8,820 research outputs found

    Bruce Cochran Oral History Interview

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    Bruce Cochran, Associate Dean and Professor of Biology, discusses his arrival at USF in 1981, as well as the past and future of the Biology program. Dr. Cochran also discusses his involvement in Independent Studies and the Learning Community Program

    Cochran, P J, NX49226

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    This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete.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/377795Surname: COCHRAN Given Name(s) or Initials: P J Military Service Number or Last Known Location: NX49226 Missing, Wounded and Prisoner of War Enquiry Card Index Number: 34986191536 Item: [2016.0049.10092] "Cochran, P J, NX49226

    Cochran, V J, NX6415

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    This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete.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/377798Surname: COCHRAN Given Name(s) or Initials: V J Military Service Number or Last Known Location: NX6415 Missing, Wounded and Prisoner of War Enquiry Card Index Number: 2762191540 Item: [2016.0049.10094] "Cochran, V J, NX6415

    Letter to J. J. Hayden II regarding speaker expenses, July 8, 1990

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    A letter from J. Wesley Cochran to J. J. Hayden II enclosing a check to reimburse Hayden for expenses

    Mrs. J. F. Cochran

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    Mrs. J. F. Cochran, 5110 Norma Street, was elected as the new president of Sagamore Hill Woman\u27s Club. Published in Fort Worth Star-Telegram morning edition March 22, 1952.https://mavmatrix.uta.edu/specialcollections_startelegram1950s/18345/thumbnail.jp

    Empirical likelihood inference for the Rao-Hartley-Cochran sampling design

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    The Hartley-Rao-Cochran sampling design is an unequal probability sampling design which can be used to select samples from finite populations. We propose to adjust the empirical likelihood approach for the Hartley-Rao-Cochran sampling design. The approach proposed intrinsically incorporates sampling weights, auxiliary information and allows for large sampling fractions. It can be used to construct confidence intervals. In a simulation study, we show that the coverage may be better for the empirical likelihood confidence interval than for standard confidence intervals based on variance estimates. The approach proposed is simple to implement and less computer intensive than bootstrap. The confidence interval proposed does not rely on re-sampling, linearization, variance estimation, design-effects or joint inclusion probabilities

    Cochran, J.

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    Cochran, J.

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