Preface Let me begin this preface with a confession of a few of my own biases. First, I believe that theory and the models that flow from it should provide the tools to understand, analyze, and solve problems. The test of a model or theory then should not be based on its elegance but on its usefulness in problem solving. Second, there is little in corporate financial theory that is new and revolutionary. The core principles of corporate finance are common sense and have changed little over
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updated, including two new chapters on ● ● ● ● ● ● panel data and limited dependent variable models Problem-solving approach assumes no prior knowledge of econometrics emphasising intuition rather than formulae, giving students the skills and confidence to estimate and interpret models Detailed examples and case studies from finance show students how techniques are applied in real research Sample instructions and output from the popular computer package EViews enable students to implement models
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Deep Learning more at http://ml.memect.com Contents 1 Artificial neural network 1 1.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 History . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2.1 Improvements since 2006 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Models . . . . . . . . . . . . . . . . . . . . . . . .
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Amazon Web Services ™ Amazon Web Services ™ by Bernard Golden Amazon Web Services™ For Dummies® Published by: John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030-5774, www.wiley.com Copyright © 2013 by John Wiley & Sons, Inc., Hoboken, New Jersey Published simultaneously in Canada No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise
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Ecole des Hautes Etudes en Sciences Sociales Ann´e 2007 e Num´ro attribu´ par la biblioth`que e e e ———————————— Essais en Finance d’Entreprise THESE POUR LE DOCTORAT EN SCIENCES ECONOMIQUES DE L’ECOLE DES HAUTES ETUDES EN SCIENCES SOCIALES Pr´sent´e et soutenue publiquement par e e David SRAER le 29 Juin 2007 Directeur de th`se e M. Jean Tirole Directeur d’Etudes ` l’E.H.E.S.S. a JURY M. Denis Gromb, Mme. Ulrike Malmendier , M. Brunos Biais, M. Jacques Cr´mer, e Professeur
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THE IMPACT OF UNEMPLOYMENT ON ECONOMIC GROWTH IN NIGERIA (1970-2010) BY DUROSINMI TEMIDAYO.O EC/2008/622 DEPARTMENT OF ECONOMICS FACULTY OF MANAGEMENT AND SOCIAL SCIENCE CARITAS UNIVERSITY, AMORJI-NIKE ENUGU STATE AUGUST, 2012. i TITLEPAGE THE IMPACT OF UNEMPLOYMENT ON ECONOMIC GROWTH IN NIGERIA A PROJECT SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENT FOR THE AWARD OF BACHELOR IN SCIENCE (B.SC) DEGREE IN ECONOMICS BY DUROSINMI TEMIDAYO.O EC/2008/622 DEPARTMENT OF ECONOMICS FACULTY OF MANAGEMENT
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including two new chapters on ● ● ● ● ● ● panel data and limited dependent variable models Problem-solving approach assumes no prior knowledge of econometrics emphasising intuition rather than formulae, giving students the skills and confidence to estimate and interpret models Detailed examples and case studies from finance show students how techniques are applied in real research Sample instructions and output from the popular computer package EViews enable students to implement models
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Corporate Investment Decision Practices And the Hurdle Rate Premium Puzzle Iwan Meier and Vefa Tarhan1 February 27, 2006 Abstract We survey a cross-section of 127 companies to shed light on various dimensions of the investment decisions. The questions posed by our survey examine the hurdle rates firms use, calculations of project related cashflows, the interaction of cashflows and hurdle rates, and the determinants of firms’ capital structure policies. Unlike previous studies which examine
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Module number: U51001 Module title: Key Business Competences Contents Module introduction 1 Semester plan synopsis 2 Module syllabus 3 Week 1 – Module Introduction 7 Week 2: Operations with numbers 8 Week 3: Understanding Data 16 Week 4 – Charts and Graphing in Excel 31 Week 5 – Summarising data 45 Week 6 Reading Week 57 Week 7 & 8 – Principles of elementary modelling 58 Week 9 & 10 – Financial Modelling (1) 69 Week 11 & 12 – Financial Modelling
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www.elsevier.com/locate/atoures Annals of Tourism Research, Vol. 32, No. 1, pp. 93–111, 2005 Ó 2005 Elsevier Ltd. All rights reserved. Printed in Great Britain 0160-7383/$30.00 doi:10.1016/j.annals.2004.05.001 MARKET SEGMENTATION A Neural Network Application Jonathan Z. Bloom University of Stellenbosch, South Africa Abstract: The objective of the research is to consider a self-organizing neural network for segmenting the international tourist market to Cape Town, South Africa. A backpropagation
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