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Institution

York University

EducationToronto, Ontario, Canada
About: York University is a education organization based out in Toronto, Ontario, Canada. It is known for research contribution in the topics: Population & Poison control. The organization has 18899 authors who have published 43357 publications receiving 1568560 citations.


Papers
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Journal ArticleDOI
TL;DR: Tanaka et al. as mentioned in this paper developed the ME2 estimator for moment structures and used it to measure the stability of depression in college students, and found that the maximum entropy measurement error of singular covariance matrices in under-sized samples is larger than that of the full covariance matrix.
Abstract: s International, 45, 924B. Tanaka J. S. (1986). A note on the technical development of the ME2 estimator for moment structures. Manuscript in preparation. Tanaka, J. S., & Huba, G. J. (1984). Hierarchical confirmatory factor analyses of psychological distress measures. Journal of Personality and Social Psychology, 46, 621-635. Tanaka, J. S., & Huba, G. J. (1985). A fit index for covariance structure models under arbitrary GLS estimation. British Journal of Mathemat- ical and Statistical Psychology, 38, 197-201. Tanaka, J. S., & Huba, G. J. (1986). Estimation strategies in structural models: The "goodness" of goodness of fit. Manuscript in preparation. Tanaka, J. S., & Huba, G. J. (in press). Assessing the stability of depression in college students. Mul- tivariate Behavioral Research. This content downloaded from 157.55.39.138 on Thu, 01 Dec 2016 05:43:19 UTC All use subject to http://about.jstor.org/terms 146 Child Development Theil, H. (1982). Some recent and new results on the maximum entropy distribution. Statistics & Probability Letters, 1, 17-22. Theil, H., & Laitinen, K. (1980). Singular moment matrices in applied econometrics. In P. R. Krishnaiah (Ed.), Multivariate analysis-V (pp. 629-649). Amsterdam: North-Holland. Tucker, L. R., & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38, 1-10. Tukey, J. W. (1986). Sunset salvo. American Statis- tician, 40, 72-76. Vinod, H. D. (1982). Maximum entropy measurement error estimates of singular covariance matrices in undersized samples. Journal of Econometrics, 20, 163-174. Wechsler, D. (1967). Manual for the Wechsler Pre- school and Primary Scale of Intelligence. New York: Psychological Corp. White, H. (1984). Asymptotic theory for econome- tricians. Orlando, FL: Academic Press. Woodward, J. A., & Bentler, P. M. (1978). A statisti- cal lower bound to population reliability. Psychological Bulletin, 85, 1323-1326. This content downloaded from 157.55.39.138 on Thu, 01 Dec 2016 05:43:19 UTC All use subject to http://about.jstor.org/terms

927 citations

Reference EntryDOI
15 Oct 2005
TL;DR: In this paper, the authors discuss MCPs that can be used to investigate simple pairwise differences between treatment group means, as well as complex comparisons (i.e., nonpairwise comparisons) between treatment groups means.
Abstract: Multiple comparison procedures (MCPs) are frequently adopted by applied researchers to locate specific differences between treatment groups. That is, omnibus test statistics, such as the analysis of variance F test, can only signify that effects are present, not which specific groups differ from one another (when there are more than two groups). In our paper, we discuss MCPs that can be used to investigate simple pairwise differences between treatment group means, as well as MCPs that can be used to examine complex comparisons (i.e., nonpairwise comparisons) between treatment group means. In particular, we discuss simultaneous as well as stepwise MCPs, emphasizing procedures that can be utilized when the derivational assumptions of the classical procedures of normality and variance homogeneity do not hold. Keywords: pairwise and complex comparisons; simultaneous and stepwise procedures; Type I error rates; robust procedures

923 citations

Journal ArticleDOI
TL;DR: In this paper, the authors determined the number counts and z = 0-5 luminosity function for a well-defined, homogeneous sample of quasars from the Sloan Digital Sky Survey (SDSS).
Abstract: We determine the number counts and z = 0-5 luminosity function for a well-defined, homogeneous sample of quasars from the Sloan Digital Sky Survey (SDSS). We conservatively define the most uniform statistical sample possible, consisting of 15,343 quasars within an effective area of 1622 deg2 that was derived from a parent sample of 46,420 spectroscopically confirmed broad-line quasars in the 5282 deg2 of imaging data from SDSS Data Release 3. The sample extends from i = 15 to 19.1 at z 3 and to i = 20.2 for z 3. The number counts and luminosity function agree well with the results of the Two Degree Field QSO Redshift Survey (2QZ) at redshifts and luminosities at which the SDSS and 2QZ quasar samples overlap, but the SDSS data probe to much higher redshifts than does the 2QZ sample. The number density of luminous quasars peaks between redshifts 2 and 3, although uncertainties in the selection function in this range do not allow us to determine the peak redshift more precisely. Our best-fit model has a flatter bright-end slope at high redshift than at low redshift. For z < 2.4 the data are best fit by a redshift-independent slope of ? = -3.1 [?(L) ? L?]. Above z = 2.4 the slope flattens with redshift to ? -2.37 at z = 5. This slope change, which is significant at the 5 ? level, must be accounted for in models of the evolution of accretion onto supermassive black holes.

916 citations

Journal ArticleDOI
Richard J. Abbott1, T. D. Abbott2, Sheelu Abraham3, Fausto Acernese4  +1334 moreInstitutions (150)
TL;DR: In this paper, the authors reported the observation of a compact binary coalescence involving a 222 −243 M ⊙ black hole and a compact object with a mass of 250 −267 M ⋆ (all measurements quoted at the 90% credible level) The gravitational-wave signal, GW190814, was observed during LIGO's and Virgo's third observing run on 2019 August 14 at 21:10:39 UTC and has a signal-to-noise ratio of 25 in the three-detector network.
Abstract: We report the observation of a compact binary coalescence involving a 222–243 M ⊙ black hole and a compact object with a mass of 250–267 M ⊙ (all measurements quoted at the 90% credible level) The gravitational-wave signal, GW190814, was observed during LIGO's and Virgo's third observing run on 2019 August 14 at 21:10:39 UTC and has a signal-to-noise ratio of 25 in the three-detector network The source was localized to 185 deg2 at a distance of ${241}_{-45}^{+41}$ Mpc; no electromagnetic counterpart has been confirmed to date The source has the most unequal mass ratio yet measured with gravitational waves, ${0112}_{-0009}^{+0008}$, and its secondary component is either the lightest black hole or the heaviest neutron star ever discovered in a double compact-object system The dimensionless spin of the primary black hole is tightly constrained to ≤007 Tests of general relativity reveal no measurable deviations from the theory, and its prediction of higher-multipole emission is confirmed at high confidence We estimate a merger rate density of 1–23 Gpc−3 yr−1 for the new class of binary coalescence sources that GW190814 represents Astrophysical models predict that binaries with mass ratios similar to this event can form through several channels, but are unlikely to have formed in globular clusters However, the combination of mass ratio, component masses, and the inferred merger rate for this event challenges all current models of the formation and mass distribution of compact-object binaries

913 citations


Authors

Showing all 19301 results

NameH-indexPapersCitations
Dan R. Littman157426107164
Martin J. Blaser147820104104
Aaron Dominguez1471968113224
Gregory R Snow1471704115677
Joseph E. LeDoux13947891500
Kenneth Bloom1381958110129
Osamu Jinnouchi13588586104
Steven A. Narod13497084638
David H. Barlow13378672730
Elliott Cheu133121991305
Roger Moore132167798402
Wendy Taylor131125289457
Stephen P. Jackson13137276148
Flera Rizatdinova130124289525
Sudhir Malik130166998522
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023180
2022528
20212,675
20202,857
20192,426
20182,137