Large-Sample Approximations to the Best Linear Unbiased Estimation and Best Linear Unbiased Prediction Based on Progressively Censored Samples and Some Applications-Reference-Cited by-同舟云学术

Large-Sample Approximations to the Best Linear Unbiased Estimation and Best Linear Unbiased Prediction Based on Progressively Censored Samples and Some Applications

Published:1997 Issue: Volume: Page:431-444
ISSN:
Container-title:Advances in Statistical Decision Theory and Applications
language:
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Author:

Balakrishnan N.,Rao C. R.

Publisher

Birkhäuser Boston

Link

http://link.springer.com/content/pdf/10.1007/978-1-4612-2308-5_28

Reference23 articles.

1. Aggarwala, R. and Balakrishnan, N. (1997). Some properties of progressive censored order statistics from arbitrary and uniform distributions, with applications to inference and simulation, Journal of Statistical Planning and Inference (to appear).

2. Arnold, B. C., Balakrishnan, N. and Nagaraja, H. N. (1992). A First Course in Order Statistics, New York: John Wiley & Sons.

3. Balakrishnan, N. and Cohen, A. C. (1991). Order Statistics and Inference-Estimation Methods, San Diego: Academic Press.

4. Balakrishnan, N. and Rao, C. R. (1997a). A note on the best linear unbiased estimation based on order statistics, The American Statistician (to appear).

5. Balakrishnan, N. and Rao, C. R. (1997b). On the efficiency properties of BLUEs, Journal of Statistical Planning and Inference (to appear).

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