TMS320C6652 and TMS320C6654 Fixed and Floating-Point Digital Signal Processor Datasheet
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1 Dynamisches Tool Zur (Grafischen) Datenanalyse
Statistik-Software Kommerzielle Software Freeware S-Plus www.insightful.com/products/splus/ R www.r-project.org/ SPSS www.spss.com/ PSPP www.gnu.org/software/pspp/pspp.html NCSS www.ncss.com/ Matlab www.mathworks.de/ Octave, Scilab www.scilab.org/ Eviews www.eviews.com PD Dr. Matthias Fischer Ox www.oxmetrics.net/ SAS www.sas.com/ [email protected] STATA www.stata.com/ LIMDEP www.limdep.com/ JMultiwww.jmulti.de/ Version 2.0 Matthias Fischer () Einf¨uhrung in R Version 2.0 1 / 95 Matthias Fischer () Einf¨uhrung in R Version 2.0 2 / 95 Warum R? R-Homepage http://www.r-project.org/ 1 Dynamisches Tool zur (grafischen) Datenanalyse 2 Taschenrechnerfunktion 3 Programmiersprache 4 Freeware-Version von S-PLUS 5 Alternative zu MATLAB, GAUSS, OX, etc. 6 Erg¨anzung zu Excel oder SPSS Download, Dokumentation, Newsgroups Matthias Fischer () Einf¨uhrung in R Version 2.0 3 / 95 Matthias Fischer () Einf¨uhrung in R Version 2.0 4 / 95 R-Installation 1/4 Start der Datei R-2.2.1-win32.exe Installation Matthias Fischer () Einf¨uhrung in R Version 2.0 5 / 95 Matthias Fischer () Einf¨uhrung in R Version 2.0 6 / 95 R-Installation 2/4 R-Installation 3/4 Matthias Fischer () Einf¨uhrung in R Version 2.0 7 / 95 Matthias Fischer () Einf¨uhrung in R Version 2.0 8 / 95 R-Installation 4/4 Literatur Matthias Fischer () Einf¨uhrung in R Version 2.0 9 / 95 Matthias Fischer () Einf¨uhrung in R Version 2.0 10 / 95 R-B¨ucher R-B¨ucher Everitt Behr An R and S-Plus Companion to Multivariate Analysis. -
Statistics and GIS Assistance Help with Statistics
Statistics and GIS assistance An arrangement for help and advice with regard to statistics and GIS is now in operation, principally for Master’s students. How do you seek advice? 1. The users, i.e. students at INA, make direct contact with the person whom they think can help and arrange a time for consultation. Remember to be well prepared! 2. Doctoral students and postdocs register the time used in Agresso (if you have questions about this contact Gunnar Jensen). Help with statistics Research scientist Even Bergseng Discipline: Forest economy, forest policies, forest models Statistical expertise: Regression analysis, models with random and fixed effects, controlled/truncated data, some time series modelling, parametric and non-parametric effectiveness analyses Software: Stata, Excel Postdoc. Ole Martin Bollandsås Discipline: Forest production, forest inventory Statistics expertise: Regression analysis, sampling Software: SAS, R Associate Professor Sjur Baardsen Discipline: Econometric analysis of markets in the forest sector Statistical expertise: General, although somewhat “rusty”, expertise in many econometric topics (all-rounder) Software: Shazam, Frontier Associate Professor Terje Gobakken Discipline: GIS og long-term predictions Statistical expertise: Regression analysis, ANOVA and PLS regression Software: SAS, R Ph.D. Student Espen Halvorsen Discipline: Forest economy, forest management planning Statistical expertise: OLS, GLS, hypothesis testing, autocorrelation, ANOVA, categorical data, GLM, ANOVA Software: (partly) Shazam, Minitab og JMP Ph.D. Student Jan Vidar Haukeland Discipline: Nature based tourism Statistical expertise: Regression and factor analysis Software: SPSS Associate Professor Olav Høibø Discipline: Wood technology Statistical expertise: Planning of experiments, regression analysis (linear and non-linear), ANOVA, random and non-random effects, categorical data, multivariate analysis Software: R, JMP, Unscrambler, some SAS Ph.D. -
Applied Econometrics Using MATLAB
Applied Econometrics using MATLAB James P. LeSage Department of Economics University of Toledo CIRCULATED FOR REVIEW October, 1998 2 Preface This text describes a set of MATLAB functions that implement a host of econometric estimation methods. Toolboxes are the name given by the MathWorks to related sets of MATLAB functions aimed at solving a par- ticular class of problems. Toolboxes of functions useful in signal processing, optimization, statistics, nance and a host of other areas are available from the MathWorks as add-ons to the standard MATLAB software distribution. I use the termEconometrics Toolbox to refer to the collection of function libraries described in this book. The intended audience is faculty and students using statistical methods, whether they are engaged in econometric analysis or more general regression modeling. The MATLAB functions described in this book have been used in my own research as well as teaching both undergraduate and graduate econometrics courses. Researchers currently using Gauss, RATS, TSP, or SAS/IML for econometric programming might nd switching to MATLAB advantageous. MATLAB software has always had excellent numerical algo- rithms, and has recently been extended to include: sparse matrix algorithms, very good graphical capabilities, and a complete set of object oriented and graphical user-interface programming tools. MATLAB software is available on a wide variety of computing platforms including mainframe, Intel, Apple, and Linux or Unix workstations. When contemplating a change in software, there is always the initial investment in developing a set of basic routines and functions to support econometric analysis. It is my hope that the routines in the Econometrics Toolbox provide a relatively complete set of basic econometric analysis tools. -
Insight MFR By
Manufacturers, Publishers and Suppliers by Product Category 11/6/2017 10/100 Hubs & Switches ASCEND COMMUNICATIONS CIS SECURE COMPUTING INC DIGIUM GEAR HEAD 1 TRIPPLITE ASUS Cisco Press D‐LINK SYSTEMS GEFEN 1VISION SOFTWARE ATEN TECHNOLOGY CISCO SYSTEMS DUALCOMM TECHNOLOGY, INC. GEIST 3COM ATLAS SOUND CLEAR CUBE DYCONN GEOVISION INC. 4XEM CORP. ATLONA CLEARSOUNDS DYNEX PRODUCTS GIGAFAST 8E6 TECHNOLOGIES ATTO TECHNOLOGY CNET TECHNOLOGY EATON GIGAMON SYSTEMS LLC AAXEON TECHNOLOGIES LLC. AUDIOCODES, INC. CODE GREEN NETWORKS E‐CORPORATEGIFTS.COM, INC. GLOBAL MARKETING ACCELL AUDIOVOX CODI INC EDGECORE GOLDENRAM ACCELLION AVAYA COMMAND COMMUNICATIONS EDITSHARE LLC GREAT BAY SOFTWARE INC. ACER AMERICA AVENVIEW CORP COMMUNICATION DEVICES INC. EMC GRIFFIN TECHNOLOGY ACTI CORPORATION AVOCENT COMNET ENDACE USA H3C Technology ADAPTEC AVOCENT‐EMERSON COMPELLENT ENGENIUS HALL RESEARCH ADC KENTROX AVTECH CORPORATION COMPREHENSIVE CABLE ENTERASYS NETWORKS HAVIS SHIELD ADC TELECOMMUNICATIONS AXIOM MEMORY COMPU‐CALL, INC EPIPHAN SYSTEMS HAWKING TECHNOLOGY ADDERTECHNOLOGY AXIS COMMUNICATIONS COMPUTER LAB EQUINOX SYSTEMS HERITAGE TRAVELWARE ADD‐ON COMPUTER PERIPHERALS AZIO CORPORATION COMPUTERLINKS ETHERNET DIRECT HEWLETT PACKARD ENTERPRISE ADDON STORE B & B ELECTRONICS COMTROL ETHERWAN HIKVISION DIGITAL TECHNOLOGY CO. LT ADESSO BELDEN CONNECTGEAR EVANS CONSOLES HITACHI ADTRAN BELKIN COMPONENTS CONNECTPRO EVGA.COM HITACHI DATA SYSTEMS ADVANTECH AUTOMATION CORP. BIDUL & CO CONSTANT TECHNOLOGIES INC Exablaze HOO TOO INC AEROHIVE NETWORKS BLACK BOX COOL GEAR EXACQ TECHNOLOGIES INC HP AJA VIDEO SYSTEMS BLACKMAGIC DESIGN USA CP TECHNOLOGIES EXFO INC HP INC ALCATEL BLADE NETWORK TECHNOLOGIES CPS EXTREME NETWORKS HUAWEI ALCATEL LUCENT BLONDER TONGUE LABORATORIES CREATIVE LABS EXTRON HUAWEI SYMANTEC TECHNOLOGIES ALLIED TELESIS BLUE COAT SYSTEMS CRESTRON ELECTRONICS F5 NETWORKS IBM ALLOY COMPUTER PRODUCTS LLC BOSCH SECURITY CTC UNION TECHNOLOGIES CO FELLOWES ICOMTECH INC ALTINEX, INC. -
Rice Research Versus Rice Imports in Malaysia: a Dynamic Spatial Equilibrium Model
COPYRIGHT AND USE OF THIS THESIS This thesis must be used in accordance with the provisions of the Copyright Act 1968. Reproduction of material protected by copyright may be an infringement of copyright and copyright owners may be entitled to take legal action against persons who infringe their copyright. Section 51 (2) of the Copyright Act permits an authorized officer of a university library or archives to provide a copy (by communication or otherwise) of an unpublished thesis kept in the library or archives, to a person who satisfies the authorized officer that he or she requires the reproduction for the purposes of research or study. The Copyright Act grants the creator of a work a number of moral rights, specifically the right of attribution, the right against false attribution and the right of integrity. You may infringe the author’s moral rights if you: - fail to acknowledge the author of this thesis if you quote sections from the work - attribute this thesis to another author - subject this thesis to derogatory treatment which may prejudice the author’s reputation For further information contact the University’s Director of Copyright Services sydney.edu.au/copyright RICE RESEARCH VERSUS RICE IMPORTS IN MALAYSIA: A DYNAMIC SPATIAL EQUILIBRIUM MODEL Deviga Vengedasalam A thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy Department of Agricultural and Resource Economics Faculty of Agriculture and Environment The University of Sydney New South Wales Australia February 2013 STATEMENT OF ORIGINALITY I hereby certify that the substance of the material used in this study is my own research and has not been submitted or is not currently being submitted for any other degree. -
A Study on the Utilization of E-Resources Among College Students
International Journal of Knowledge Engineering, Vol. 6, No. 1, June 2020 A Study on the Utilization of e-Resources among College Students Rebilyn G. Roman, Charles Spencer P. Trobada, Ferginia P. Gaton, Catherine Kate Gania, Solomon Ayodele Oluyinka, Heidie O. Cuenco, and Richard G. Daenos libraries more convenient. Libraries need to prioritize and Abstract—E-resources are information resources that can be acquire materials that are relevant to the fields of study of the accessed through the use of electronic devices. With the fast user community and supplement these materials with development of technology, it is imperative that libraries also e-resources. adapt to the changing times. Libraries are now incorporating e-resources to their collection to accommodate the needs of their The management of information in university libraries has clients. Gale is an electronic database that houses e-books and greatly changed due to the advent of electronic information e-journals. This study examined the factors that affect the resources [6]. With the use of electronic resources, this made utilization of the Gale electronic resources among college it possible for researchers to gather and use the information students. Questionnaires were randomly distributed to a total of needed anytime thus getting updated with the current trends 201 3rd year and 4th year students. The factors identified, and developments of the field [7]. E-resources serve as a Awareness, Usefulness and Challenges were derived from related studies. The collected data were analyzed using solution to save space and regulate the flow of information in SmartPLS. The results showed that the aforementioned factors libraries [8], [9]. -
Agricultural Policy Analysis Project
AGRICULTURAL POLICY ANALYSIS PROJECT Science and Technology, Office of Agriculture Under contract to the Agency for International Development, Bureau for Project Office 4250 Connecticut Avenue, N.W. Washington, D.C 20008 * Telephone: (202) 362-2800 AGRICULTURAL POLICY ANALYSIS TOOLS FOR ECONOMIC DEVELOPMENT APAP MAIN DOCUMENT NO. 2 By: LUTHER G. TWEETEN, Editor, et. al. NOVEMBER, 1988 Submitted to: Dr. William Goodwin U.S. Agency ior International Development S&T/AGR, SA-18 Reor 403 Washington, D.C. 20523 Prime Contractor: At Associates Inc., 55 Wheeler Street. Cambridge. Massachusetts 02138 (617) 492-7100 Subcontractors: Robert R. Nathan Associates, Inc. 1301 Pennsylvania Avenue, NW.. Washington. DC 20004 (202) 393-2700 Abel, Daft & Earigy, 1339 Wisconsin Avenue. NW.. Washington. DC 20007 (202) 342-7620 Oklahoma State University, Department o Agricultural Economics. Stillwater. Oklahoma 74078 (405) 624-6157 AGENCY FOR INTERNATIONAL DEVELOPMENT PPC/CDIE/DI REPORT PROCESSING FORM ENTER INFOPMATION ONLY IF NOT INCLUDED ON COVER OR TITLE PAGE OF DOCUMENT 1. Proiect/Subproiect Number 2. Contract/Grant Number 3. Publication Date APAP/936-4084 DAN-4084-C-00-3087-00 November, 1988 4. Document Title/Translated Title Agricultural Policy Analysis Tools for Economic Development L 5. Author(s) I. Luther G. Tweeten editor, et. al. 3. 6 Contributing Organization(s) IAbt Associates, In., Cambridge, MA ;Robert R. Nathan Associates, Inc., Washington, D.C. Abel, Daft and Earley, Inc., Alexandria, VA A.W Z State ni iv ept. f A-r. nllcwntpr OK 7. a.maon. ort '". SSmberonsorin A I. l-.6 ice_ 393 PAP Main Docunt[ AD/ST/AGR/EPP 10. Abstract (optional - .50 word limit) "Tools" provides approaches to and techniques useful in analyzing very real world problems in agricultural policy analysis. -
Statistical Softwares: Introduction Team Maarten Jansen 1
Statistical softwares: introduction Team Maarten Jansen 1. Maarten Jansen and Toufik Zahaf 2. Teaching assistant: Bastien Marquis http://homepages.ulb.ac.be/˜majansen/teaching/STAT-F-413/ c Maarten Jansen STAT-F-413 — Statistical softwares: introduction p.1 Objectives Forbidden data • Retrieve and analyse your own real data Not allowed: • Use at least two different software systems and two different types of analyses (typ- • Time series: time dependence of your data is allowed (longitudinal), but ically ANOVA and regression, but others are equally welcome: principle component analysis etc.) time must not be the dominant explanatory variable • Find your data • Birth weights of babies 1. at a company, hospital, banks, insurance company: this option is by far the best. If you get data, then also try to get to know what sort of business questions the company/organization is trying to answer: use the data to respond to the questions. 2. Otherwise (but less preferable) on the internet, e.g.: government data (such as statbel.gov.be) This option has the drawback that it is harder to be original and harder to focus on specific business questions. The data should be original, in the sense that they must not be popular in scien- tific papers or textbooks as illustration of a method. – Number of births per communality – Macro-economical data; per country, european, regional, provinces etc. – Socio-economical data c Maarten Jansen STAT-F-413 — Statistical softwares: introduction p.2 c Maarten Jansen STAT-F-413 — Statistical softwares: introduction p.3 Why not time-series Note on the data size: large enough.. -
Spatial Tools for Econometric and Exploratory Analysis
Spatial Tools for Econometric and Exploratory Analysis Michael F. Goodchild University of California, Santa Barbara Luc Anselin University of Illinois at Urbana-Champaign http://csiss.org Outline ¾A Quick Tour of a GIS ¾Spatial Data Analysis ¾CSISS Tools Spatial Data Analysis Principles: 1. Integration ¾Linking data through common location the layer cake ¾Linking processes across disciplines spatially explicit processes e.g. economic and social processes interact at common locations 2. Spatial analysis ¾Social data collected in cross- section longitudinal data are difficult to construct ¾Cross-sectional perspectives are rich in context can never confirm process though they can perhaps falsify useful source of hypotheses, insights 3. Spatially explicit theory ¾Theory that is not invariant under relocation ¾Spatial concepts (location, distance, adjacency) appear explicitly ¾Can spatial concepts ever explain, or are they always surrogates for something else? 4. Place-based analysis ¾Nomothetic - search for general principles ¾Idiographic - description of unique properties of places ¾An old debate in Geography The Earth's surface ¾Uncontrolled variance ¾There is no average place ¾Results depend explicitly on bounds ¾Places as samples ¾Consider the model: y = a + bx Tract Pop Location Shape 1 3786 x,y 2 2966 x,y 3 5001 x,y 4 4983 x,y 5 4130 x,y 6 3229 x,y 7 4086 x,y 8 3979 x,y Iij = EiAjf (dij) / ΣkAkf (dik) Aj d Ei ij Types of Spatial Data Analysis ¾ Exploratory Spatial Data Analysis • exploring the structure of spatial data • determining -
APPENDICES Appendix A
APPENDICES Appendix A Analysis of Industry Crude and Product Oil Spills on the Alaska North Slope and Estimates of Potential Spills for the Liberty Development Project _____________________________________________________ Appendix A. Analysis of Industry Crude and Product Oil Spills on the Alaska North Slope and Estimates of Potential Spills for the Liberty Development Project July 2, 2007 SUBMITTED TO: BP Exploration (Alaska) Inc. P.O. Box 196612 Anchorage, Alaska 99519-6612 SUBMITTED BY: Everest Consulting Associates 15 North Main Street Cranbury, NJ 08512 __________________________________________________ Appendix A. Analysis of Industry Crude and Product Oil Spills on the Alaska North Slope and Estimates of Potential Spills for the Liberty Development Project Table of Contents: Summary ............................................................................................................................................... 1 Introduction ........................................................................................................................................... 4 A brief description of Typical ANS Oil and Gas facilities.................................................................... 5 Types of spills ....................................................................................................................................... 6 The spill database .................................................................................................................................. 7 -Updating the oil spill database -
Models De Dades Dels SIG a Internet. Aspectes Teòrics I Aplicats
Models de dades dels SIG a Internet. Aspectes teòrics i aplicats Internet GIS Data models. Theoretical and applied aspects Tesi Doctoral Doctorat en Geografia Facultat de Filosofia i Lletres Universitat Autònoma de Barcelona Doctorand: Joan Masó Pau Director: Dr. Xavier Pons Fernández Juny del 2012 La portada l’aquest document es basa en una composició RGB en color fals obtinguda amb 3 canals espectrals (Infraroig proper, infraroig mitjà i vermell) que provenen d’un mosaic d’escenes Landsat 7 preses l’agost de 2003 i que es pot obtenir del servidor SatCat. (www.opengis.uab.cat/wms/satcat). Per a realitzar la portada s’ha escollit una regió de Catalunya que no contingués mar ni zones fora de l’àmbit. Per a la contraportada (a l’esquerra) i per a la portada (a la dreta), la regió s’ha dividit en sengles parts La imatge té 20 m de costat de píxel i ha estat tallada en tessel∙les de 256x256 píxels amb els procediments de preparació de capes del MiraMon per accelerar el rendiment en proporcionar una capa en un servei conforme a l’estàndard WMTS. La tessel∙lació consta de 55x55 tessel∙les de les qual finalment es fa servir una matriu de 24x17, començant a la tessel∙la (12,12) i acabant a la tessel∙la (28,35). “You're being confused by irrelevant data. Ignore it.” Seven of Nine from: Survival Instinct (1999) Star Trek Voyager series “This was just a first step. In time you’ll take another. Small moves, Ellie. Small moves.” Ted Arroway from: Contact (1997) movie ÍNDEX/TABLE OF CONTENTS Índex general/Table of contents ÍNDEX/TABLE OF CONTENTS ........................................................................................... -
Data Analytics (DAT)
Data Analytics (DAT) DAT 7723. Querying SQL. 0.0 Hours. Class-440.0. Clinical-0.0. Lab-0.0. Data Analytics (DAT) Work-0.0 Learning SQL can be one of the greatest career decisions you make. DAT 7711. Database Fundamentals. 0.0 Hours. Class-440.0. Between the potential salary, no longer relying on others to give you Clinical-0.0. Lab-0.0. Work-0.0 information, and being able to ask any question about your business, CPCC login required. Understanding how relational databases are learning SQL enables you to do so much more than you have done designed for maximum data manipulation is the first step in the field of previously. Simply put, SQL is the language you use to interact with a data management and analytics. You will learn core database concepts, database and is the most sought after skill set regardless of your role. and how to create database objects and manipulate data. Maps to Corequisites: Take DAT 7711 with a minimum grade of S Microsoft Technology Associate exam #98-364. DAT 7724. Developing SQL. 0.0 Hours. Class-440.0. Clinical-0.0. DAT 7712. Business Intelligence Fundamentals. 0.0 Hours. Lab-0.0. Work-0.0 Class-440.0. Clinical-0.0. Lab-0.0. Work-0.0 This class is intended for individuals who have completed Querying Discover the best practices to access and analyze data while gaining SQL and who are ready to move beyond the fundamentals of querying the confidence to dive right into your processes to improve and optimize and advance their skills in programmability, data definition (DDL) and business decisions and performance.