129,008 research outputs found
N. MacKinnon
No full text"SX 14523 N MacKinnon (Pte) (Aged 19 yrs) 23 Brigade Ordnance Field Park(B Divn) 4.11.41 to 23.7.43 Larrakeyah [arrow] Adelaide River."SX 14523 N. MacKinnon (Private) (Aged 19 years). 23 Brigade Ordnance Field Park (B Division) 4.11.41 to 23.7.43. Larrakeyah [arrow] Adelaide River
Rewilding Victoria: remembering and restoring nature in the city
No full textTo know what is, you must know what was. This is the simple truth that J.B. MacKinnon explores in his new book The once and future world: nature as it is, as it was, as it could be. The natural world, he argues, has been lost not only to human rapaciousness, but also through a great forgetting. MacKinnon calls on us to examine the nature of the past in order to "rewild" the earth in the future, "The history of nature is not only a lament," he writes."It is also an invitation to envision another world." MacKinnon is the author or co-author of four books of nonfiction, including The 100-mile diet (with Alisa Smith), a bestseller widely recognized as a catalyst of the local foods movement, His writing in print and online has won more than a dozen national and international awards, including Canada's highest prize for literary nonfiction. MacKinnon lives in Vancouver, Canada.Lansdowne Lecture SeriesFacultyUnreviewe
Bruce MacKinnon, ca. 1996
No full textb&w printPoor condition with bad quality photo paper, colour is brittle, cracking and browning.Photo of Bruce MacKinnon, Halifax Chronicle-Herald political cartoonist and SMU honourary degree (doctor of letters) recipient, poses for a photo (1996).Written on back: 'Bruce MacKinnon H/Degree '96 bio' (sticky note); 'Bruce MacKinnon'; 'Apr 18 1994'; 'May 10 1993
Bootstrap Testing in Nonlinear Models
No full textWhen a model is nonlinear, bootstrap testing can be expensive because of the need to perform at least one nonlinear estimation for every bootstrap sample. We show that it may be possible to reduce computational costs by performing only a fixed, small number of artificial regressions, or Newton steps, for each bootstrap sample. The number of iterations needed is smaller for likelihood ratio tests than for other types of classical tests. The suggested procedures are applied to tests of slope coefficients in the tobit model, where asymptotic procedures often work surprisingly poorly. In contrast, bootstrap tests work remarkably well, and very few iterations are needed to compute them.bootstrapping, hypothesis testing, tobit model, one-step estimation
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Improving the reliability of bootstrap tests with the fast double bootstrap
No full textTwo procedures are proposed for estimating the rejection probabilities of bootstrap tests in Monte Carlo experiments without actually computing a bootstrap test for each replication. These procedures are only about twice as expensive (per replication) as estimating rejection probabilities for asymptotic tests. Then a new procedure is proposed for computing bootstrap P values that will often be more accurate than ordinary ones. This “fast double bootstrap” is closely related to the double bootstrap, but it is far less computationally demanding. Simulation results for three different cases suggest that the fast double bootstrap can be very useful in practice.Bootstrap
Improving the Reliability of Bootstrap Tests with the Fast Double Bootstrap
No full textWe first propose two procedures for estimating the rejection probabilities of bootstrap tests in Monte Carlo experiments without actually computing a bootstrap test for each replication. These procedures are only about twice as expensive (per replication) as estimating rejection probabilities for asymptotic tests. We then propose a new procedure for computing bootstrap P values that will often be more accurate than ordinary ones. This "fast double bootstrap" is closely related to the double bootstrap, but it is far less computationally demanding. Simulation results for three different cases suggest that this procedure can be very useful in practice.bootstrap test, double bootstrap, Monte Carlo experiment, rejection frequency, fast double bootstrap, FDB
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Football Player Craig MacKinnon, 1987
No full textb&w photographVery good conditionPortrait of Craig MacKinnon of Saint Mary's football team.Photo of entire team found on page 110 in the 1987 yearbook
Bootstrap Hypothesis Testing
No full textThis paper surveys bootstrap and Monte Carlo methods for testing hypotheses in econometrics. Several different ways of computing bootstrap P values are discussed, including the double bootstrap and the fast double bootstrap. It is emphasized that there are many different procedures for generating bootstrap samples for regression models and other types of model. As an illustration, a simulation experiment examines the performance of several methods of bootstrapping the supF test for structural change with an unknown break point.bootstrap test, supF test, wild bootstrap, pairs bootstrap, moving block bootstrap, residual bootstrap, bootstrap P value
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