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    Mcnally, P W Patrick William, VX46458

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    This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete.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/404247Surname: MCNALLY. Given Name(s) or Initials: P W PATRICK WILLIAM. Military Service Number or Last Known Location: VX46458. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 43052.240783 Item: [2016.0049.36539] "Mcnally, P W Patrick William, VX46458

    Chas. White, author of Story of Australian bushranging ; Dr. Pechey, present at Keightly episode ... [picture] /

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    Includes portrait of Captain Starlight from: Robbery under arms / by Rolf Boldrewood.; Exhibited: "Bushrangers and Bandits", National Museum of Australia, June 2002 - June 2003.; Exhibited: "In the Line of Duty: Policing in Australia 1788 - 2006", Old Parliament House, August 2006 - February 2007. AuCNL. Portraits and inscriptions (top L to R): Chas. White author of Story of Australian bushranging; Dr. Pechey present at Keightly episode; Hipkiss gave Ben Hall first death wound at Billabong 5th May -65; Ver. Rev. Dr. Gibney heroic rescue at Glenrowen [Glenrowan]; Superintnt Hare author of Last of the bushrangers; Ben Hall; Lowry; Starlight; T. Clarke; Rutherford; Martin Cash Tasmanian outlaw after sentence lived a respected farmer; Const. Bracken escaped from Kellys Glenrowen [Glenrowan]; Insr Stephenson daring capture & shooting of Lowry; McKinley [McKinlay?], Burns & Day daring shooting & capture of Angel & Thurston; J. Hawthorne now a squatter Wee Waa daring capture of Dunne

    WW1 Service Questionnaires - Patrick, William

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    1919Entered service 1918 and still serving at the time of 1919 questionnaire. He worked with sanitation teams and to keep pests down

    A design of an automatic buoyancy compensator for a human powered submarine

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    Thesis (B.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1989.Includes bibliographical references (leaf 28).by Patrick William Nee.B.S

    A modular framework for reusable research software

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    Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.Includes bibliographical references (leaves 63-64).by Patrick William Anderson.M.Eng

    Patrick William, Nous, on n'en parle pas : les vivants et les morts chez les Manouches

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    Naegels Michel. Patrick William, Nous, on n'en parle pas : les vivants et les morts chez les Manouches. In: Genèses, 16, 1994. Territoires urbains contestés, sous la direction de Michel Offerlé. p. 166

    Patrick William, Nous, on n'en parle pas : les vivants et les morts chez les Manouches

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    Naegels Michel. Patrick William, Nous, on n'en parle pas : les vivants et les morts chez les Manouches. In: Genèses, 16, 1994. Territoires urbains contestés, sous la direction de Michel Offerlé. p. 166

    Improved asymptotics for econometric estimators and tests

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    Chapter two derives saddlepoint approximations for the density and distribution of a ratio of non-central quadratic forms in normal variables. Excepting a few special cases, little is known of the exact, finite sample properties of these statistics. Hence we derive and prove the existence of an exact inversion based upon the joint characteristic function. Thence the saddlepoint algorithm is applied and the leading term approximation is found. An illustration accuracy of the approximation.Chapter three derives higher-order, leating term approximations for the density of the MLE in three classes of models. It is found, by exploiting the properties of the likelihood directly, that approximations so constructed often coincide with the saddlepoint approximation. Importantly though we circumvent the necessity of calculating the characteristic function and of solving some saddlepoint defining equation. For each class of models: linear exponential, curved exponential and a class of non-exponential models, the central results are given along with a simple illustrative example.Chapter four investigates the application of Edgeworth series as symptotic expansions for the densities of minimal sufficient statistics. Since much inference is constructed through functions of this statistic validity for both the statistic itself and arbitrary functions of it is proved. Further, numerical accuracy of such approximations is shown to be influenced by transformation. Hence, conditions for an optimal transformation are derived, that is one which minimises some criterion of numerical error, given an asymptotic order of error.Chapter five applies this 'optimal' transformation in the context of first-order regression. We find that asymptotic inference in this model can be significantly improved, i.e. made more accurate, if inference is made via this transformed statistic.</p
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