854 resultados para Autoregressive moving average (ARMA)


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The study examined the intentional use of National Sport Organizations' (NSOs) stated values. Positive Organizational Scholarship (POS) was applied to an Appreciative Inquiry (AI) approach of interviewing NSO senior leaders. One intention of this research was to foster a connection between academia and practitioners, and in so doing highlight the gap between values inaction and values-in-action. Data were collected from nine NSOs through multiple-case studies analysis of interview transcripts, websites, and constitutional statements. Results indicated that while the NSOs operated from a Management by Objectives (MBO) approach they were interested in exploring how Management by Values (MBV) might improve their organization's performance. Eleven themes from the case studies analysis contributed to the development of a framework. The 4-1 framework described how an NSO can progress through different stages by becoming more intentional in how they use their values. Another finding included deepening our understanding of how values are experienced within the NSO and then transferred across the entire sport. Participants also spoke about the tension that arises among their NSO' s values as well as the dominant values held by funding agents. This clash of values needs to be addressed before the tension escalates. Finally, participants expressed a desire to learn more about how values can be used more intentionally to further their organization's purpose. As such, strategies for intentionally leveraging values are also suggested. Further research should explore how helpful the 4-1 framework can be to NSOs leaders who are in the process of identifying or renewing their organization's values.

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Generation Y is entering the workforce in large numbers and, because this generation holds different values than previous generations, accounting firms are having difficulty managing these new hires. I t is important to determine whether Generation Y is associated with meaningful, long-term trends or i f they will adapt to the given situation. Gen Y' s association with average hours worked per person and average salaries in the Canadian Accounting, Marketing, and Legal professions is examined. I find that an increasing percentage of Generation Y employees in the workforce is associated with significant decreases in average hours worked, but is not associated with any significant trend in average salary. I t is concluded that Generation Y is associated with changing trends in the workplace. These trends are contrary to wha t might be expected under traditional definitions of success, therefore it is postulated that Gen Y may view workplace success differently than previous generations.

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The Average White Band's debut album, Show your hand, was released in 1973. The "classic funk and R & B" band included members Alan Gorrie, Owen "Onnie" McIntyre, Malcolm "Mollie" Duncan, Roger Ball, Robbie McIntosh, and Mike Rosen. Rosen was quickly replaced by Hamish Stuart. The band, comprised of Scotsmen, released a second album in 1974 that featured the US number 1/UK Top 10 single "Pick up the Pieces". That same year, Robbie McIntosh died of a heroin overdose and was replaced by Steve Ferrone. The song "Cut the Cake" from their third album made the US top 10, and subsequent releases in the late 1970s and early 1980s proved successful. The members largely pursued individual projects in the years that followed, but re-formed in 1989 (with original members Gorrie, Ball and McIntyre, and new members Alex Ligertwood and Eliot Lewis) and released the album Aftershock. Over the years, the band's members have changed, and the band is currently comprised of Onnie McIntyre, Rocky Bryant, Alan Gorrie, Fred "Freddy V" Vigdor and Klyde Jones. Their most recent album, Times Squared, was released in 2009.

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Globalization has resulted in large-scale international and local assessments closely tied to notions of accountability and competitiveness in a globalized economy. Although policy makers seek to ensure citizens meet the demands of a global knowledge-based economy, such assessments may also impede the development of requisite 21st century skills. While standardization currently is viewed as the most effective measurement of student achievement, several Canadian and international jurisdictions are moving toward assessment for learning (AfL). This conceptual study sought to identify whether AfL or standardized assessment most effectively meets 21st century learning goals in the wake of rapid global change. It applies a Story Model theoretical framework to understand the current, the new emerging, and the future ideal story of education from a personal, cultural, and global lens. The study examines the main critiques and/or challenges of standardized testing, the benefits of AfL for student learning, and new teaching and assessment approaches to the development of 21st century learning goals. The study applies the Story Model’s inside-outside/past-future approach to determine the future direction of assessment. Results show that the new story of assessment will most likely entail a model that integrates both standardized testing and in-class assessments in the form of AfL and PBL.

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A moving advertisement for Garden City Dye Works, reads: We have removed from No. 70, St. Paul St. to No. 125 St. Paul St. Opp. the Grand Central Hotel, where we will be pleased to see our old and many new customers. Remember the place. In our new quarters we are better able to meet the requirements of the public in our line. We are up-to-date in all branches of Cleaning and Dying Ladies' and Gent's wearing apparel. Garden City Works, J.L. Wilbur. 125 St. Paul St. Phone 54. P.S. Also agents for Parisian Laundry Co.

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For inviscid fluid flow in any n-dimensional Riemannian manifold, new conserved vorticity integrals generalizing helicity, enstrophy, and entropy circulation are derived for lower-dimensional surfaces that move along fluid streamlines. Conditions are determined for which the integrals yield constants of motion for the fluid. In the case when an inviscid fluid is isentropic, these new constants of motion generalize Kelvin’s circulation theorem from closed loops to closed surfaces of any dimension.

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This paper explores how internationalization is understood and experienced in German academic libraries. Its main purpose is to move the discussion of internationalization in academic libraries beyond the boundaries of English-speaking North America by investigating a European perspective. Its secondary purpose is to investigate the role of English in German academic libraries. An online survey and a series of in-person interviews conducted in Germany in April 2015 provided the data for this study. What emerged are a series of stated differences and similarities between North America and Germany informed by the two overarching themes of implicit internationalization and plurilingualism, the ability to switch from one language to another as required.

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Note from the Port Dalhousie and Thorold Railway to Mrs. E. Parnell with prices for digging a well, moving a hog pen and repairing a fence, n.d.

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Tesis (Maestría en Ciencias Penales) U.A.N.L.

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In this paper, we develop finite-sample inference procedures for stationary and nonstationary autoregressive (AR) models. The method is based on special properties of Markov processes and a split-sample technique. The results on Markovian processes (intercalary independence and truncation) only require the existence of conditional densities. They are proved for possibly nonstationary and/or non-Gaussian multivariate Markov processes. In the context of a linear regression model with AR(1) errors, we show how these results can be used to simplify the distributional properties of the model by conditioning a subset of the data on the remaining observations. This transformation leads to a new model which has the form of a two-sided autoregression to which standard classical linear regression inference techniques can be applied. We show how to derive tests and confidence sets for the mean and/or autoregressive parameters of the model. We also develop a test on the order of an autoregression. We show that a combination of subsample-based inferences can improve the performance of the procedure. An application to U.S. domestic investment data illustrates the method.

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The GARCH and Stochastic Volatility paradigms are often brought into conflict as two competitive views of the appropriate conditional variance concept : conditional variance given past values of the same series or conditional variance given a larger past information (including possibly unobservable state variables). The main thesis of this paper is that, since in general the econometrician has no idea about something like a structural level of disaggregation, a well-written volatility model should be specified in such a way that one is always allowed to reduce the information set without invalidating the model. To this respect, the debate between observable past information (in the GARCH spirit) versus unobservable conditioning information (in the state-space spirit) is irrelevant. In this paper, we stress a square-root autoregressive stochastic volatility (SR-SARV) model which remains true to the GARCH paradigm of ARMA dynamics for squared innovations but weakens the GARCH structure in order to obtain required robustness properties with respect to various kinds of aggregation. It is shown that the lack of robustness of the usual GARCH setting is due to two very restrictive assumptions : perfect linear correlation between squared innovations and conditional variance on the one hand and linear relationship between the conditional variance of the future conditional variance and the squared conditional variance on the other hand. By relaxing these assumptions, thanks to a state-space setting, we obtain aggregation results without renouncing to the conditional variance concept (and related leverage effects), as it is the case for the recently suggested weak GARCH model which gets aggregation results by replacing conditional expectations by linear projections on symmetric past innovations. Moreover, unlike the weak GARCH literature, we are able to define multivariate models, including higher order dynamics and risk premiums (in the spirit of GARCH (p,p) and GARCH in mean) and to derive conditional moment restrictions well suited for statistical inference. Finally, we are able to characterize the exact relationships between our SR-SARV models (including higher order dynamics, leverage effect and in-mean effect), usual GARCH models and continuous time stochastic volatility models, so that previous results about aggregation of weak GARCH and continuous time GARCH modeling can be recovered in our framework.