A course in large sample theory /
Saved in:
Author / Creator: | Ferguson, Thomas S. (Thomas Shelburne), 1929- |
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Edition: | First edition. |
Imprint: | London ; New York : Chapman & Hall, 1996. |
Description: | 1 online resource ( ix, 245 pages) |
Language: | English |
Series: | Chapman & Hall texts in statistical science Texts in statistical science. |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12407959 |
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100 | 1 | |a Ferguson, Thomas S. |q (Thomas Shelburne), |d 1929- |0 http://id.loc.gov/authorities/names/n91106151 |1 http://viaf.org/viaf/112298549 | |
245 | 1 | 2 | |a A course in large sample theory / |c Thomas S. Ferguson. |
250 | |a First edition. | ||
264 | 1 | |a London ; |a New York : |b Chapman & Hall, |c 1996. | |
300 | |a 1 online resource ( ix, 245 pages) | ||
336 | |a text |b txt |2 rdacontent |0 http://id.loc.gov/vocabulary/contentTypes/txt | ||
337 | |a computer |b c |2 rdamedia |0 http://id.loc.gov/vocabulary/mediaTypes/c | ||
338 | |a online resource |b cr |2 rdacarrier |0 http://id.loc.gov/vocabulary/carriers/cr | ||
490 | 1 | |a Chapman & Hall texts in statistical science | |
504 | |a Includes bibliographical references (pages 236-237) and index. | ||
505 | 0 | |a pt. 1. Basic Probability. 1. Modes of Convergence. 2. Partial Converses to Theorem 1. 3. Convergence in Law. 4. Laws of Large Numbers. 5. Central Limit Theorems -- pt. 2. Basic Statistical Large Sample Theory. 6. Slutsky Theorems. 7. Functions of the Sample Moments. 8. The Sample Correlation Coefficient. 9. Pearson's Chi-Square. 10. Asymptotic Power of the Pearson Chi-Square Test -- pt. 3. Special Topics. 11. Stationary m-Dependent Sequences. 12. Some Rank Statistics. 13. Asymptotic Distribution of Sample Quantiles. 14. Asymptotic Theory of Extreme Order Statistics. 15. Asymptotic Joint Distributions of Extrema -- pt. 4. Efficient Estimation and Testing. 16. A Uniform Strong Law of Large Numbers. 17. Strong Consistency of Maximum-Likelihood Estimates. 18. Asymptotic Normality of the Maximum-Likelihood Estimate. 19. The Cramer-Rao Lower Bound. 20. Asymptotic Efficiency. 21. Asymptotic Normality of Posterior Distributions. | |
588 | 0 | |a Print version record. | |
650 | 0 | |a Sampling (Statistics) |0 http://id.loc.gov/authorities/subjects/sh85117056 | |
650 | 0 | |a Asymptotic distribution (Probability theory) |0 http://id.loc.gov/authorities/subjects/sh85009054 | |
650 | 0 | |a Law of large numbers. |0 http://id.loc.gov/authorities/subjects/sh85075318 | |
650 | 6 | |a Échantillonnage (Statistique) | |
650 | 6 | |a Distribution asymptotique (Théorie des probabilités) | |
650 | 6 | |a Loi des grands nombres. | |
650 | 7 | |a Sampling (Statistics) |2 blmlsh | |
650 | 7 | |a Statistics. |2 blmlsh | |
650 | 7 | |a Asymptotic distribution (Probability theory) |2 fast |0 (OCoLC)fst00819866 | |
650 | 7 | |a Law of large numbers. |2 fast |0 (OCoLC)fst00994048 | |
650 | 7 | |a Sampling (Statistics) |2 fast |0 (OCoLC)fst01104676 | |
650 | 1 | 7 | |a Steekproeven. |2 gtt |
650 | 7 | |a Amostragem (estatistica) |2 larpcal | |
650 | 7 | |a Probabilidade (estatistica) |2 larpcal | |
650 | 0 | 7 | |a Statistik. |2 swd |
650 | 0 | 7 | |a Stichprobennahme. |2 swd |
776 | 0 | 8 | |i Print version: |a Ferguson, Thomas S. (Thomas Shelburne), 1929- |t Course in large sample theory. |b First edition |z 0412043718 |w (DLC) 96086138 |w (OCoLC)36104352 |
830 | 0 | |a Texts in statistical science. |0 http://id.loc.gov/authorities/names/n94038042 | |
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