MARC 닫기
00000cam u2200205 i 4500
000001364494
20220214152241
m d
cr |||||||||||
180723s2019 nyua ob 001 0 eng
▼a 2018035264
▼a 9780190900687
▼q electronic book
▼a 0190900687
▼q electronic book
▼a 9780190900670
▼q electronic book
▼a 0190900679
▼q electronic book
▼z 9780190900663
▼q hardcover ;
▼q alkaline paper
▼a 1983137
▼b (N$T)
▼a (OCoLC)1045723624
▼a DLC
▼b eng
▼c DLC
▼d OCLCF
▼d OCLCO
▼d YDX
▼d OCLCQ
▼d N$T
▼d YDX
▼d 248023
▼d UKOUP
▼e rda
▼a pcc
▼a MAIN
▼a HB139
▼b .R3293 2019
▼a BUS
▼x 069000
▼2 bisacsh
▼a BUS
▼x 055000
▼2 bisacsh
▼a 330.0285/5133
▼2 23
▼a Racine, Jeffrey Scott,
▼d 1962-,
▼e author.
▼a Reproducible econometrics using R /
▼c Jeffrey S. Racine.
▼a New York, NY:
▼b Oxford University Press,
▼c [2019].
▼a 1 online resource (xxiii, 293 pages).
▼a text
▼b txt
▼2 rdacontent
▼a computer
▼b c
▼2 rdamedia
▼a online resource
▼b cr
▼2 rdacarrier
▼a Includes bibliographical references and indexes.
▼a Linear time series methods -- Introduction to linear time series models -- Random walks, unit roots, and spurious relationships -- Univariate linear time series models -- Robust parametric inference -- Robust parametric estimation -- Model uncertainty -- Advance -- Bibliography -- Author index -- Subject index.
▼a This text is designed to facilitate reproducibility in econometrics. It does so by using open source software (R) and recently developed tools (R Markdown and bookdown) that allow the reader to engage in reproducible research. Illustrative examples are provided throughout, and a range of topics are covered. Assignments, exams, slides, and a solution manual are available for instructors.
▼a Description based on online resource; title from digital title page (viewed on January 25, 2019).
▼a Master record variable field(s) change: 050
▼a Econometrics.
▼a Open source software.
▼a Econometrics.
▼2 fast
▼0 (OCoLC)fst00901574
▼a Open source software.
▼2 fast
▼0 (OCoLC)fst01046097
▼a BUSINESS & ECONOMICS / Economics / General
▼2 bisacsh
▼a BUSINESS & ECONOMICS / Reference
▼2 bisacsh
▼a Electronic books.
▼i Print version:
▼a Racine, Jeffrey Scott, 1962-
▼t Reproducible econometrics using R.
▼d New York : Oxford University Press, [2019],
▼z 9780190900663
▼w (DLC) 2018024219
▼a NA000000
▼b 00000140
▼3 EBSCOhost
▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1983137
▼a Oxford University Press USA
▼b OUPR
▼n EDZ0001995959
▼a YBP Library Services
▼b YANK
▼n 15893616
▼a YBP Library Services
▼b YANK
▼n 15875571
▼a EBSCOhost
▼b EBSC
▼n 1983137
▼a 최영란
▼a eBook
▼a 92
▼b N$T
| 자료유형 : | eBook |
|---|---|
| ISBN : | 9780190900687 |
| ISBN : | 0190900687 |
| ISBN : | 9780190900670 |
| ISBN : | 0190900679 |
| ISBN : | |
| 개인저자 : | Racine, Jeffrey Scott, 1962-, author. |
| 서명/저자사항 : | Reproducible econometrics using R / Jeffrey S. Racine. |
| 발행사항 : | New York, NY: Oxford University Press, [2019]. |
| 형태사항 : | 1 online resource (xxiii, 293 pages). |
| 서지주기 : | Includes bibliographical references and indexes. |
| 내용주기 : | Linear time series methods -- Introduction to linear time series models -- Random walks, unit roots, and spurious relationships -- Univariate linear time series models -- Robust parametric inference -- Robust parametric estimation -- Model uncertainty -- Advance -- Bibliography -- Author index -- Subject index. |
| 요약 등 : | This text is designed to facilitate reproducibility in econometrics. It does so by using open source software (R) and recently developed tools (R Markdown and bookdown) that allow the reader to engage in reproducible research. Illustrative examples are provided throughout, and a range of topics are covered. Assignments, exams, slides, and a solution manual are available for instructors. |
| 일반주제명 : | Econometrics. -- |
| 일반주제명 : | Open source software. -- |
| 일반주제명 : | Econometrics. -- |
| 일반주제명 : | Open source software. -- |
| 일반주제명 : | BUSINESS & ECONOMICS / Economics / General -- |
| 일반주제명 : | BUSINESS & ECONOMICS / Reference -- |
| 기타형태 저록 : | Print version: Racine, Jeffrey Scott, 1962- Reproducible econometrics using R. New York : Oxford University Press, [2019], 9780190900663 |
| 언어 | 영어 |
| URL : |
|---|
서평쓰기