Recent Advancements in Sampling Theory & its Applications

Sampling is one of the most important statistical techniques used to draw the inference about the whole population when it is very large and researchers have limited resources in terms of time, money and manpower. These Sampling techniques are widely used in different domains like Medical, Agriculture, and Business etc. The important insights obtained from these sample surveys provide the blueprints to the stakeholders for effective policy making. The present volume is based on the contributions made by various authors on different important topics on Recent Advancements in Sampling Theory and its Applications which introduces the subject along the following topics: Estimation of Population Mean using One Auxiliary Variable in Stratified Random Sampling: A Simulation Study, An Analytical Study for Estimation of TFR in India, Estimation of the population variance in Sample Surveys: A new estimator, Neutrosophic Transformed Ratio Estimators for Estimating Finite Neutrosophic Population Mean, An Efficient three Parameters Family of Estimators of Finite Population Mean in Sample Surveys, On Estimation of Population Mean using Auxiliary Variable and Known Coefficient of Variation under Double Sampling Scheme, A General Class of Dual to Ratio-Type Exponential Estimators, Analyzing Survey Data using R Software, Applications of Sampling Techniques in Marketing Research, Sample Surveys: An Overview and Application