Adjustments before statistical analysis of time series data: Before we start statistical analysis of time series data, we should see whether or not they represent a series of comparable figures over time. A series of figures may not be comparable or homogeneous for a number of reasons. For example, Changes in population and geographical areas: The figures may relate to geographical areas which change over time. The series may relate to population which is always changing over time. The data
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Assemblage of factors affecting Success of Fast Moving Consumer Goods Parmindar Singh1 1 Research Scholar, Department of Commerce, Chaudhary Devi Lal University, Sirsa. Abstract This paper has mainly focused to the study about the factors which affects on the success of Fast Moving Consumer Goods. Factor analysis is employed on data of 24 items that have main effect on the individual consumer. The major objective of this study is to determine the factors which affects the success of FMCG
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Psychiatric Assessment was completed at three waves during childhood/adolescence followed by the Structured Clinical Interview for DSM-IIIR at the YAFU. Two separate, bivariate Cholesky models were fit to childhood diagnoses of SAD and overanxious disorder (OAD), respectively, and their relation with AOPA; a trivariate Cholesky model also examined the collective influence of childhood SAD and OAD on AOPA. Results: In the best-fitting bivariate model, the covariation between SAD and AOPA was accounted
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First year ENGINEER – ENG1 Modules | credits | Hours | Functional Analysis | 3,5 | 48 | Algebra for Engineers | 2,5 | 32 | Probability 1 | 3,5 | 48 | Statistical Decision (courses +Tuto) | 3,5 | 48 | Microprocessor System | 3 | 40 | Signal Transmission | 2,5 | 32 | Data Transmission | 2,5 | 32 | Workshop on Linux | 3 | 40 | Databases | 3 | 40 | TOEIC 1 | 2,5 | 32 | Advanced Maintenance | 2,5 | 32 | Numerical Analysis | 2,5 | 32 | Operations Research | 2,5 | 32 |
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2011 FRM EXAM TRAINING SYLLABUS PART I Introduction to Financial Mathematics 1. Introduction to Financial Calculus a. Variables – Discrete and Continuous b. Univariate and Multivariate Functions – Dependent variable and Independent variable c. Physical representation of a function d. Linear and Non-Linear functions e. Limits of a function f. The number e and Natural Logarithm g. Differential Calculus – Differentiation, Interpretation - Slope of a tangent, using derivatives to calculate function
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GNU Scientific Library Reference Manual Edition 1.14, for GSL Version 1.14 4 March 2010 Mark Galassi Los Alamos National Laboratory Jim Davies Department of Computer Science, Georgia Institute of Technology James Theiler Astrophysics and Radiation Measurements Group, Los Alamos National Laboratory Brian Gough Network Theory Limited Gerard Jungman Theoretical Astrophysics Group, Los Alamos National Laboratory Patrick Alken Department of Physics, University of Colorado at Boulder
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J.KAU: Islamic Econ., Vol. 19, No. 2, pp: 3-20 (2006 A.D./1427 A.H.) Monetary Dynamics and Gold Dinar: An Empirical Perspective MANSOR H. IBRAHIM* Professor of Economics International Islamic University Malaysia, Malaysia E-mail: mansorhi@iiu.edu.my. ABSTRACT. According to proponents of Gold Dinar particularly Meera and Aziz (2002), termed as Dinarists’, the fiat monetary system is inherently unstable. In providing an empirical perspective on this contention, this paper investigates monetary
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Sample page from NUMERICAL RECIPES IN C: THE ART OF SCIENTIFIC COMPUTING (ISBN 0-521-43108-5) Copyright (C) 1988-1992 by Cambridge University Press. Programs Copyright (C) 1988-1992 by Numerical Recipes Software. Permission is granted for internet users to make one paper copy for their own personal use. Further reproduction, or any copying of machinereadable files (including this one) to any server computer, is strictly prohibited. To order Numerical Recipes books or CDROMs, visit website http://www
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NBER WORKING PAPER SERIES FINANCIAL RISK MEASUREMENT FOR FINANCIAL RISK MANAGEMENT Torben G. Andersen Tim Bollerslev Peter F. Christoffersen Francis X. Diebold Working Paper 18084 http://www.nber.org/papers/w18084 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge, MA 02138 May 2012 Forthcoming in Handbook of the Economics of Finance, Volume 2, North Holland, an imprint of Elsevier. For helpful comments we thank Hal Cole and Dongho Song. For research support, Andersen
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The Relationship between Interest Rate and Exchange Rate in India Pradyumna Dash[1] Introduction The theoretical as well as empirical relationship between the interest rate and exchange rate has been a debatable issue among the economists. According to Mundell-Fleming model, an increase in interest rate is necessary to stabilize the exchange rate depreciation and to curb the inflationary pressure and thereby helps to avoid many adverse economic consequences. The high interest rate
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