网站综合信息 elsa.berkeley.edu
- 标题:
- Econometrics Laboratory Software Archi
- 关键字:
- 描述:
- 域名信息
- 注册日期: 到期时间:2017年07月31日
邮箱:noc 电话:(510) 664-9000
注册商:
- 服务器空间
- IP:128.32.105.8 同IP网站1个 详情
地址:美国 加州大学伯克利分校
- 备案信息
- 备案号:
域名流量Alexa排名
域名注册Whois信息
berkeley.edu
到期时间: 2017-07-31注册邮箱: noc
联系电话: (510) 664-9000
获取时间: 2016年10月06日 09:34:32
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Domain Name: BERKELEY.EDU
Registrant:
University of California at Berkeley
Information Systems & Technology
Telecommunications - 2484 Shattuck #4894
Berkeley, CA 94720-4894
UNITED STATES
Administrative Contact:
UCB NOC
University of California, Berkeley
IST-Telecommunications
2484 Shattuck Ave, #4894
Berkeley, CA 94720-4894
UNITED STATES
(510) 664-9000
noc
Technical Contact:
UCB NOC
University of California, Berkeley
IST-Telecommunications
2484 Shattuck Ave, #4894
Berkeley, CA 94720-4894
UNITED STATES
(510) 664-9000
noc
Name Servers:
ADNS1.BERKELEY.EDU 128.32.136.3
ADNS2.BERKELEY.EDU 128.32.136.14
PHLOEM.UOREGON.EDU
NS.V6.BERKELEY.EDU 2607:f140:ffff:fffe::6, 128.32.136.6
SNS-PB.ISC.ORG
AODNS1.BERKELEY.EDU 192.35.225.133, 2607:f010:3f8:8000:0:ff:fe00:53
AODNS2.BERKELEY.EDU 128.253.35.148
Domain record activated: 1985-Apr-24
Domain record last updated: 2015-Oct-26
Domain expires: 2017-Jul-31
网站头文件(HTTP Header)
HTTP/1.1 200 OK 访问时间:2014年08月30日 14:50:05 服务器:Apache/2.2.22 (Ubuntu) 接受单位:字节 动作:Accept-Encoding Content-Encoding: gzip 文件大小:3652 Keep-Alive: timeout=15, max=100 连接:Keep-Alive 类型:text/html
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其他后缀域名
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- 相关信息
- berkeley.com
- 已注册 1994年09月19日
- berkeley.net
- 已注册 1996年05月01日
- berkeley.org
- 已注册 1995年11月02日
- berkeley.cn
- 已注册 2006年08月07日
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抓取时间:2014年08月30日 14:48:16
网址:http://elsa.berkeley.edu/
标题:Econometrics Laboratory Software Archive at the University o
关键字:
描述:
主体:
网址:http://elsa.berkeley.edu/
标题:Econometrics Laboratory Software Archive at the University o
关键字:
描述:
主体:
549 Evans Hall #3890, Berkeley, CA 94720-3890Tel: (510) 642-8724 Fax: (510) 642-0638HOME WELCOME CODE DATA DOCUMENTSSitePeopleGive to Economics at CalUCB Privacy StatementNEW ALGORITHMSDownload new econometric and statistical algorithms, test datasets, and documentation. Latest contributions are by Marcelo Moreira and Brian Poi, with a method for implementing conditional tests with correct size in the simultaneous equations model (Stata); Kenneth Train, with programs, datasets, and sample output on discrete choice with simulation and also mixed logits with bounded distributions using hierarchichal Bayes methods (Gauss); and by Peter Adams, Michael Hurd, Daniel McFadden, Angela Merrill, and Tiago Ribeiro, with datasets, data generation code, and analysis files for replicating "Healthy, Wealthy, and Wise? Tests for Direct Causal Paths between Health and Socioeconomic Status" (SAS, TSP, SST, and Matlab were used). Care to contribute your programs? We encourage your contributions! TSP MANUALS The TSP 4.4 User's Guide and TSP 4.5 Reference Manual are online for viewing, printing, and downloading. We offer both postscript and pdf versions. Learn about ELSA's Logo: The Geometry of the Gauss-Markov Theorem NEW ONLINE COURSE Discrete Choice Methods with Simulation, including videotaped lectures, problems sets with data files and programs, and reading list. TUTORIALS Find LaTeX, Perl, SAS, TCP/IP, Unix, and other software information on the Lab's tutorials page. DATA Check our unique data sets (downloadable) and other pointers to popular economic databases. TEXTBOOK ARCHIVE Full text versions of econometrics books are available. A small collection, but growing. Our newest addition is Kenneth Train's Discrete Choice Methods with Simulation, Cambridge University Press, 2002. OUR FAMILY Economics Department || Econometrics Laboratory || Institute of Business and Economic Research || Center for Regulatory Policy || Center for Labor Economics || California Census Data Research Center || Burch Tax Policy and Public Finance Center || University of California, Berkeley Last modified on May 14 2003, 04:10 PM PDT © 1994-2003 University of California Regents [Non-JavaScript browser: use elsa at econ.berkeley.edu]
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