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[Obituary for Scott Russell Davidson]
Obituary for Scott Russell Davidson dated to 2011. A black and white photograph of Mr. Davidson wearing a tuxedo appears at the top of the document. The obituary discusses his performances with the Turtle Creek Chorale
[Obituary for Scott Russell Davidson]
Obituary for Scott Russell Davidson dated to 2011. A black and white photograph of Mr. Davidson wearing a tuxedo appears at the top of the document. The obituary discusses his performances with the Turtle Creek Chorale
An Improved Fast Double Bootstrap
The fast double bootstrap can improve considerably on the single bootstrap when the bootstrapped statistic is approximately independent of the bootstrap DGP. This is because, among the approximations that underlie the fast double bootstrap (FDB), is the assumption of such independence. In this paper, use is made of a discrete
formulation of bootstrapping in order to develop a conditional version of the FDB,
which makes use of the joint distribution of a statistic and its bootstrap counterpart,
rather than the full joint distribution of the statistic and the bootstrap data-generating
process (DGP), which is available only by means of a simulation as costly as the full
double bootstrap. Simulation evidence shows that the conditional FDB can greatly
improve on the performance of the FDB when the statistic and the bootstrap DGP
are far from independent, while giving similar results in cases of near independence
Bootstrap Performance with Heteroskedasticity
The aim of this paper is to illustrate more than one instance of poor bootstrap performance, and to see how available diagnostic techniques can indicate reliably when and how this poor performance can arise. Two particular features that seem to be important to explain bootstrap discrepancy are illustrated by some Monte Carlo experiments
Virtual Book Launch: Russ Davidson author of: Joaquín Ortega: Forging Pan-Americanism at the University of New Mexico
Russ Davidson, author of Joaquín Ortega: Forging Pan-Americanism at the University of New Mexico In conversation with Felipe Gonzales and Christine Sierra
Russ Davidson served as a curator of Latin American and Iberian collections and was a professor of librarianship at the University of New Mexico from 1979 to 2004.
Phillip b. (Felipe) Gonzales is a professor emeritus of sociology at the University of New Mexico. As a historical sociologist, his research has primarily focused on the Nuevomexicano Hispanic group of New Mexico. He is the author, co-author, or editor of four books and numerous articles on Nuevomexicano identity, politics, and economic status.
Christine Marie Sierra is a professor emerita of political science at the University of New Mexico and a former director of the Southwest Hispanic Research Institute. Her teaching career at UNM spanned twenty-eight years, and her research has focused on the study of race, ethnicity, and gender in US politics, Mexican American activism on immigration policy, and Hispanic politics in New Mexico.https://digitalrepository.unm.edu/laii_events/1091/thumbnail.jp
Q & A - Eric Davidson
Eric Davidson graduated from the University of Pennsylvania in 1954 and received his PhD from Rockefeller University in 1963. He remained at Rockefeller until 1971 when he moved to Caltech in Pasadena, California. He was elected to the U.S. National Academy of Sciences in 1985, and is at present Norman Chandler Professor of Cell Biology in the Division of Biology, Caltech. He is the author of 5 books and over 400 papers on developmental gene regulation and evolution of genomic programs for development. For the last decade his work has focused on theory and operation of developmental gene regulatory networks
Frege and Davidson on Predication
Davidson's conception of predication is examined and critically discussed with reference to Frege's functional conception of concept and first-and higher order predication. The author argues that Frege's account of predication for all its difficulties, included the ones pointed aout by Davidson, is still the best at our disposal
Gertrude M. Davidson telegram to Franklin County Woman Suffrage Association, October 22, 1914
This telegram was sent on October 22, 1914, to the Woman Suffrage Headquarters in Franklin County, Ohio. Gertrude M. Davidson, a member of the Scioto County Association for women's suffrage, sent the telegram to request fliers in support of women's suffrage. Davidson said she needed the fliers by her organization's Saturday afternoon meeting. She requested the flier titled "Women in the Home," but stated that if there weren't enough of those to send the best fliers they had on hand.
The Franklin County Woman Suffrage Association was formed in 1912, after the Ohio Constitutional Convention elected to bring to a vote the question of removing the words "white male" from the state constitution with regard to voting rights. Headquartered in the Chamber of Commerce building in Columbus, Ohio, the organization put out regular publications, organized public speeches and meetings, distributed literature and held parades in support of the suffrage movement. Women's suffrage in Ohio was defeated in a special election in 1912 and again in 1914 and 1916 before a resolution narrowly passed in 1917 allowing municipal voting by women in Columbus. In 1920, the 19th Amendment passed, extending the vote to women and prohibiting state and federal government from denying suffrage on the basis of sex
Inference on Income Distributions
This paper attempts to provide a synthetic view of varied techniques available for per- forming inference on income distributions. Two main approaches can be distinguished: one in which the object of interest is some index of income inequality or poverty, the other based on notions of stochastic dominance. From the statistical point of view, many techniques are common to both approaches, although of course some are specific to one of them. I assume throughout that inference about population quantities is to be based on a sample or samples, and, formally, all randomness is due to that of the sampling process. Inference can be either asymptotic or bootstrap-based. In principle, the bootstrap is an ideal tool, since in this paper I ignore issues of complex sampling schemes, and suppose that observations are IID. However both bootstrap inference, and, to a considerably greater extent, asymptotic inference can fall foul of difficulties associated with the heavy right-hand tails observed with many income distributions. I mention some recent attempts to circumvent these difficulties.Income distribution; delta method; asymptotic inference; bootstrap; influence function; empirical process
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