio Estimators of Auxiliary Variables Based on the Linear Mixture of Variances

Central Bank of Nigeria Journal of Applied Statistics
2019English

Class of Difference Cum Ratio–Type Estimator in Double Sampling Using Two Auxiliary Variables With Some Known Population Parameters

American Journal of Theoretical and Applied Statistics
2019English

Estimation of Finite Population Mean Using Two Auxiliary Variables Under Stratified Random Sampling

Statistics in Transition
UncertaintyStatisticsProbability
2020English

Modified Ratio Estimators for Population Mean Using Function of Quartiles of Auxiliary Variable

Bonfring International Journal of Industrial Engineering and Management Science
2012English

Mixture Models, Latent Variables and Partitioned Importance Sampling

Statistical Methodology
StatisticsProbability
2004English

A Simulation Study: New Optimal Estimators for Population Mean by Using Dual Auxiliary Information in Stratified Random Sampling

Journal of Taibah University for Science
2020English

Empirical Comparisons of Abundance Estimators for Two Sympatric Carnivores Using Noninvasive Genetic Sampling

Wildlife Biology
EvolutionEcologyMonitoringNatureSystematicsLandscape ConservationManagementBehaviorPolicyLaw
2019English

Efficient Utilization of Auxiliary Information on Estimation of Population Mean Using Exponential Type Estimators in Successive Sampling

Journal of Statistical Theory and Applications
2017English

Two Phase Mixture Filtration

Science and Technology Development Journal
2010English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy