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2 results

  • Chapter 4 - The Dead Hand: Realism and Biomaterial in the Nineteenth-Century Novel

  • from Part III - The Manufactured Body: From Wollstonecraft to Stoker
  • Peter Boxall, University of Sussex
  • Book:
    The Prosthetic Imagination
    Published online:
    18 September 2020
    Print publication:
    03 September 2020, pp 149-200

  • Summary

    This chapter focuses on the picture of the dead hand, as it recurs across the nineteenth-century novel, from Wollstonecraft to Austen to Dickens, Zola, Eliot and Melville. It suggests that the obsession with the dead hand arises from the capacity of the novel to engage with biomaterial, and to make of such material the living stuff of being. The novel enters into a conjunction with the prosthetic – with the dead hand – to give animation to our being, as it is reshaped by the forces of industrialisation. But the chapter also argues that the novel encounters a resistance, a refusal of prosthetic material to give way to the demands of mind – a refusal which is central to the operation of the prosthetic imagination.

  • Expansions for the distribution of M-estimates with applications to the Multi-Tone problem

  • Christopher S. Withers, Saralees Nadarajah
  • Journal:
    ESAIM: Probability and Statistics / Volume 15 / 2011
    Published online by Cambridge University Press:
    05 January 2012, pp. 139-167
    Print publication:
    2011

  • We give a stochastic expansion for estimates $\widehat{\theta}$that minimise the arithmetic mean of (typically independent) random functions of a known parameter θ.Examples include least squares estimates, maximum likelihood estimates and more generally M-estimates.This is used to obtain leading cumulant coefficients of $\widehat{\theta}$needed for the Edgeworth expansions for the distribution and density n1/2 (of \widehat{\theta}$ − θ0) to magnitude n−3/2 (or to n−2 for the symmetric case),where θ0 is the true parameter value and n is typically the sample size.Applications are given to least squares estimates for both real and complex models.An alternative approach is given when the linear parameters of the model are nuisance parameters.The methods are illustrated with the problem of estimating the frequencieswhen the signal consists of the sum of sinusoids of unknown amplitudes.