165,261 research outputs found

    Cornish, J C, R158778

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    This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/378904Surname: CORNISH Given Name(s) or Initials: J C Military Service Number or Last Known Location: R158778 Missing, Wounded and Prisoner of War Enquiry Card Index Number: 58839192716 Item: [2016.0049.11197] "Cornish, J C, R158778

    Cornish, R J, 217448

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    This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/378899Surname: CORNISH Given Name(s) or Initials: R J Military Service Number or Last Known Location: 217448 Missing, Wounded and Prisoner of War Enquiry Card Index Number: SEA-4070192711 Item: [2016.0049.11192] "Cornish, R J, 217448

    Cornish, J R, VX37206

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    This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/378908Surname: CORNISH Given Name(s) or Initials: J R Military Service Number or Last Known Location: VX37206 Missing, Wounded and Prisoner of War Enquiry Card Index Number: 38982192720 Item: [2016.0049.11201] "Cornish, J R, VX37206

    Rearranging Edgeworth-Cornish-Fisher expansions

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    This paper applies a regularization procedure called increasing rearrangement to monotonize Edgeworth and Cornish-Fisher expansions and any other related approximations of distribution and quantile functions of sample statistics. Besides satisfying the logical monotonicity, required of distribution and quantile functions, the procedure often delivers strikingly better approximations to the distribution and quantile functions of the sample mean than the original Edgeworth-Cornish-Fisher expansions.

    Collective Invention during the British Industrial Revolution The Case of the Cornish Pumping Engine

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    In this paper, we argue that together with individual inventors and firms, what Robert C. Allen (1983) has termed as collective invention settings (that is settings in which rival firms freely release each other pertinent technical information), were also a crucial source of innovation in the industrial revolution period. Until now, this has been very little considered in the literature. This paper focuses on one of these cases: the Cornish mining district. In Cornwall, during the early nineteenth century, a notable collective invention setting, gradually emerged. This case is particularly remarkable because it was capable of generating a continuous and sustained flow of improvements in steam pumping technology which in the end greatly contributed to improve the thermodynamic efficiency of the steam engine. In this paper we study in detail the specific economic circumstances that led to the formation of this collective invention setting and we analyses its consequences for the rate of technological innovationCollective inventions, information sharing, case study

    Cornish miners

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    cornish[Mr. Michael Carroll]was in England in 1868 in relation to a copper mine. He brought out with him two experienced Cornish miners.PRINTED ITEM W. J. KIRWIN APR 1970 JH 4/70Not usedNot usedWithdrawnChecked by Jordyn Hughes on Wed 06 Jul 201

    Cornish miners in Tilt Cove

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    cornish...among whom might be seen scores of stout Cornish miners, with their wives and children.PRINTED ITEM W. J. KIRWIN SEP 1970 JH SEP 1970Not usedNot usedWithdrawnChecked by Jordyn Hughes on Wed 06 Jul 201

    Probabilistic load flow in systems with high wind power penetration

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    This paper proposes a method for solving a probabilistic load flows that takes into account the uncertainties of wind generation, but also of load and conventional systems. The method uses a combination of methods including cumulant, point estimate and convolution. Cornish Fisher expansion series are also used to find the CDF. The method is of especial application to estimate active power flows through lines
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