994 resultados para CORRELATION TIMES


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This research evaluated (a) the correlation between math anxiety, math attitudes, and achievement in math and (b) comparison among these variables in terms of gender among grade 9 students in a high school located in southern Ontario. Data were compiled from participant responses to the Attitudes Toward Math Inventory (ATMI) and the Math Anxiety Rating Scale for Adolescents (MARS-A), and achievement data were gathered from participants’ grade 9 academic math course marks and the EQAO Grade 9 Assessment of Mathematics. Nonparametric tests were conducted to determine whether there were relationships between the variables and to explore whether gender differences in anxiety, attitudes, and achievement existed for this sample. Results indicated that math anxiety was not related to math achievement but was a strong correlate of attitudes toward math. A strong positive relationship was found between math attitudes and achievement in math. Specifically, self-confidence in math, enjoyment of math, value of math, and motivation were all positive correlates of achievement in math. Also, results for gender comparisons were nonsignificant, indicating that gender differences in math anxiety, math attitudes, and math achievement scores were not prevalent in this group of grade 9 students. Therefore, attitudes toward math were considered to be a stronger predictor of performance than math anxiety or gender for this group.

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Letter with the salutation “Dear Sir” It is signed by John I. Mackenzie in which he states that he got the Globe to publish a letter about the Long Point expats which had been sent to the Ottawa Times. Most of the handwriting is illegible, Oct. 26, 1870.

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A torn scrap of paper which gives estimates of times worked for Fred Holmes, Joe Simpson, John Simpson, William Baird and William Case. Much of the text is missing. This is signed by Fred Holmes, Dec. 1857.

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UANL

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UANL

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UANL

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UANL

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This paper proposes finite-sample procedures for testing the SURE specification in multi-equation regression models, i.e. whether the disturbances in different equations are contemporaneously uncorrelated or not. We apply the technique of Monte Carlo (MC) tests [Dwass (1957), Barnard (1963)] to obtain exact tests based on standard LR and LM zero correlation tests. We also suggest a MC quasi-LR (QLR) test based on feasible generalized least squares (FGLS). We show that the latter statistics are pivotal under the null, which provides the justification for applying MC tests. Furthermore, we extend the exact independence test proposed by Harvey and Phillips (1982) to the multi-equation framework. Specifically, we introduce several induced tests based on a set of simultaneous Harvey/Phillips-type tests and suggest a simulation-based solution to the associated combination problem. The properties of the proposed tests are studied in a Monte Carlo experiment which shows that standard asymptotic tests exhibit important size distortions, while MC tests achieve complete size control and display good power. Moreover, MC-QLR tests performed best in terms of power, a result of interest from the point of view of simulation-based tests. The power of the MC induced tests improves appreciably in comparison to standard Bonferroni tests and, in certain cases, outperforms the likelihood-based MC tests. The tests are applied to data used by Fischer (1993) to analyze the macroeconomic determinants of growth.

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Several Authors Have Discussed Recently the Limited Dependent Variable Regression Model with Serial Correlation Between Residuals. the Pseudo-Maximum Likelihood Estimators Obtained by Ignoring Serial Correlation Altogether, Have Been Shown to Be Consistent. We Present Alternative Pseudo-Maximum Likelihood Estimators Which Are Obtained by Ignoring Serial Correlation Only Selectively. Monte Carlo Experiments on a Model with First Order Serial Correlation Suggest That Our Alternative Estimators Have Substantially Lower Mean-Squared Errors in Medium Size and Small Samples, Especially When the Serial Correlation Coefficient Is High. the Same Experiments Also Suggest That the True Level of the Confidence Intervals Established with Our Estimators by Assuming Asymptotic Normality, Is Somewhat Lower Than the Intended Level. Although the Paper Focuses on Models with Only First Order Serial Correlation, the Generalization of the Proposed Approach to Serial Correlation of Higher Order Is Also Discussed Briefly.

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We consider the problem of testing whether the observations X1, ..., Xn of a time series are independent with unspecified (possibly nonidentical) distributions symmetric about a common known median. Various bounds on the distributions of serial correlation coefficients are proposed: exponential bounds, Eaton-type bounds, Chebyshev bounds and Berry-Esséen-Zolotarev bounds. The bounds are exact in finite samples, distribution-free and easy to compute. The performance of the bounds is evaluated and compared with traditional serial dependence tests in a simulation experiment. The procedures proposed are applied to U.S. data on interest rates (commercial paper rate).

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Affiliation: Département de Biochimie, Faculté de médecine, Université de Montréal

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Le cancer du poumon a une incidence et une létalité parmi les plus hautes de tous les cancers diagnostiqués au Canada. En considérant la gravité du pronostic et des symptômes de la maladie, l’accès au traitement dans les plus brefs de délais est essentiel. Malgré l’engagement du gouvernement fédéral et les gouvernements provinciaux de réduire les délais de temps d’attente, des balises pour les temps d’attente pour le traitement d’un cancer ne sont toujours pas établis. En outre, le compte-rendu des indicateurs des temps d’attente n’est pas uniforme à travers les provinces. Une des solutions proposées pour la réduction des temps d’attente pour le traitement du cancer est les équipes interdisciplinaires. J’ai complété un audit du programme interdisciplinaire traitant le cancer du poumon à l’Hôpital général juif (l’HGJ) de 2004 à 2007. Les objectifs primaires de l’étude étaient : (1) de faire un audit de la performance de l’équipe interdisciplinaire à l’HGJ en ce qui concerne les temps d’attente pour les intervalles critiques et les sous-groupes de patients ; (2) de comparer les temps d’attente dans la trajectoire clinique des patients traités à l’HGJ avec les balises qui existent ; (3) de déterminer les facteurs associés aux délais plus longs dans cette population. Un objectif secondaire de l’étude était de suggérer des mesures visant à réduire les temps d’attente. Le service clinique à l’HGJ a été évalué selon les balises proposées par le British Thoracic Society, Cancer Care Ontario, et la balise pan-canadienne pour la radiothérapie. Les patients de l’HGJ ont subi un délai médian de 9 jours pour l’intervalle «Ready to treat to first treatment», et un délai médian de 30 jours pour l’intervalle entre le premier contact avec l’hôpital et le premier traitement. Les patients âgés de plus de 65 ans, les patients avec une capacité physique diminuée, et les patients avec un stade de tumeur limité étaient plus à risque d’échouer les balises pour les temps d’attente.