Statistical Background

D. P. O’Brien and A. C. Darnell
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D. P. O’Brien: University of Durham
A. C. Darnell: University of Durham

Chapter 2 in Authorship Puzzles in the History of Economics, 1982, pp 14-30 from Palgrave Macmillan

Abstract: Abstract There are three broad statistical approaches capable, in principle, of analysing literary problems, namely the Classical parametric, the Bayesian, and the non-parametric. The early developments all used Classical parametric techniques which, while showing promise in dealing with problems arising from Greek prose, have, generally speaking, not performed satisfactorily in applications to English prose, as noted in Chapter 1. Indeed, of all parametric approaches, by far the most successful application was within the realm of Bayesian analysis but, as indicated below, we are a little uneasy about the use of Bayesian statistics within the field. By contrast, techniques derived from non-parametric statistics, are, in our opinion, particularly well suited not only to the very questions of literary puzzles but also to the data generated by literary samples.

Keywords: Statistical Background; Lorenz Curve; Sentence Length; Posterior Odds; Word Usage (search for similar items in EconPapers)
Date: 1982
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DOI: 10.1007/978-1-349-05697-2_2

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