...when the student moves in an unsafe fashion), license suspended (result of receiving 3 tickets). After handing out the licenses, the students spread out and begin to move according to the cue called out by the police officer. Cues = speed limit 30 mph (walk), bumpy road ahead (skip), narrow road ahead (gallop), school crossing (walk in slow motion), road construction (leap over the potholes or hoops on the floor), flat tire (hop), interstate drive (run). Driving area can be reduced to increase bad driving conditions. Knowledge & Skill Student Expectations (K.8) Reading/vocabulary development. The student develops an extensive vocabulary. (C) identify words that name persons, places, or things and words that name actions (K-1). (K.9) Reading/comprehension. The students uses a variety of strategies to comprehend selections read aloud. (A) use prior knowledge to anticipate meaning and make sense of text (K-3). (K.12) Reading/inquiry/research. The student generates questions and conducts research about topics introduced through selections read aloud and from a variety of other sources. (B) establish purposes for reading or...
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...Research Paper Trade union negotiating officials’ use and non-use of e no use on-u Acas conciliation in industrial disputes s Ref: 07/10 2010 Clare Ruhemann (Labour Research Department) For any further information on this study, or other aspects of the Acas Research and Evaluation programme, please telephone 020 7210 3673 or email research@acas.org.uk Acas research publications can be found at www.acas.org.uk/researchpapers ISBN 978-0-9565931-4-6 Trade union negotiating officials’ use and non-use of Acas conciliation in industrial disputes October 2010 Labour Research Department Disclaimer The views in this report are the author’s own and do not necessarily reflect those of the Acas Council. Any errors or inaccuracies are the responsibility of the author alone. 2 Table of contents ACKNOWLEDGEMENTS.................................................................................. 4 EXECUTIVE SUMMARY .................................................................................. 5 1. INTRODUCTION....................................................................................... 7 1.1 Background..................................................................................7 1.2 Method........................................................................................7 Building a sample-frame of officials...........................................7 1.2.1 1.2.2 Development of hypotheses .......................................................
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...Forecasting the USD/COP Exchange Rate: A Random Walk with a Variable Drift Peter Rowland Banco de la República* Abstract This study develops three exchange rate models as well as a simple statistical model defined as a random walk with a variable drift. The exchange rate models all use the purchasing power parity hypothesis to account for the long-term relationships between prices and the exchange rate, together with error correction models to represent any shortterm dynamics. The models are estimated for the USD/COP rate of exchange, and their forecast performance is compared to that of a simple random walk as well as to that of the random walk with a variable drift term. Two of the models are shown to outperform the simple random walk on the 12 and 24-months forecasting horizon. However, all the models are outperformed by the random walk with a variable drift, where the drift term is estimated using a Kalman filter. The results suggest that fundamental models might only be a useful tool for forecasting of the exchange rate in the very long run. The opinions expressed here are those of the author and not necessarily of the Banco de la República, the Colombian Central Bank, nor of its Board of Directors. I express my thanks to Luis Eduardo Arango, Javier Gómez, and Luis Fernando Melo for helpful comments and suggestions. Any remaining errors are my own. * Contents 1 2 2.1 2.2 2.3 2.4 2.5 2.6 3 3.1 3.2 3.3 3.4 3.5 3.6 4 4.1 4.2 4.3 5 Introduction Exchange Rate Models...
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...replacement. And so the CAPM remains an important model in practical investment and financial management decision making. Calculating Beta: The most important component in calculating the required return to shareholder (from the CAPM) is the company’s beta. The CAPM can be succinctly stated as: k s k RF k M k RF s k RF Market Risk Premium s [1] The original model was conceived of theoretically, and was expected to be forward looking. Careful reading of Sharpe’s original work show that the market assesses systematic risk looking at expected future covariance of the company’s returns with that of the overall market. It is assumed that these covariances are unbiased and efficient estimates of the observed relationships ex post facto. Traditionally the CAPM relationship is estimated using simple regression on historical outcomes, where ks is the y variable, and kM-kRF (or the market risk premium) is the only x variable. Care must be taken that the returns plugged into the regression are all for the same period. Calculated stock returns should be annualized if the risk-free rate is an annual rate. The market risk premium is merely the difference between the return to the market portfolio and the risk-free rate. Academics typically use a value weighted...
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...CHAPTER 1 THE PROBLEM Introduction The classroom is the place bounded by the wall and roof which teachers houses their students for the purpose of giving instruction to their students. In other words, it is a place where teachers and students engage in discussion. To some teachers, classroom teaching is a complex process in a complex environment whereas to others, classroom teaching is like rearing their own children in their own home. The classroom is an immediate environment where management is applied in order for students to acquire formal knowledge. It is made up of the teacher, students, learning devices, and the learning environment. Management, on the other hand, can be seen as a process of designing and maintaining any setting in which people work in groups for the purpose of achieving common goals. The Oxford Dictionary defines management as the act of running or controlling or skill of dealing with people or situations in any way. Loomiz (1980) defined management as a method where a group of people at the highest level of organization plan, organize, communicate, coordinate, control and direct the actions and activities of people who work for the organization toward the achievement of organizational objectives. In the school setting, in order to achieve its aims, a school has to have objectives, and to achieve these objectives, the various people with responsibilities in the school, especially in the classroom have to plan organize and lead. Classroom management...
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...This is page 57 Printer: Opaque this 3 Time Series Concepts 3.1 Introduction This chapter provides background material on time series concepts that are used throughout the book. These concepts are presented in an informal way, and extensive examples using S-PLUS are used to build intuition. Section 3.2 discusses time series concepts for stationary and ergodic univariate time series. Topics include testing for white noise, linear and autoregressive moving average (ARMA) process, estimation and forecasting from ARMA models, and long-run variance estimation. Section 3.3 introduces univariate nonstationary time series and defines the important concepts of I(0) and I(1) time series. Section 3.4 explains univariate long memory time series. Section 3.5 covers concepts for stationary and ergodic multivariate time series, introduces the class of vector autoregression models, and discusses long-run variance estimation. Rigorous treatments of the time series concepts presented in this chapter can be found in Fuller (1996) and Hamilton (1994). Applications of these concepts to financial time series are provided by Campbell, Lo and MacKinlay (1997), Mills (1999), Gourieroux and Jasiak (2001), Tsay (2001), Alexander (2001) and Chan (2002). 58 3. Time Series Concepts 3.2 Univariate Time Series 3.2.1 Stationary and Ergodic Time Series Let {yt } = {. . . yt−1 , yt , yt+1 , . . .} denote a sequence of random variables indexed by some time subscript t. Call such...
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...FYP Project Number: HE_2AY1415_09 NANYANG TECHNOLOGICAL UNIVERSITY SCHOOL OF HUMANITIES AND SOCIAL SCIENCES UNDERREPRESENTATION OF ASIA-FOCUSED ARTICLES IN THE TOP 10 ECONOMICS JOURNALS Roy Athanasius Ang Tjin Shane Teong Xiu Yi Tham Weng Leon U1130138B U1130028B U1130012L A Final Year Project submitted to the School of Humanities and Social Sciences, Nanyang Technological University in partial fulfillment of the requirements for the Degree of Bachelor of Arts in Economics Academic Year: 2014/2015 FYP Project Number: HE_2AY1415_09 ABSTRACT Despite its high growth, positive economic outlook and its GDP accounting for about a quarter of the world’s GDP, there is an underrepresentation of Asia in terms of published articles in the top 10 economics journals. This study highlights this fact and has found tenure to be a likely cause for the lack of Asia-focused articles. This stems from the strong emphasis universities place on the publishing of articles and with the belief that there is a lack of reliable data on Asia, researchers are less inclined to conduct studies on Asia given that top economics journals require accurate and dependable data for publishing. 1 FYP Project Number: HE_2AY1415_09 ACKNOWLEDGEMENTS We, the authors of this paper, would like to express our heartfelt gratitude to Chia Wai Mun, Associate Professor, School of Humanities and Social Sciences, Nanyang Technology University, for her unwavering support and constant...
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...Lease Finance Lease Finance • Lease is contract between the owner of the asset (Lessor) and the user (Lessee) of the asset, wherein the Lessor gives the right to use the asset to the Lessee for a consideration (Lease Rentals) over an agreed period of time (Lease period or tenure). • At the end of the lease period, the leased asset reverts back to the Lessor, unless the lease is renewed for another term. • Leasing separates the ‘Ownership’ and ‘Usage’ of the asset as two separate economic activities. Leasing 2 Leasing, Hire Purchase, Instalment Sale • Leasing: – Lessor retains the Ownership of the asset & claims the benefit of Depreciation. – Lessee claims the Lease Rentals as tax-deductible expense. • Hire Purchase: – Ownership passes to the Hirer (user) on payment of the last Instalment (on payment of Capital & Interest) and takes benefit of Depreciation and tax-deductibility of the Interest component of the Hire charges. • Instalment Sale: – The legal ownership passes as soon as the 1st instalment is paid. The balance amount is treated as a secured loan and Interest portion is Tax-deductible Leasing 3 Basic Types of Lease • On the basis of the extent to which the risks and rewards incidental to the ownership of the leased assets lie with the Lessor or the Lessee, lease can be classified as: Finance Lease Operating Lease Leasing 4 Finance (or Capital) Lease • Non-cancellable for a specified period called the PRIMARY LEASE Period- usually 5-8 years. • Leased Asset...
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...Priscilla Norton* George Mason University Abstract Few online high schools report requiring online education for their teachers, and few programs exist to prepare teachers to teach online (Smith, Clark, & Blomeyer, 2005). Professional development for online teachers continues to be a concern, and evaluative research that examines the effectiveness of various types of professional development is needed (Archambault & Crippen, 2009). The purpose of this exploratory study was to compare differences in online teachers’ selfreported frequency and confidence in performing online teaching tasks between teachers who had completed a comprehensive preparation program and teachers who participated in a one-day face-to-face workshop. Results found no differences between the groups and challenge conventions related to the nature and role of teacher preparation in online teaching. (Keywords: teacher education, online teaching, professional development, online learning, teacher preparation) nline learning at the K–12 level grows substantially each year. The issue is no longer whether or not online learning is or should occur, but rather how it is implemented. Watson, Murin, Vashaw, Gemin, and Rapp (2011) reported that, as of late 2011, online and blended learning opportunities exist for at least some students in all 50 U.S. states plus the District of Columbia and that there are now 30 states with full-time, multidistrict schools that enrolled an estimated total of 250,000 students in school year...
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...HAMPTON UNIVERSITY SCHOOL OF BUSINESS Course Syllabus - FALL 2011 ECON 201-ALL SECTIONS PRINCIPLES OF ECONOMICS (MACRO) SEC | CRN | DAYS | TIME | CLASSROOM | INSTRUCTOR | 201-HR | 21507 | TR | 12:30-1:45PM | ST-321 | Sarki, A | 201-02 | 21509 | MWF | 9:00-9:50AM | BU-122 | Ferdnance, T | 201-03 | 21512 | TR | 11:00-12:15PM | BU-101 | Toney, S | 201-05 | 21513 | TR | 9:30-10:45AM | ST-336 | Sarki, A | 201-07 | 21514 | TR | 2:00-3:15PM | BU-101 | Toney, S | 201-09 | 21516 | MWF | 1:00-1:50PM | BU-122 | Ferdnance, T | PROFESSORS OFFICES OFFICE HOURS PHONE Dr. Ayuba J. Sarki Science & Tech (301C) TBA (757) 727-5868 Dr. Tyrone Ferdnance Buckman (107B) TBA (757) 727-5134 Dr. Susanne Toney Buckman (214C) TBA (757) 727-5760 REQUIRED TEXTS: Case, Karl E., Fair, Ray C., & Oster, Sharon M; Principles of ECONOMICS 10th Edition, Pearson/Prentice-Hall, 2012 ISBN-10: 0132552914; ISBN-13: 9780132552912 0132744856 OR Case, Karl E., Fair, Ray C., & Oster, Sharon M; Principles of Macroeconomics 10th Edition, Pearson/Prentice-Hall, 2012 ISBN-10: 0131391402; ISBN-13: 978-0131391406 AND MyEconLab (Required) (Note that all the required materials can be purchased from Hampton University Virtual Bookstore). CATALOG DESCRIPTION: A first course on modern market economies. Emphasizes the determination of national income, fluctuations, and...
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...Andrew R. Cohen1, Christopher Bjornsson1, Ying Chen1, Gary Banker2, Ena Ladi3, Ellen Robey3, Sally Temple4, and Badrinath Roysam1 1 Rensselaer Polytechnic Institute, Troy, NY 12180, USA, 2 Oregon Health & Science University, 3181 SW Sam Jackson Park Road, L606, Portland, OR 97239, USA 3 University of California, Berkeley, Berkeley, CA 94720, USA 4 Center for Neuropharmacology & Neuroscience, Albany Medical College, Albany, NY 12208, USA ABSTRACT An algorithmic information theoretic method is presented for object-level summarization of meaningful changes in image sequences. Object extraction and tracking data are represented as an attributed tracking graph (ATG), whose connected subgraphs are compared using an adaptive information distance measure, aided by a closed-form multi-dimensional quantization. The summary is the clustering result and feature subset that maximize the gap statistic. The notion of meaningful summarization is captured by using the gap statistic to estimate the randomness deficiency from algorithmic statistics. When applied to movies of cultured neural progenitor cells, it correctly distinguished neurons from progenitors without requiring the use of a fixative stain. When analyzing intra-cellular molecular transport in cultured neurons undergoing axon specification, it automatically confirmed the role of kinesins in axon specification. Finally, it was able to differentiate wild type from genetically modified thymocyte cells. Index Terms: Algorithmic information...
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...THE COOPER UNION FOR THE ADVANCEMENT OF SCIENCE AND ART ALBERT NERKEN SCHOOL OF ENGINEERING Adjustable Subband Allocation Algorithm for Critically Sampled Subband Adaptive Filters by Adam Shabti Charles A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering May 6, 2009 Advisor Dr. Fred L. Fontaine THE COOPER UNION FOR THE ADVANCEMENT OF SCIENCE AND ART ALBERT NERKEN SCHOOL OF ENGINEERING This thesis was prepared under the direction of the Candidate’s Thesis Advisor and has received approval. It was submitted to the Dean of the School of Engineering and the full Faculty, and was approved as partial fulfillment of the requirements for the degree of Master of Engineering. Dr. Eleanor Baum Dean, School of Engineering Dr. Fred L. Fontaine Candidate’s Thesis Advisor Acknowledgments I would like to thank my advisor, Dr. Fred Fontaine, for his guidance and patience throughout this process. Without his teachings I would not be where I am today. I would also like to thank the rest of the faculty, as well as my friends and peers at The Cooper Union Albert Nerken School of Engineering. A special thanks is due to David Nummey, Deian Stefan, Ashwin Kirpalani, Stefan M¨nzel and Matthew Epstein, all u of whom gave their time to listen patiently to my ideas and help me improve this thesis into what it is today. I would also like to thank Dr. Jack Lowenthal for keeping me motivated with his interest...
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...www.elsevier.com/locate/ynimg NeuroImage 25 (2005) 1256 – 1265 Cortical thickness analysis in autism with heat kernel smoothing Moo K. Chung,a,b,c,* Steven M. Robbins,f Kim M. Dalton,c Richard J. Davidson,c,d Andrew L. Alexander,c,e and Alan C. Evansf a Department of Statistics, University of Wisconsin, Madison, 1210 West Dayton Street, WI 53706, USA Biostatistics and Medical Informatics, University of Wisconsin, Madison, 1210 West Dayton Street, WI 53706, USA c W.M. Keck Laboratory for Functional Brain Imaging and Behavior, University of Wisconsin, Madison, WI 53706, USA d Department of Psychology and Psychiatry, University of Wisconsin, Madison, WI 53706, USA e Department of Medical Physics, University of Wisconsin, Madison, WI 53706, USA f Montreal Neurological Institute, McGill University, Canada b Received 5 October 2004; revised 22 November 2004; accepted 3 December 2004 Available online 10 March 2005 We present a novel data smoothing and analysis framework for cortical thickness data defined on the brain cortical manifold. Gaussian kernel smoothing, which weights neighboring observations according to their 3D Euclidean distance, has been widely used in 3D brain images to increase the signal-to-noise ratio. When the observations lie on a convoluted brain surface, however, it is more natural to assign the weights based on the geodesic distance along the surface. We therefore develop a framework for geodesic distance-based kernel smoothing and ...
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...A k-ω Turbulence Model for Quasi-Three-Dimensional Turbomachinery Flows Rodrick V. Chima* NASA Lewis Research Center Cleveland, Ohio 44135 Abstract A two-equation k-ω turbulence model has been developed and applied to a quasi-three-dimensional viscous analysis code for blade-to-blade flows in turbomachinery. The code includes the effects of rotation, radius change, and variable stream sheet thickness. The flow equations are given and the explicit Runge-Kutta solution scheme is described. The k-ω model equations are also given and the upwind implicit approximate-factorization solution scheme is described. Three cases were calculated: transitional flow over a flat plate, a transonic compressor rotor, and a transonic turbine vane with heat transfer. Results were compared to theory, experimental data, and to results using the Baldwin-Lomax turbulence model. The two models compared reasonably well with the data and surprisingly well with each other. Although the k-ω model behaves well numerically and simulates effects of transition, freestream turbulence, and wall roughness, it was not decisively better than the Baldwin-Lomax model for the cases considered here. The Baldwin-Lomax model is popular because it is easy to implement (at least in 2-D) and works fairly well for predicting overall turbomachinery performance. However, the model has both numerical and physical problems. Numerical problems include awkward implementation in 3-D, difficulty in finding the length scale [2]...
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...Abstract Purpose – The purpose of this paper is to compare the efficiency of bancassurance, an indirect marketing channel formed through the creation of subsidiaries, with an insurer’s own team, a direct marketing channel, in the Taiwan insurance sector. Design/methodology/approach – This paper uses the Charnes, Cooper, and Rhodes (CCR) model to measure the decision-making units’ (DMU) operating efficiency. Findings – The three major findings are: the efficiency score of a direct marketing channel is significantly higher than that of a comparable indirect marketing channel. The efficiency relationship between the indirect marketing channel and the direct marketing channel is independent. A marketing efficiency evaluation, when divided into different marketing channels for evaluation, provides meaningful results for marketing decision-makers. Originality/value – By comparing the efficiency between two different insurance marketing channels, managers in life insurance companies can make a more informed choice. Keywords Direct marketing, Marketing, Insurance, Taiwan Paper type Research paper Comparison of direct and indirect channels 343 Introduction Bancassurance, a method of distributing insurance products, has become a global trend that is gradually breaking down traditional barriers in how businesses supply financial products and services (Benoist, 2002). The last 15 years have witnessed many changes in how the financial services industry in Europe, the USA, and Latin America is organized...
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