Risk and Financial Management Risk and Financial Management: Mathematical and Computational Methods. C 2004 John Wiley & Sons‚ Ltd ISBN: 0-470-84908-8 C. Tapiero Risk and Financial Management Mathematical and Computational Methods CHARLES TAPIERO ESSEC Business School‚ Paris‚ France Copyright C 2004 John Wiley & Sons Ltd‚ The Atrium‚ Southern Gate‚ Chichester‚ West Sussex PO19 8SQ‚ England Telephone (+44) 1243 779777 Email (for orders and customer service enquiries):
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Grammar for Teachers Andrea DeCapua Grammar for Teachers A Guide to American English for Native and Non-Native Speakers Author Andrea DeCapua‚ Ed.D. College of New Rochelle New Rochelle‚ NY 10805 adecapua@cnr.edu ISBN: 978-0-387-76331-6 e-ISBN: 978-0-387-76332-3 Library of Congress Control Number: 2007937636 c 2008 Springer Science+Business Media‚ LLC All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the
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third third edition edition Health Psychology: A Textbook third edition Praise for the previous edition: "The volume of work undertaken by Ogden for the first edition of her textbook was impressive‚ and the second edition is even better...As a text aimed at undergraduate psychology students‚ it is hard to fault." Times Higher Education Supplement (The Textbook Guide) Health Psychology: A Textbook has made a major contribution to the teaching and study of this rapidly expanding
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Encyclopedia of American Popular Fiction GEoFF HAmilton and BriAn JonEs ENCYCLOPEDIA OF AmErICAN POPuLAr FICtION Copyright © 2009 by Geoff Hamilton and Brian Jones All rights reserved. No part of this book may be reproduced or utilized in any form or by any means‚ electronic or mechanical‚ including photocopying‚ recording‚ or by any information storage or retrieval systems‚ without permission in writing from the publisher. For information contact: Facts On File‚ Inc. An imprint of Infobase
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Continuous Distributions Distribution Uniform Normal Exponential Gamma Chi-square Beta Probability Function f (y) = f (y) = 1 ; θ ≤ y ≤ θ2 θ2 − θ1 1 1 1 (y − µ)2 √ exp − 2 2σ σ 2π −∞ < y < +∞ f (y) = 1 y α−1 e−y/β ; (α)β α 0<y<∞ f (y) = f (y) = f (y) = 1 −y/β e ; β>0 β 0<y<∞ (y)(v/2)−1 e−y/2 2v/2 (v/2) y2 > 0 ; (α + β) y α−1 (1 − y)β−1 ; (α) (β) 0<y<1 MomentGenerating Function Mean Variance θ1 + θ2 2 (θ2 − θ1 )2 12 µ σ2 β β2 (1 − βt)−1 αβ αβ 2 (1 − βt)−α v 2v
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