Question Details

The set of equations obtained in the process of least square estimation are 



1. An estimator n t which contains all information about the parameter contains in the
sample is,
(i) an unbiased estimator (ii) a consistent estimator
(iii) a sufficient estimator (iv) None of these
2. Sample standard deviation is a ------- estimator of population standard deviation.
(i) Unbiased (ii) biased (iii) sufficient (iv) efficient
3. The inequality helps us to obtain an estimator with minimum variance is,
(i) Tchebycheve- inequality (ii) Cramer- Rao inequality
(iii) Jenson- inequality (iv) None of these

4. The method of M.L.E. is established by,
(i) Fisher (ii) Newton (iii) Bernoullie (iv) None of these

5. The set of equations obtained in the process of least square estimation are called
(i) Normal equations (ii) Intrinsic equations
(iii) Simultaneous equations (iv) All the above
6. The estimator obtained by the method of moments are ---- in comparison with the
estimator obtained by the method of MLE
(i)	Less efficient (ii) More efficient (iii) equally efficient (iv) None of these




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