Abstract
Long before computers revolutionized numerical analysis, applied mathematicians devised many clever techniques for finding approximate answers to hard problems. Because approximate solutions focus on dominant contributions, they often provide more insight than exact solutions. In this chapter we take up the subject of asymptotic analysis. Although this material is old, dating back centuries in some cases, it still has its charms and utility. Our choice of topics differs from the typical syllabus of mathematical statistics, where the emphasis is on large sample theory and convergence in distribution [61, 132, 181]. Here we stress advanced calculus and combinatorics.
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Lange, K. (2010). Asymptotic Methods. In: Applied Probability. Springer Texts in Statistics, vol 0. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7165-4_12
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DOI: https://doi.org/10.1007/978-1-4419-7165-4_12
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-7164-7
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