| 000 | 02502cam a22003378i 4500 | ||
|---|---|---|---|
| 001 | 20705339 | ||
| 003 | OSt | ||
| 005 | 20200917165514.0 | ||
| 008 | 181010s2019 enk b 001 0 eng c | ||
| 010 | _a 2018041299 | ||
| 020 | _a9781108483407 (Hbk) | ||
| 040 |
_aLBSOR/DLC _beng _erda _cLBSOR |
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| 042 | _apcc | ||
| 050 | 0 | 0 |
_aHB139 _b.R3292 2019 |
| 082 | 0 | 0 |
_a330.0151954 R115I _223 |
| 100 | 1 |
_aRacine, Jeffrey S. _eauthor. _926121 |
|
| 222 | _aES-reference book collection | ||
| 245 | 1 | 3 |
_aIntroduction to the advanced theory of nonparametric econometrics : _ba replicable approach using R _cJeffrey S. Racine. |
| 260 |
_aCambridge: _bCambridge University Press, _c2019. |
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| 263 | _a1901 | ||
| 300 | _axxvi, 408p. | ||
| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aDiscrete probability and cumulative probability functions -- Continuous density and cumulative distribution functions -- Mixed-data probability density and cumulative distribution functions -- Conditional probability density and cumulative distribution functions -- Conditional moment functions -- Conditional mean function estimation -- Conditional mean function estimation with endogenous predictors -- Semiparametric conditional mean function estimation -- Conditional variance function estimation. | |
| 520 | _a"An Introduction to the Advanced Theory of Nonparametric Econometrics Interest in nonparametric methodology has grown considerably over the past few decades, stemming in part from vast improvements in computer hardware and the availability of new software that allows practitioners to take full advantage of these numerically intensive methods. This book is written for advanced undergraduate students, intermediate graduate students, and faculty, and provides a complete teaching and learning course at a more accessible level of theoretical rigor than Racine's earlier book co-authored with Qi Li, Nonparametric Econometrics: Theory and Practice (2007). The open source R platform for statistical computing and graphics is used throughout in conjunction with the R package np. Recent developments in reproducible research is emphasized throughout with appendices devoted to helping the reader get up to speed with R, R Markdown, TeX and Git"-- | ||
| 650 | 0 |
_aEconometrics. _926122 |
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| 650 | 0 |
_aNonparametric statistics. _926123 |
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| 650 | 0 |
_aR (Computer program language) _926124 |
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| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
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| 942 |
_2ddc _cBK |
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| 999 |
_c9170 _d9170 |
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