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Joe DiNapoli – The Practical Application of Fibonacci Analysis to Investment Markets
Eric Zivot – Modeling Financial Time Series with S-Plus
Brian Kettell – Valuation of Internet & Technology Stocks
Robert A.Haugen – The Inefficient Stock Market
Dr. Mircea Dologa – Integrated Pithfork Analysis (Volume 2 & 3)
Raymond Merriman – The Ultimate Book on Stock Market Timing (VOL II) – Geocosmic Correlations to Investment Cycles
Russel Rhoads – Candlestick Charting for Dummies
Philippe Jorion – Financial Risk Manager Handbook (2nd Ed.)
Carol Alexander – Market Risk Analysis Vol. III. Pricing, Hedging & Trading Financial Instruments
M.Hazewinkel – HandBook of Algebra (Vol I & II)
Y.C.Jao – The Asian Financial Crisis & the Ordeal of Hong Kong
Ruth Miller & Iam Williams – The Solar Guidance System
J.Dupacova – Stochastic Modeling in Economics and Finance
Description
Andrew V.Metcalfe – Statistics In Engineering
Statistics in Engineering provides a succinct introduction to statistics. The ideas are introduced with examples set in their practical context. The underlying mathematics are given in an informal way and are included for those who find that mathematical justification helps their understanding of concepts, and for anyone who needs to take the subject further The author indicates sections that can be omitted without any loss of continuity. The book is kept as simple as possible, and assumes only some familiarity with elementary calculus and matrices.
The first seven chapters of the book cover a typical 40-hour statistics module taken by engineering or science students who are beginning the subject. This includes the basic ideas, relationships between variables, and the design and analysis of experiments. The final chapter looks at some important engineering situations that are not fully covered by the methods of the preceding chapters.
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