177,646 research outputs found
The Family History Of Daniel C. Hodges
No full textThe Family History of Daniel C. Hodges 21 April 2018
Daniel Clayton Hodges authored this family history as part of the course requirements for HIST 550/700 Your Family in History offered online in Spring 2018 and was submitted to the Pittsburg State University Digital Commons. Please contact the author directly with any questions or comments: [email protected]
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
Rev. N.W. Hodges to James C. Furman
No full textA three page letter and envelope from Rev. N.W. Hodges to James C. Furma
Rev. N.W. Hodges to James C. Furman
No full textA three page letter and envelope from Rev. N.W. Hodges to James C. Furma
Rev. N.W. Hodges to James C. Furman
No full textA two page letter and envelope from Rev. N.W. Hodges to James C. Furma
[Letter from James C. Hodges to T. N. Carswell - December 15, 1960]
No full textA letter written to Mr. T. N. Carswell, Abilene, Texas, from James C. Hodges, Chief, Administration Division, U. S. Treasury Department, Internal Revenue Service, District Director, Dallas, Texas, dated December 15, 1960. Hodges confirms the enrollment of Carswell in the tax clinic noting Mr. J. T. Logan and Mr. Herschel Boggs will be looking forward to seeing him there
SvePy src v1.0
No full textSvePy Saint Venant Solver Python version 1.0
author: Ben R. Hodges
National Center for Infrastructure Modeling and Management
University of Texas at Austin
Copyright (c) 2019 Ben R. Hodges
Distributable as Public Domain Software
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Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following two conditions:
(1) THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
(2) The name(s) of the above copyright
holders shall not be used in advertising or otherwise to promote the sale,
use or other dealings in this Software without prior written authorization.
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File organization:
/src source code for SvePy
/input input files needed for test cases
/restart restart files used for Waller Creek test cases
/documentation code documentation (limited)
/outbin_### output binary files from test cases
/outtxt_### output text files from test cases
/FigureProcessingMatlab scripts used to produce figures in Hodges and Liu (2019)
Note: documentation of the code is limited to the comments within the code,
the technical report in the /documentation folder, and the following papers:
Hodges, B. R. (2019).
Conservative finite-volume forms of the Saint-Venant equations for hydrology and urban drainage.
Hydrology and Earth System Sciences,
23, 1281-1304.
doi: 10.5194/hess-23-1281-2019
Hodges, B. R., and F. Liu, (2019).
Timescale interpolation and no-neighbor discretization for a 1D finite-volume Saint-Venant solver.
Journal of Hydraulic Research
(submitted July 2019)
The top-level scripts for running the code are labeled Run_### <br
Hodges, Lula C.
No full textP. C. Hodges - husbandhttps://stars.library.ucf.edu/cfm-ch-memoranda-1932/1241/thumbnail.jp
Hodges, R E C, QX10822
No full textThis 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/392673Surname: HODGES. Given Name(s) or Initials: R E C. Military Service Number or Last Known Location: QX10822. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 34393.210466
Item: [2016.0049.24966] "Hodges, R E C, QX10822
Hodges-Lehmann Optimality for Testing Moment
No full textThis paper studies the Hodges and Lehmann (1956) optimality of tests in a general setup. The tests are compared by the exponential rates of growth to one of the power functions evaluated at a fixed alternative while keeping the asymptotic sizes bounded by some constant. We present two sets of sufficient conditions for a test to be Hodges-Lehmann optimal. These new conditions extend the scope of the Hodges-Lehmann optimality analysis to setups that cannot be covered by other conditions in the literature. The general result is illustrated by our applications of interest: testing for moment conditions and overidentifying restrictions. In particular, we show that (i) the empirical likelihood test does not necessarily satisfy existing conditions for optimality but does satisfy our new conditions; and (ii) the generalized method of moments (GMM) test and the generalized empirical likelihood (GEL) tests are Hodges-Lehmann optimal under mild primitive conditions. These results support the belief that the Hodges-Lehmann optimality is a weak asymptotic requirement.Asymptotic optimality, Large deviations, Moment condition, Generalized method of moments, Generalized empirical likelihood
Parameters behind "nonparametric" statistics: Kendall's tau,Somers' D and median differences
No full textSo-called "nonparametric" statistical methods are often in fact based on population parameters, which can be estimated (with confidence limits) using the corresponding sample statistics. This article reviews the uses of three such parameters, namely Kendall's tau, Somers' D and the Hodges-Lehmann median difference. Confidence intervals for these are demonstrated using the somersd package. It is argued that confidence limits for these parameters, and their differences,are more informative than the traditional practice of reporting only p-values. These three parameters are also important in defining other tests and parameters, such as the Wilcoxon test, the area under the receiver operating characteristic (ROC) curve, Harrell's C, and the Theil median slope. Copyright 2002 by Stata Corporation.confidence intervals, Gehan test, Harrell's C , Hodges-Lehmann median difference, Kendall's tau, nonparametric methods, rank correlation, rank-sum test, ROC area, Somers' D, Theil median slope, Wilcoxon test
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