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Proxy (statistics)

About: Proxy (statistics) is a research topic. Over the lifetime, 5257 publications have been published within this topic receiving 94504 citations. The topic is also known as: proxy variable & proxy measurement.


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Patent
18 May 2005
TL;DR: In this paper, the authors present a method for clustered tunneling of requests in application servers and other systems, where the client is configured to include a tunneling layer within which the proxy address is set, and advertised address of the cluster member is then set in a header at the client.
Abstract: A sysEem and method for clustered tunneling of requests in application servers and other systems is provided. The system includes a client (128), a cluster having a plurality of member (122, 124, 126), and a proxy (130). The cluster does not advertise the internal addresses of its members since clients might attempt to directly connect to that member. Instead, the client is configured to include a tunneling layer within which the proxy address is set. The advertised address of the cluster member is then set in a header at the client. During runttime, the client connects to the proxy as before, but the then uses uts internal information to connect or communicate with the appropriate cluster member. In accordance with an embodiment the client sets a cookie ( 134)whichis then sent to the proxy. The proxy re-writes the cookie with the appropriate cluster member information and uses this information to tunnel the request to the appropriate server.

29 citations

Journal ArticleDOI
TL;DR: Nonspouse proxies misclassified exposures more than spouse proxies with the exception of cigarettes, and the slope of a dose-response curve was decreased from 6.6% to 100% depending on the exposure and the type of proxy respondent.
Abstract: This investigation addressed three questions about misclassification in a case-control study of risk factors for pancreatic cancer in which all exposure data were obtained from proxy respondents. These questions were: (1) To what degree was misclassification dependent on the type of exposure? (2) To what degree did misclassification vary by the type of proxy? (3) What was the magnitude of the effect of proxy misclassification on odds ratios measured across several levels of exposure? To answer these questions, we interviewed 163 control (index) subjects and next-of-kin (proxy) respondent pairs. Each of the controls and their respective proxies reported the control's use of coffee, cigarettes, and alcohol and weekly exposure to beef, milk, bacon, fruits, and vegetables. Nonspouse proxies misclassified exposures more than spouse proxies with the exception of cigarettes. Cigarette use was the most accurately reported exposure, followed by alcohol, coffee, and foods. For nondifferential misclassification between cases and controls, the slope of a dose-response curve was decreased from 6.6% to 100% depending on the exposure and the type of proxy respondent. Investigators conducting studies using proxy respondents need to recognize that misclassification is a function of multiple factors, including both the type of exposures under study and the type of proxies available.

29 citations

Journal ArticleDOI
TL;DR: A new proxy blind multi-signature scheme is presented, which does not need a secure channel and is provably secure under the Random Oracle model.

29 citations

Posted Content
TL;DR: In this article, the authors build a panel structural vector autoregression (SVAR) model for a short panel of 119 countries over 10 years and find that exogenous shocks to a proxy for institutional quality have a positive and statistically significant effect on GDP per capita.
Abstract: Both sides of the institutions and growth debate have resorted largely to microeconometric techniques in testing hypotheses. In this paper, I build a panel structural vector autoregression (SVAR) model for a short panel of 119 countries over 10 years and find support for the institutions hypothesis. Controlling for individual fixed effects, I find that exogenous shocks to a proxy for institutional quality have a positive and statistically significant effect on GDP per capita. On average, a 1 percent shock in institutional quality leads to a peak 1.7 percent increase in GDP per capita after six years. Results are robust to using a different proxy for institutional quality. There are different dynamics for advanced economies and developing countries. This suggests diminishing returns to institutional quality improvements.

29 citations

Journal ArticleDOI
TL;DR: Evaluating a library's collection is not an acceptable proxy for evaluating collection development and explicit evaluation of collection development is argued for.

29 citations


Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20231,242
20222,473
2021334
2020262
2019250
2018282