Statistical Inference and Hypothesis Testing-Moments and Least Squares [ISS (Statistical Services) Statistics Paper II]: Questions 1 - 6 of 13
Choose Programs:
🎓 Study Material (17 Notes): 2024-2025 Syllabus
Rs. 100.00 -OR-
3 Year Validity (Multiple Devices)
Topic-wise Notes & SampleDetails
🎯 402 MCQs (& PYQs) with Full Explanations (2024-2025 Exam)
Rs. 300.00 -OR-
3 Year Validity (Multiple Devices)
CoverageDetailsSample Explanation
Help me Choose & Register (Watch Video) Already Subscribed?
Question 1
Question MCQ▾
The credit of inventing the method of moments for estimating the parameters goes to
Choices
Choice (4) | Response | |
---|---|---|
a. | Neyman | |
b. | R. A. Fisher | |
c. | Karl Pearson | |
d. | Cramer-Rao |
Question 2
Question MCQ▾
For a simple linear model , the estimated values of and by the method of least square will be
Choices
Choice (4) | Response | |
---|---|---|
a. | and | |
b. | and | |
c. | and | |
d. | and |
Question 3
Question MCQ▾
Method of least squares consists of
Choices
Choice (4) | Response | |
---|---|---|
a. | Minimizing the sum of squares of residuals | |
b. | Maximizing the sum of squares of residuals | |
c. | Question does not provide sufficient data or is vague | |
d. | None of the above |
Question 4
Question MCQ▾
In general, the estimates obtained by the method of moments are ________
Choices
Choice (4) | Response | |
---|---|---|
a. | Asymptotically normal but not efficient | |
b. | Asymptotically normal and always efficient | |
c. | Not asymptotically normal but efficient | |
d. | None of the above |
Question 5
Question MCQ▾
Generally the estimators obtained by the method of moments as compared to Maximum Likelihood estimators are:
Choices
Choice (4) | Response | |
---|---|---|
a. | Equally Efficient | |
b. | More Efficient | |
c. | Less Efficient | |
d. | All of the above |
Question 6
Question MCQ▾
Linear estimators obtained by the method of least squares are
Choices
Choice (4) | Response | |
---|---|---|
a. | Sufficient Estimators | |
b. | MVU Estimators | |
c. | Unbiased Estimators | |
d. | All of the above |