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The mathematical results are revealed in the primary window, and you may perform operations related to sum of the numbers, mode, median, mean, variance, skew, average and standard deviation, coefficient of variation, as well as others. If you have sufficient statistical background to know how to calculate the expected counts, and can do Excel calculations using relative and absolute cell addresses, you should be able to navigate through this. Although it contains a wide range of results, the book has an introductory character and necessarily does not cover the whole spectrum of simulation and inference for general stochastic differential equations.

Pages: 115

Publisher: Cengage Learning; 014 edition (August 6, 2015)


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