Integrating interesting and widely used concepts of financial engineering into traditional statistics courses, <b>Introduction to Probability and Statistics for Science, Engineering, and Finance</b> illustrates the role and scope of statistics and probability in various fields. <p>The text first introduces the basics needed to understand and create tables and graphs produced by standard statistical software packages, such as Minitab, SAS, and JMP. It then takes students through the traditional topics of a first course in statistics. Novel features include: <li>Applications of standard statistical concepts and methods to the analysis and interpretation of financial data, such as risks and returns</li></li><li>Cox¿Ross¿Rubinstein (CRR) model, also called the binomial lattice model, of stock price fluctuations</li></li><li>An application of the central limit theorem to the CRR model that yields the lognormal distribution for stock prices and the famous Black¿Scholes option pricing formula
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<p><i>Introduction to Probability and Statistics for Engineers and Scientists, Sixth Edition, </i>uniquely emphasizes how probability informs statistical problems, thus helping readers develop an intuitive understanding of the statistical...
kr 1289.00
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Suitable for self study <P>Use real examples and real data sets that will be familiar to the audience <P></P><P>Introduction to the bootstrap is included ¿ this is a modern method missing in many other books <P></P>
kr 439.00
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The two parts of this book treat probability and statistics as mathematical disciplines and with the same degree of rigour as is adopted for other branches of applied mathematics at the level of a British honours degree. They contain the minimum information...
kr 439.00
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