Abstract
This chapter deals with three common problems in experimental science. The first is fitting a discrete set of experimental data with a mathematical function. The function usually has some parameters that must be adjusted to give a “best” fit. The second is to detect a periodic change in some variable—a signal—which may be masked by random changes—noise—superimposed on the signal. The third is to determine whether sets of apparently unsystematic data are from a random process or a process governed by deterministic chaotic behavior.
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Hobbie, R.K., Roth, B.J. (2007). The Method of Least Squares and Signal Analysis. In: Intermediate Physics for Medicine and Biology. Springer, New York, NY. https://doi.org/10.1007/978-0-387-49885-0_11
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