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部分抽样设计中总体均值的有效估计方法

Acknowledgements第5-7页
Preface第7-11页
Abstract第11-13页
摘要第14-22页
1. Introduction第22-32页
    1.1. Sample selection schemes第22-23页
    1.2. With and without replacement sampling第23页
    1.3. Sampling procedures第23-24页
        1.3.1. Simple random sampling第24页
        1.3.2. Stratified random sampling第24页
    1.4. Estimation of population parameters第24-25页
    1.5. Measures of error第25页
    1.6. Sampling and non-sampling errors第25-26页
    1.7. Ratio method of estimation第26页
    1.8. Product method of estimation第26-27页
    1.9. Regression method of estimation第27-28页
    1.10. Outline第28-30页
    1.11. Thesis related publications第30-32页
2. Ratio Type Estimators Based on Median第32-49页
    2.1. Introduction第32-36页
    2.2. Proposed ratio type estimators第36-39页
    2.3. Efficiency comparison of proposed estimators with existing estimators第39-43页
        2.3.1. The usual unbiased estimator第40页
        2.3.2. The usual ratio estimator第40-41页
        2.3.3. The linear regression estimator第41页
        2.3.4. Subramani and Kumarapandiyan (2013) proposed estimator第41-42页
        2.3.5. Subramani and Prabavathy (2014a) suggested estimators第42-43页
        2.3.6. Yadav et al.(2014a)proposed estimators第43页
    2.4. Numerical illustration第43-48页
    2.5. Conclusions第48-49页
3. Ratio Type Estimators Based on Correlation Coefficient第49-70页
    3.1. Introduction第49-53页
    3.2. Proposed families of ratio-type estimators第53-59页
        3.2.1. First proposed family of ratio-type estimators第53-56页
        3.2.2. Second proposed family of ratio-type estimators第56-59页
    3.3. Efficiency of the proposed estimators第59-62页
    3.4. Empirical study第62-66页
    3.5. Conclusions第66-70页
4. Difference-Cum-Exponential Type Estimators Through Conventional andNon-Conventional Measures第70-88页
    4.1. Introduction第70-71页
    4.2. Some important notations第71-72页
    4.3. Reviewing estimators第72-75页
    4.4. Proposed class of estimators第75-79页
        4.4.1. Bias,MSE and minimum MSE of Y_P第76-79页
    4.5. A comparative study of proposed class with other existing estimators第79-80页
    4.6. Numerical illustration第80-83页
    4.7. Simulation study第83-85页
        4.7.1. Real population第83-84页
        4.7.2. Pseudo population第84-85页
    4.8. Concluding remarks第85-88页
5. Exponential Type Estimators with Dual Use of Auxiliary Information第88-116页
    5.1. Introduction第88-89页
    5.2. Notations in simple random sampling第89-91页
    5.3. Known estimators/classes of estimators in simple random sampling第91-96页
    5.4. Proposed estimators in simple random sampling第96-100页
        5.4.1. First proposed estimator第96-98页
        5.4.2. Second proposed estimator第98-100页
    5.5. Applications in simple random sampling第100-102页
    5.6. Notations in stratified random sampling第102-104页
    5.7. Known estimators/classes of estimators in stratified random sampling第104-108页
    5.8. Proposed estimators in stratified random sampling第108-111页
    5.9. Numerical illustration in stratified random sampling第111-113页
    5.10. Concluding remarks第113-116页
6. Hartley Ross Type Unbiased Estimators Using Dual Auxiliary Information第116-135页
    6.1. Introduction and notations第116-119页
    6.2. Unbiased estimators from literature第119-122页
        6.2.1. Traditional unbiased estimator第119页
        6.2.2. Hartley and Ross(1954) estimator第119-120页
        6.2.3. Singh et al. (2014) estimators第120页
        6.2.4. Cekim and Kadilar (2016) estimators第120-122页
    6.3. Proposed class of almost unbiased estimators第122-125页
    6.4. Application on real data sets第125-130页
    6.5. A simulation study第130-134页
        6.5.1. Real population 1第130-131页
        6.5.2. Real population 2第131-134页
    6.6. Concluding remarks第134-135页
7. Optimal Estimators in the Presence of Measurement Error and Non-Response第135-156页
    7.1. Introduction第135-140页
    7.2. Estimators from literature第140-144页
    7.3. Proposed generalized estimation第144-147页
    7.4. Simulation study第147-149页
    7.5. Concluding remarks第149-156页
8. Summary, Conclusion and Future Recommendations第156-160页
    8.1. Summary and conclusion第156-159页
    8.2. Future recommendations第159-160页
Bibliography第160-175页
Publications第175-176页

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