000 | 01560 a2200229 4500 | ||
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003 | OSt | ||
005 | 20220907151737.0 | ||
008 | 220715b xxu||||| |||| 00| 0 eng d | ||
020 | _a9781108483407 | ||
040 | _cIIT Kanpur | ||
041 | _aeng | ||
082 |
_a330.15195 _bR115i |
||
100 | _aRacine, Jeffrey S. | ||
245 |
_aAn introduction to the advanced theory and practice of nonparametric econometrics _ba replicable approach using R _cJeffrey S. Racine |
||
260 |
_bCambridge University Press _c2019 _aCambridge |
||
300 | _axxvi, 408p | ||
520 | _aInterest 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 | _aNonparametric statistics | ||
650 | _aEconometrics | ||
650 | _aR (Computer program language) | ||
942 | _cBK | ||
999 |
_c565710 _d565710 |