000 | 01258nam a2200241 a 4500 | ||
---|---|---|---|
020 | _a9783540207221 | ||
020 | _a3540207228 | ||
082 |
_a519.5 _bNON |
||
100 | _aHardle, Wolfgang | ||
245 | _aNonparametric and semiparametric models | ||
260 |
_aBerlin ; _aNew York : _bSpringer, _c©2004. |
||
300 | _axxvii, 299 pages ; | ||
490 | _aSpringer series in statistics. | ||
500 | _aBibliography & Index | ||
505 | _a 1. Introduction -- Part I. Nonparametric models -- 2. Histogram -- 3. Nonparametric density estimation -- 4. Nonparametric regression -- Part II. Semiparametric models -- 5. Semiparametric and generalized regression models -- 6. Single index models -- 7. Generalized partial linear models -- 8. Additive models and marginal effects -- 9. Generalized additive models. | ||
520 | _a It naturally splits into two parts: The first part is intended for undergraduate students majoring in mathematics, statistics, econometrics or biometrics whereas the second part is intended to be used by master and PhD students or researchers. | ||
650 | _aNonparametric statistics. | ||
650 | _aMathematical models. | ||
700 | _aMuller, Marlene | ||
700 | _aSperlich, Stefan | ||
700 | _aWerwatz, Axel | ||
942 | _cPR | ||
999 |
_c40396 _d40396 |