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Applications of empirical process theory
Material type:
TextSeries: Cambridge series in statistical and probabilistic mathematicsPublication details: Cambridge Cambridge university PressDescription: x,286pISBN: - 0 521 65002 X
- 519.234 GEE
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Department of Statistics | 519.234 GEE (Browse shelf(Opens below)) | Available | STA1522 |
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| 519.234 DEV;1 Nonparametric density estimation: the L1 view | 519.234 EFR Non parametric curve estimation: | 519.234 EFR Missing and modified data in nonparametric estimation : with R examples | 519.234 GEE Applications of empirical process theory | 519.234 GIB Nonparametric statistical inference/2nd ed. | 519.234 GIB;1 Nonparametric statistical inference/2nd ed. | 519.234 GIN Mathematical foundations of infinite- dimensional statistical models |
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