Package 'Hmisc'

Total Page:16

File Type:pdf, Size:1020Kb

Package 'Hmisc' Package ‘Hmisc’ February 28, 2021 Version 4.5-0 Date 2021-02-27 Title Harrell Miscellaneous Author Frank E Harrell Jr <[email protected]>, with contributions from Charles Dupont and many others. Maintainer Frank E Harrell Jr <[email protected]> Depends lattice, survival (>= 3.1-6), Formula, ggplot2 (>= 2.2) Imports methods, latticeExtra, cluster, rpart, nnet, foreign, gtable, grid, gridExtra, data.table, htmlTable (>= 1.11.0), viridis, htmltools, base64enc Suggests acepack, chron, rms, mice, tables, knitr, plotly (>= 4.5.6), rlang, plyr, VGAM Description Contains many functions useful for data analysis, high-level graphics, utility operations, functions for computing sample size and power, simulation, importing and annotating datasets, imputing missing values, advanced table making, variable clustering, character string manipulation, conversion of R objects to LaTeX and html code, and recoding variables. License GPL (>= 2) LazyLoad Yes URL https://hbiostat.org/R/Hmisc/, https://github.com/harrelfe/Hmisc/ Encoding UTF-8 RoxygenNote 7.1.1 NeedsCompilation yes Repository CRAN Date/Publication 2021-02-28 06:00:07 UTC 1 2 R topics documented: R topics documented: abs.error.pred . .5 addMarginal . .7 all.is.numeric . .8 approxExtrap . .9 areg ............................................. 10 aregImpute . 14 binconf . 23 biVar............................................. 25 bootkm . 28 bpower . 29 bpplot . 32 bystats . 33 capitalize . 35 ciapower . 36 cnvrt.coords . 37 colorFacet . 40 combplotp . 41 consolidate . 43 contents . 44 cpower . 46 Cs.............................................. 49 csv.get . 50 curveRep . 52 cut2 ............................................. 57 data.frame.create.modify.check . 58 dataRep . 68 deff ............................................. 70 describe . 71 discrete . 77 dotchart2 . 79 dotchart3 . 81 dotchartpl . 86 Ecdf............................................. 89 equalBins . 93 errbar . 95 escapeRegex . 96 estSeqMarkovOrd . 97 estSeqSim . 101 event.chart . 102 event.convert . 113 event.history . 114 find.matches . 119 first.word . 124 format.df . 125 format.pval . 127 gbayes . 128 R topics documented: 3 gbayesSeqSim . 136 getHdata . 138 getRs . 139 getZip . 140 ggfreqScatter . 141 GiniMd . 144 hdquantile . 145 hidingTOC . 146 hist.data.frame . 147 histbackback . 149 histboxp . 150 HmiscOverview . 152 hoeffd . 158 html............................................. 160 impute . 163 intMarkovOrd . 164 knitrSet . 166 labcurve . 168 label . 178 Lag ............................................. 183 latex............................................. 184 latexCheckOptions . 194 latexDotchart . 194 latexTabular . 196 latexTherm . 198 legendfunctions . 199 list.tree . 200 makeNstr . 201 mApply . 202 mChoice . 203 mdb.get . 206 Merge............................................ 208 mgp.axis . 209 mhgr............................................. 210 minor.tick . 213 Misc............................................. 214 mtitle . 220 multLines . 221 na.delete . 222 na.detail.response . 223 na.keep . 225 nobsY . 226 nstr ............................................. 227 num.intercepts . 228 pairUpDiff . 228 panel.bpplot . ..
Recommended publications
  • Study of Quantile-Based Cumulative R´Enyi Information Measure
    STATISTICS, OPTIMIZATION AND INFORMATION COMPUTING Stat., Optim. Inf. Comput., Vol. x, December 2020, pp 0–23. Published online in International Academic Press (www.IAPress.org) Study of Quantile-Based Cumulative Re´nyi Information Measure Rekha Rani , Vikas Kumar ∗ Department of Applied Sciences, UIET, M. D. University, Rohtak Abstract In this paper, we proposed a quantile version of cumulative Re´nyi entropy for residual and past lifetimes and study their properties. We also study quantile-based cumulative Re´nyi entropy for extreme order statistic when random variable untruncated or truncated in nature. Some characterization results are studied using the relationship between proposed information measure and reliability measure. We also examine it in relation to some applied problems such as weighted and equilibrium models. Keywords Re´nyi entropy, Cumulative residual entropy, Quantile function, Order statistic, Reliability measures, Weighted entropy. AMS 2010 subject classifications 62N05, 90B25 DOI: 10.19139/soic-2310-5070-1034 1. Introduction Let X be a random variable with distribution function F (x) and quantile function Q(u). Then, the quantile function of X is defined by Q(u) = F −1(u) = inffx j F (x) ≥ ug; 0 ≤ u ≤ 1: (1) Here and throughout the article, X is absolutely continuous nonnegative random variable with probability density ¯ dQ(u) function (pdf) f(x) and survival function F (x). If f(:) is the pdf of X, then f(Q(u)) and q(u) = du respectively known as the density quantile function and the quantile density function (see Parzen (1979)). Using (1.1), we have F (Q(u)) = u and differentiating it with respect to u obtain q(u)fQ(u) = 1: (2) The mean of the distribution assumed to be finite, is Z Z 1 1 E(X) = Q(p)dp = (1 − p)q(p)dp: (3) 0 0 In certain cases the approach based on quantile functions is more fruitful than the use of cumulative distribution functions, since quantile functions are less influenced by extreme statistical observations.
    [Show full text]
  • Statistical Size Distributions in Economics and Actuarial Sciences
    Statistical Size Distributions in Economics and Actuarial Sciences CHRISTIAN KLEIBER Universita¨t Dortmund, Germany SAMUEL KOTZ The George Washington University A JOHN WILEY AND SONS, INC., PUBLICATION Statistical Size Distributions in Economics and Actuarial Sciences WILEY SERIES IN PROBABILITY AND STATISTICS Established by WALTER A. SHEWHART and SAMUEL S. WILKS Editors: David J. Balding, Peter Bloomfield, Noel A. C. Cressie, Nicholas I. Fisher, Iain M. Johnstone, J. B. Kadane, Louise M. Ryan, David W. Scott, Adrian F. M. Smith, Jozef L. Teugels; Editors Emeriti: Vic Barnett, J. Stuart Hunter, David G. Kendall A complete list of the titles in this series appears at the end of this volume. Statistical Size Distributions in Economics and Actuarial Sciences CHRISTIAN KLEIBER Universita¨t Dortmund, Germany SAMUEL KOTZ The George Washington University A JOHN WILEY AND SONS, INC., PUBLICATION Copyright q 2003 by John Wiley & Sons, Inc. All rights reserved. Published by John Wiley & Sons, Inc., Hoboken, New Jersey. Published simultaneously in Canada. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, 978-750-8400, fax 978- 750-4470, or on the web at www.copyright.com. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, e-mail: [email protected].
    [Show full text]
  • The Latex Graphics Companion / Michel Goossens
    i i “tlgc2” — 2007/6/15 — 15:36 — page iii — #3 i i The LATEXGraphics Companion Second Edition Michel Goossens Frank Mittelbach Sebastian Rahtz Denis Roegel Herbert Voß Upper Saddle River, NJ • Boston • Indianapolis • San Francisco New York • Toronto • Montreal • London • Munich • Paris • Madrid Capetown • Sydney • Tokyo • Singapore • Mexico City i i i i i i “tlgc2” — 2007/6/15 — 15:36 — page iv — #4 i i Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and Addison-Wesley was aware of a trademark claim, the designations have been printed with initial capital letters or in all capitals. The authors and publisher have taken care in the preparation of this book, but make no expressed or implied warranty of any kind and assume no responsibility for errors or omissions. No liability is assumed for incidental or consequential damages in connection with or arising out of the use of the information or programs contained herein. The publisher offers discounts on this book when ordered in quantity for bulk purchases and special sales. For more information, please contact: U.S. Corporate and Government Sales (800) 382-3419 [email protected] For sales outside of the United States, please contact: International Sales [email protected] Visit Addison-Wesley on the Web: www.awprofessional.com Library of Congress Cataloging-in-Publication Data The LaTeX Graphics companion / Michel Goossens ... [et al.]. -- 2nd ed. p. cm. Includes bibliographical references and index. ISBN 978-0-321-50892-8 (pbk. : alk. paper) 1.
    [Show full text]
  • Quantile Approach of Generalized Cumulative Residual Inform- Ation Measure of Order (Α, Β)
    JIRSS (2020) Vol. 19, No. 02, pp 67-99 DOI:10.52547/jirss.19.2.67 Quantile Approach of Generalized Cumulative Residual Inform- ation Measure of Order (α, β) Vikas Kumar 1, Rekha Rani 1, and Nirdesh Singh 2. 1 Department of Applied Sciences, UIET, M. D. University, Rohtak-124001, India. 2 Department of Electrical Engineering, DCRUST, Murthal Sonipat-131039, India. Received: 04/01/2020, Revision received: 11/11/2020, Published online: 28/01/2021 Abstract. In this paper, we introduce the concept of quantile-based generalized cumulative residual entropy of order (α, β) for residual and past lifetimes and study their properties. Further, we study the proposed information measure for series and parallel systems when random variables are untruncated or truncated in nature and some characterization results are presented. At the end, we study generalized weighted dynamic cumulative residual entropy in terms of quantile functions. Keywords. Generalized Entropy,Cumulative Residual Entropy,Order Statistics, Quan- tile Function, Weighted Entropy. MSC: 62N05, 90B25. 1 Introduction A probability distribution can be specified either in terms of distribution function or by the quantile function. Although both convey the same information about the Corresponding Author: Vikas Kumar (vikas_iitr82@yahoo:co:in) Rekha Rani ([email protected]) Nirdesh Singh ([email protected]) 68 V. Kumar et al. distribution, with different interpretations, the concepts and methodologies based on distribution functions are traditionally employed in statistical theory and practice. Let X be a random variable with distribution function F(x) and quantile function Q(u). Then, the quantile function of X is defined by 1 Q(u) = F− (u) = inf x F(x) u ; 0 u 1: (1.1) f j ≥ g ≤ ≤ Here and throughout the article, X is a absolutely continuous nonnegative random variable with probability density function (pdf) f (x) and survival function F¯(x).
    [Show full text]
  • Methods to Produce Flexible and Accessible Learning Resources in Mathematics: Overview Document
    Methods to produce flexible and accessible learning resources in mathematics: overview document Emma Cliffe May 2012 Introduction This work was carried out as part of a HESTEM Mathematics Curriculum Inno- vation project. We have explored methods to produce flexible and accessible learning resources for mathematics with a focus on producing a guide for staff in HEI to enable them as individuals to create flexible resources efficiently and robustly. This document provides an overview of: • The literature identifying the required formats and technologies available for transforming or creating mathematical documents. • The data collected from staff on their current document production meth- ods. • The process we went through to produce the methods. • The remaining costs, risks and barriers. The methods themselves are not documented here. Please refer to the other project documents. i CONTENTS ii Contents 1 Overview of the literature 1 2 Staff and student input 3 2.1 Student view . 3 2.2 Staff view . 6 2.2.1 Teaching staff . 6 2.2.2 Support staff . 9 3 Production of the methods 11 4 Evaluation 12 5 Costs, risks, barriers 17 5.1 Further development and sustainability . 26 Bibliography 26 A Technologies list 30 1 OVERVIEW OF THE LITERATURE 1 1 Overview of the literature A review of the literature and available technologies confirmed the formats that we might need to produce but also furnished us with extensive lists of technolo- gies which might assist us. We present an overview of this literature here. The provision of partial notes in mathematics courses is perceived by students as beneficial to their learning and is strongly related to high academic perfor- mance [1].
    [Show full text]
  • The UK Tex FAQ Your 437 Questions Answered Version 3.19A, Date 2009-06-13
    The UK TeX FAQ Your 437 Questions Answered version 3.19a, date 2009-06-13 October 8, 2009 NOTE This document is an updated and extended version of the FAQ article that was published as the December 1994 and 1995, and March 1999 editions of the UK TUG magazine Baskerville (which weren’t formatted like this). The article is also available via the World Wide Web. Contents Introduction 10 Finding the Files 10 A The Background 10 1 What is TeX?............................. 10 2 How should I pronounce “TeX”?................... 11 3 What is MetaFont?........................... 11 4 What is MetaPost?........................... 11 5 Things with “TeX” in the name.................... 12 6 How can I be sure it’s really TeX?................... 13 7 Are TeX and friends Y2K compliant?................. 14 8 What is e-TeX?............................ 14 9 What is PDFTeX?........................... 14 10 What is LaTeX?............................ 15 11 What is LaTeX2e?........................... 15 12 How should I pronounce “LaTeX(2e)”?................ 15 13 Should I use Plain TeX or LaTeX?.................. 15 14 How does LaTeX relate to Plain TeX?................ 16 15 What is ConTeXt?........................... 16 16 What are the AMS packages (AMSTeX, etc.)?............ 16 17 What is Eplain?............................ 16 18 What is Lollipop?........................... 17 19 What is Texinfo?............................ 17 20 If TeX is so good, how come it’s free?................ 18 21 What is the future of TeX?....................... 18 22 Reading (La)TeX files......................... 18 23 Why is TeX not a WYSIWYG system?................. 19 24 TeX User Groups........................... 19 B Documentation and Help 20 25 Books on TeX and its relations.................... 20 26 Books on Type............................. 22 27 Where to find FAQs.........................
    [Show full text]
  • Pitch Angle Distribution Function of Local Spiral Galaxies and Its Role in Galactic Structure Michael S
    Draft version July 9, 2019 Typeset using LATEX twocolumn style in AASTeX62 Pitch Angle Distribution Function of Local Spiral Galaxies and Its Role in Galactic Structure 1, 2 3 1, 2 4 1, 2 Michael S. Fusco, Benjamin L. Davis, Daniel Kennefick, Marc S. Seigar, and Julia Kennefick 1Arkansas Center for Space and Planetary Sciences, Fayetteville, AR 72701 2Department of Physics, University of Arkansas, Fayetteville, AR 72701 3Centre for Astrophysics and Supercomputing, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia 4College of Science and Engineering , University of Minnesota, Duluth MN, 55812 (Received July 31, 2018; Revised July 9, 2019; Accepted July 9, 2019) Submitted to ApJ ABSTRACT We present an analysis of the Pitch Angle Distribution Function (PADF) and Black Hole Mass Function (BHMF) of a sample of nearby galaxies selected from the Carnegie-Irvine Galaxy Survey (CGS). Our subset consists of spiral galaxies with MB > −19:12 and limiting luminosity distance LD < 25:4Mpc (z = 0:00572). These constraints result in a set of 74 spiral galaxies, 51 with measurable pitch angles. This is an extension of work by Davis et. al on a different subset of the CGS with the same limiting magnitude as our sample, but Mb brighter than −19:12, but with the same limiting magnitude as our sample. Their selection of galaxies was magnitude limited for purposes of sample completeness. Folding our subset into this study on local galaxies yields a group restricted only in luminosity-distance rather than both luminosity-distance and Mb. We produce a BHMF for this combined sample, representative of spiral galaxies in the local universe.
    [Show full text]
  • Wissenschaftliches Arbeiten Und Präsentation (WS 2021/22)
    Wissenschaftliches Arbeiten und Präsentation (WS 2021/22) Martin Held Andreas Uhl FB Computerwissenschaften Universität Salzburg A-5020 Salzburg, Austria [email protected], [email protected] 17. September 2021 UNIV. SALZBURG COMPUTERWISSENSCHAFTEN Personalia: M. Held Instructor: M. Held. Email: [email protected]. Base-URL: https://www.cosy.sbg.ac.at/~held. Office: Universität Salzburg, Computerwissenschaften, Rm. 1.20, Jakob-Haringer Str. 2, 5020 Salzburg-Itzling. Phone number (office): (0662) 8044-6304. Phone number (secr.): (0662) 8044-6328. © Held, Uhl (Univ. Salzburg) WAP (WS 2021/22) 2/348 Personalia: A. Uhl Instructor: A. Uhl. Email-Adresse: [email protected]. WWW-Homepage: http://wavelab.at/member-uhl.shtml Büro: Computerwissenschaften, Zi. 1.15, Jakob-Haringer Str. 2, Salzburg-Itzling. Telefonnummer (Büro): (0662) 8044-6303. Telefonnummer (Sekr.): (0662) 8044-6328. © Held, Uhl (Univ. Salzburg) WAP (WS 2021/22) 3/348 Formalia: M. Held URL of course: :::/teaching/wiss_arbeiten/wiss_arbeiten.html. Lecture time: Friday 745–1050 (with a break of about 15–20 minutes). Venue: PLUS, Computerwissenschaften, T01, Jakob-Haringer Str. 2. Note — graded according to continuous-assessment mode! — regular attendance is compulsory! © Held, Uhl (Univ. Salzburg) WAP (WS 2021/22) 4/348 Formalia: A. Uhl LVA-URL: http://www.cosy.sbg.ac.at/˜uhl/student.html. Abhaltezeit der LVA: Freitag 800–1100. Abhalteort der LVA: T02, Computerwissenschaften, Jakob-Haringer Str. 2. © Held, Uhl (Univ. Salzburg) WAP (WS 2021/22) 5/348 Goals Welcome to an introduction to scientific working techniques and to some of the software packages that your CS faculty use for their own scientific work! We will explain how “science” works, what scientific literature is and how it can be found, we will talk about the theory and practice of giving scientific presentations, and we will discuss software packages for I preparing advanced scientific documents and slides for presentations, I drafting figures, plots, and similar illustrations, I manipulating mathematical formulae.
    [Show full text]
  • Systems of Frequency Distributions for Water and Environmental Engineering Vijay P
    Cambridge University Press 978-1-108-49464-9 — Systems of Frequency Distributions for Water and Environmental Engineering Vijay P. Singh , Lan Zhang Frontmatter More Information SYSTEMS OF FREQUENCY DISTRIBUTIONS FOR WATER AND ENVIRONMENTAL ENGINEERING A multitude of processes in hydrology and environmental engineering are either random or entail random components that are characterized by random variables. These variables are described by frequency distributions. This book provides an overview of different systems of frequency distributions, their properties, and their applications to the fields of water resources and environmental engineering. A variety of systems are covered, including the Pearson system, the Burr system, and systems commonly applied in economics, such as the D’Addario, Dagum, Stoppa, and Esteban systems. The latter chapters focus on the Singh system and the frequency distributions deduced from Bessel functions, maximum entropy theory, and the transformations of random variables. The final chapter introduces the genetic theory of frequency distributions. Using real-world data, this book provides a valuable reference for researchers, graduate students, and professionals interested in frequency analysis. vijay p. singh is a University Distinguished Professor, a Regents Professor, and Caroline and William N. Lehrer Distinguished Chair in Water Engineering at Texas A&M Univer- sity. He has published more than 1,220 journal articles, 30 books, 70 edited reference books, 113 book chapters, and 314 conference papers in the areas of hydrology, groundwater, hydraulics, irrigation, pollutant transport, copulas, entropy, and water resources. He has received 95 national and international awards, including the Arid Lands Hydraulic Engin- eering Award; the Richard R. Torrens Award; the Norman Medal; the EWRI Lifetime Achievement Award given by the American Society of Civil Engineers (ASCE); the Ray K.
    [Show full text]
  • Package 'Hmisc'
    Package ‘Hmisc’ February 15, 2013 Version 3.10-1 Date 2012-10-24 Title Harrell Miscellaneous Author Frank E Harrell Jr <[email protected]>, with contributions from Charles Dupont and many others. Maintainer Charles Dupont <[email protected]> Depends R (>= 2.4.0), methods, survival Imports lattice, cluster, survival Suggests lattice, grid, nnet, foreign, chron, acepack, TeachingDemos,rms, cluster, mice, subselect, tree Description The Hmisc library contains many functions useful for data analysis, high-level graphics, utility operations, functions for computing sam- ple size and power, importing datasets,imputing missing values, advanced table making, variable clustering, character string manipulation, conversion of S objects to LaTeX code, and recoding variables. Please submit bug reports to ’http://biostat.mc.vanderbilt.edu/trac/Hmisc’. License GPL (>= 2) LazyLoad Yes URL http://biostat.mc.vanderbilt.edu/Hmisc, http://biostat.mc.vanderbilt.edu/trac/Hmisc Repository CRAN Date/Publication 2012-10-25 14:00:08 NeedsCompilation yes 1 2 R topics documented: R topics documented: abs.error.pred . .5 all.is.numeric . .6 approxExtrap . .7 areg .............................................8 aregImpute . 12 binconf . 20 biVar............................................. 22 bootkm . 24 bpower . 26 bpplot . 28 bystats . 30 capitalize . 32 ciapower . 33 cnvrt.coords . 34 consolidate . 37 contents . 38 cpower . 40 Cs.............................................. 43 csv.get . 43 curveRep . 45 cut2 ............................................. 50 data.frame.create.modify.check . 52 dataRep . 61 deff ............................................. 63 describe . 64 discrete . 69 dotchart2 . 71 dropUnusedLevels . 73 Ecdf............................................. 74 eip.............................................. 78 equalBins . 79 errbar . 80 escapeRegex . 81 event.chart . 83 event.convert . 93 event.history . 94 find.matches . 100 first.word . 104 format.df . 105 format.pval . 108 gbayes .
    [Show full text]
  • Packages Documentation Release 0.1.1
    Packages Documentation Release 0.1.1 Louis Paternault July 20, 2015 Contents 1 Installed tools 3 1.1 System information...........................................3 1.2 Available python versions........................................3 1.3 Installed python packages........................................4 1.4 Installed binaries............................................. 17 1.5 Installed C libraries............................................ 50 1.6 Installed .deb packages.......................................... 60 1.7 Installed LaTeX packages........................................ 87 2 Download and install 169 3 Usage 171 i ii Packages Documentation, Release 0.1.1 This sphinx extension provides some directives to see what tools are available on the compiling machine. I wrote this because I was developping a sphinx extension calling system commands, and I wanted to be able to use is on readthedocs, but I did not know which tools were available there: the official list of installed tools is pretty scarce. Warning: If your are reading this on readthedocs, keep in mind that thoses lists are not official. It is not guaranteed that those tools will remain available in the future: they only reflects what was available when this documentation was compiled. I do not know and I have nothing to do with readthedocs, so I do not know how they choose what to install. Contents 1 Packages Documentation, Release 0.1.1 2 Contents CHAPTER 1 Installed tools If you want to see installed tools, the list is here. Else, se below for more information about this package. 1.1 System information This information is provided by directive: .. packages:platform:: It list some platform information. Machine x86_64 Platform Linux-3.13.0-55-generic-x86_64-with-Ubuntu-14.04-trusty System Linux Release 3.13.0-55-generic Version #92-Ubuntu SMP Sun Jun 14 18:32:20 UTC 2015 Processor x86_64 Architecture 64bit ELF Linux distribution Ubuntu 14.04 trusty 1.2 Available python versions This information is provided by directive: .
    [Show full text]
  • 991022289504303411.Pdf
    Copyright Undertaking This thesis is protected by copyright, with all rights reserved. By reading and using the thesis, the reader understands and agrees to the following terms: 1. The reader will abide by the rules and legal ordinances governing copyright regarding the use of the thesis. 2. The reader will use the thesis for the purpose of research or private study only and not for distribution or further reproduction or any other purpose. 3. The reader agrees to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage. IMPORTANT If you have reasons to believe that any materials in this thesis are deemed not suitable to be distributed in this form, or a copyright owner having difficulty with the material being included in our database, please contact [email protected] providing details. The Library will look into your claim and consider taking remedial action upon receipt of the written requests. Pao Yue-kong Library, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong http://www.lib.polyu.edu.hk STATISTICAL SIGNAL PROCESSING FOR ACOUSTIC DIRECTION FINDING AND FOR ROADWAY SOUND-LEVEL DISTRIBUTION MODELING MUHAMMAD MUAZ Ph.D The Hong Kong Polytechnic University 2018 The Hong Kong Polytechnic University Department of Electronic and Information Engineering Statistical Signal Processing for Acoustic Direction Finding and for Roadway Sound-Level Distribution Modeling Muhammad MUAZ A thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy April 2018 CERTIFICATE OF ORIGINALITY I hereby declare that this thesis is my own work and that, to the best of my knowledge and belief, it reproduces no material previously published or written, nor material that has been accepted for the award of any other degree or diploma, except where due acknowledgment has been made in the text.
    [Show full text]