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Weak convergence of empirical processes for non-stationary strong mixing sequences and their applications to asymptotic normality and efficiency of linear rank statistics
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- Author / Creator
- Rao, Madiraju Sudhakara
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- Graduation date
- 1974
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- Type of Item
- Thesis
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- Degree
- Doctor of Philosophy in Mathematical Statistics
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- License
- This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for the purpose of private, scholarly or scientific research. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.