Laws of large numbers
Laws of Large Numbers contains the usual laws of large numbers together with the recent ones derived in unified and elementary approaches. Most of these results are valid for dependent and possibly non-identical sequence of random variables. These are established under much greater generalities with...
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
New Delhi, India
Narosa
2012
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| Subjects: | |
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| 003 | MY-KLNDU | ||
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| 008 | 121101 2012 ii bi 000 0 eng d | ||
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| 040 | |a UPNM | ||
| 090 | |a QA 276.6 |b .C43 2012 | ||
| 100 | 1 | |a Chandra, T.K. | |
| 245 | 1 | 0 | |a Laws of large numbers |c T.K. Chandra |
| 260 | |a New Delhi, India |b Narosa |c 2012 | ||
| 300 | |a 230 p. |b ill. |c 25 cm. | ||
| 504 | |a Includes bibliographical references and index | ||
| 520 | |a Laws of Large Numbers contains the usual laws of large numbers together with the recent ones derived in unified and elementary approaches. Most of these results are valid for dependent and possibly non-identical sequence of random variables. These are established under much greater generalities with methods drastically simpler than the standard ones available in current text-books. Using the uniform Integrability type conditions, the monograph supplements the strong laws of large numbers by proving Lp-convergence of the sample mean to its expectations. | ||
| 592 | |a 00011478 |b 23/11/12 |c RM278.60 |h PVK | ||
| 650 | 0 | |a Law of large numbers | |
| 999 | |a vtls000047716 |c 46763 |d 46763 | ||