Recent Statistical Software
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Freenas® 11.0 User Guide
FreeNAS® 11.0 User Guide June 2017 Edition FreeNAS® IS © 2011-2017 iXsystems FreeNAS® AND THE FreeNAS® LOGO ARE REGISTERED TRADEMARKS OF iXsystems FreeBSD® IS A REGISTERED TRADEMARK OF THE FreeBSD Foundation WRITTEN BY USERS OF THE FreeNAS® network-attached STORAGE OPERATING system. VERSION 11.0 CopYRIGHT © 2011-2017 iXsystems (https://www.ixsystems.com/) CONTENTS WELCOME....................................................1 TYPOGRAPHIC Conventions...........................................2 1 INTRODUCTION 3 1.1 NeW FeaturES IN 11.0..........................................3 1.2 HarDWARE Recommendations.....................................4 1.2.1 RAM...............................................5 1.2.2 The OperATING System DeVICE.................................5 1.2.3 StorAGE Disks AND ContrOLLERS.................................6 1.2.4 Network INTERFACES.......................................7 1.3 Getting Started WITH ZFS........................................8 2 INSTALLING AND UpgrADING 9 2.1 Getting FreeNAS® ............................................9 2.2 PrEPARING THE Media.......................................... 10 2.2.1 On FreeBSD OR Linux...................................... 10 2.2.2 On WindoWS.......................................... 11 2.2.3 On OS X............................................. 11 2.3 Performing THE INSTALLATION....................................... 12 2.4 INSTALLATION TROUBLESHOOTING...................................... 18 2.5 UpgrADING................................................ 19 2.5.1 Caveats:............................................ -
Tigersharc DSP Hardware Specification, Revision 1.0.2, Direct Memory Access
7 DIRECT MEMORY ACCESS Figure 7-0. Table 7-0. Listing 7-0. Overview Direct Memory Access (DMA) is a mechanism for transferring data with- out core being involved. The TigerSHARC® DSP’s on-chip DMA controller relieves the core processor of the burden of moving data between internal memory and an external device, external memory, or between link ports and internal or external memory. The fully-integrated DMA controller allows the TigerSHARC® DSP core processor, or an external device, to specify data transfer operations and return to normal processing while the DMA controller carries out the data transfers in the background. The TigerSHARC® DSP DMA competes with other masters for internal memory access. For more information, see “Architecture and Microarchi- tecture Overview” on page 6-7. This conflict is minimized due to the large internal memory bandwidth that is available. The DMA includes 14 DMA channels, four of which are dedicated to external memory devices, eight to link ports, and two to AutoDMA registers. TigerSHARC DSP Hardware Specification 7 - 1 Overview Figure 7-1 shows a block diagram of the TigerSHARC® DSP’s DMA controller. TRANSMITTER RECEIVER TCB TCB REGISTERS REGISTERS Internal DMA DMA CONTROLLER Bus Requests Interface Figure 7-1. DMA Block Diagram Data Transfers — General Information The DMA controller can perform several types of data transfers: • Internal memory ⇒ external memory and memory-mapped periph- erals • Internal memory ⇒ internal memory of other TigerSHARC® DSPs residing on the cluster bus • Internal memory ⇒ host processor • Internal memory ⇒ link port I/O • External memory ⇒ external peripherals 7 - 2 TigerSHARC DSP Hardware Specification Direct Memory Access • External memory ⇒ internal memory • External memory ⇒ link port I/O • Link port I/O ⇒ internal memory • Link port I/O ⇒ external memory • Cluster bus master via AutoDMA registers ⇒ internal memory Internal-to-internal memory transfers are not directly supported. -
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. -
Performance, Scalability on the Server Side
Performance, Scalability on the Server Side John VanDyk Presented at Des Moines Web Geeks 9/21/2009 Who is this guy? History • Apple // • Macintosh • Windows 3.1- Server 2008R2 • Digital Unix (Tru64) • Linux (primarily RHEL) • FreeBSD Systems Iʼve worked with over the years. Languages • Perl • Userland Frontier™ • Python • Java • Ruby • PHP Languages Iʼve worked with over the years (Userland Frontier™ʼs integrated language is UserTalk™) Open source developer since 2000 Perl/Python/PHP MySQL Apache Linux The LAMP stack. Time to Serve Request Number of Clients Performance vs. scalability. network in network out RAM CPU Storage These are the basic laws of physics. All bottlenecks are caused by one of these four resources. Disk-bound •To o l s •iostat •vmstat Determine if you are disk-bound by measuring throughput. vmstat (BSD) procs memory page disk faults cpu r b w avm fre flt re pi po fr sr tw0 in sy cs us sy id 0 2 0 799M 842M 27 0 0 0 12 0 23 344 2906 1549 1 1 98 3 3 0 869M 789M 5045 0 0 0 406 0 10 1311 17200 5301 12 4 84 3 5 0 923M 794M 5219 0 0 0 5178 0 27 1825 21496 6903 35 8 57 1 2 0 931M 784M 909 0 0 0 146 0 12 955 9157 3570 8 4 88 blocked plenty of RAM, idle processes no swapping CPUs A disk-bound FreeBSD machine. b = blocked for resources fr = pages freed/sec cs = context switches avm = active virtual pages in = interrupts flt = memory page faults sy = system calls per interval vmstat (RHEL5) # vmstat -S M 5 25 procs ---------memory-------- --swap- ---io--- --system- -----cpu------ r b swpd free buff cache si so bi bo in cs us sy id wa st 1 0 0 1301 194 5531 0 0 0 29 1454 2256 24 20 56 0 0 3 0 0 1257 194 5531 0 0 0 40 2087 2336 34 27 39 0 0 2 0 0 1183 194 5531 0 0 0 53 1658 2763 33 28 39 0 0 0 0 0 1344 194 5531 0 0 0 34 1807 2125 29 19 52 0 0 no blocked busy but not processes overloaded CPU in = interrupts/sec cs = context switches/sec wa = time waiting for I/O Solving disk bottlenecks • Separate spindles (logs and databases) • Get rid of atime updates! • Minimize writes • Move temp writes to /dev/shm Overview of what weʼre about to dive into. -
Xcode Package from App Store
KH Computational Physics- 2016 Introduction Setting up your computing environment Installation • MAC or Linux are the preferred operating system in this course on scientific computing. • Windows can be used, but the most important programs must be installed – python : There is a nice package ”Enthought Python Distribution” http://www.enthought.com/products/edudownload.php – C++ and Fortran compiler – BLAS&LAPACK for linear algebra – plotting program such as gnuplot Kristjan Haule, 2016 –1– KH Computational Physics- 2016 Introduction Software for this course: Essentials: • Python, and its packages in particular numpy, scipy, matplotlib • C++ compiler such as gcc • Text editor for coding (for example Emacs, Aquamacs, Enthought’s IDLE) • make to execute makefiles Highly Recommended: • Fortran compiler, such as gfortran or intel fortran • BLAS& LAPACK library for linear algebra (most likely provided by vendor) • open mp enabled fortran and C++ compiler Useful: • gnuplot for fast plotting. • gsl (Gnu scientific library) for implementation of various scientific algorithms. Kristjan Haule, 2016 –2– KH Computational Physics- 2016 Introduction Installation on MAC • Install Xcode package from App Store. • Install ‘‘Command Line Tools’’ from Apple’s software site. For Mavericks and lafter, open Xcode program, and choose from the menu Xcode -> Open Developer Tool -> More Developer Tools... You will be linked to the Apple page that allows you to access downloads for Xcode. You wil have to register as a developer (free). Search for the Xcode Command Line Tools in the search box in the upper left. Download and install the correct version of the Command Line Tools, for example for OS ”El Capitan” and Xcode 7.2, Kristjan Haule, 2016 –3– KH Computational Physics- 2016 Introduction you need Command Line Tools OS X 10.11 for Xcode 7.2 Apple’s Xcode contains many libraries and compilers for Mac systems. -
Omegahat Packages for R
News The Newsletter of the R Project Volume 1/1, January 2001 Editorial by Kurt Hornik and Friedrich Leisch As all of R, R News is a volunteer project. The editorial board currently consists of the R core devel- Welcome to the first volume of R News, the newslet- opment team plus Bill Venables. We are very happy ter of the R project for statistical computing. R News that Bill—one of the authorities on programming the will feature short to medium length articles covering S language—has offered himself as editor of “Pro- topics that might be of interest to users or developers grammer’s Niche”, a regular column on R/S pro- of R, including gramming. This first volume already features a broad range Changes in R: new features of the latest release • of different articles, both from R core members and other developers in the R community (without Changes on CRAN: new add-on packages, • whom R would never have grown to what it is now). manuals, binary distributions, mirrors, . The success of R News critically depends on the ar- Add-on packages: short introductions to or re- ticles in it, hence we want to ask all of you to sub- • views of R extension packages mit to R News. There is no formal reviewing pro- cess yet, however articles will be reviewed by the ed- Programmer’s Niche: nifty hints for program- itorial board to ensure the quality of the newsletter. • ming in R (or S) Submissions should simply be sent to the editors by email, see the article on page 30 for details on how to Applications: Examples of analyzing data with • write articles. -
Kwame Nkrumah University of Science and Technology, Kumasi
KWAME NKRUMAH UNIVERSITY OF SCIENCE AND TECHNOLOGY, KUMASI, GHANA Assessing the Social Impacts of Illegal Gold Mining Activities at Dunkwa-On-Offin by Judith Selassie Garr (B.A, Social Science) A Thesis submitted to the Department of Building Technology, College of Art and Built Environment in partial fulfilment of the requirement for a degree of MASTER OF SCIENCE NOVEMBER, 2018 DECLARATION I hereby declare that this work is the result of my own original research and this thesis has neither in whole nor in part been prescribed by another degree elsewhere. References to other people’s work have been duly cited. STUDENT: JUDITH S. GARR (PG1150417) Signature: ........................................................... Date: .................................................................. Certified by SUPERVISOR: PROF. EDWARD BADU Signature: ........................................................... Date: ................................................................... Certified by THE HEAD OF DEPARTMENT: PROF. B. K. BAIDEN Signature: ........................................................... Date: ................................................................... i ABSTRACT Mining activities are undertaken in many parts of the world where mineral deposits are found. In developing nations such as Ghana, the activity is done both legally and illegally, often with very little or no supervision, hence much damage is done to the water bodies where the activities are carried out. This study sought to assess the social impacts of illegal gold mining activities at Dunkwa-On-Offin, the capital town of Upper Denkyira East Municipality in the Central Region of Ghana. The main objectives of the research are to identify factors that trigger illegal mining; to identify social effects of illegal gold mining activities on inhabitants of Dunkwa-on-Offin; and to suggest effective ways in curbing illegal mining activities. Based on the approach to data collection, this study adopts both the quantitative and qualitative approach. -
David Gwynne <[email protected]>
firewalling with OpenBSD's pf and pfsync David Gwynne <[email protected]> Thursday, 17 January 13 introduction ‣ who am i? ‣ what is openbsd? ‣ what are pf and pfsync? ‣ how do i use them? ‣ ask questions whenever you want Thursday, 17 January 13 who am i? ‣ infrastructure architect in EAIT at UQ ‣ i do stuff, including run the firewalls ‣ a core developer in openbsd ‣ i generally play with storage ‣ but i play with the network stack sometimes Thursday, 17 January 13 what is openbsd? ‣ open source general purpose unix-like operating system ‣ descended from the original UNIX by way of berkeley and netbsd ‣ aims for “portability, standardization, correctness, proactive security and integrated cryptography.” ‣ supports various architectures/platforms Thursday, 17 January 13 what is openbsd? ‣ one source tree for everything ‣ kernel, userland, doco ‣ bsd/isc/mit style licenses on all code (with some historical exceptions) ‣ 6 month dev cycle resulting in a release ‣ 3rd party software via a ports tree ‣ emergent focus on network services Thursday, 17 January 13 what is openbsd? ‣ it is very aggressive ‣ changes up and down the stack (compiler to kernel) to make a harsher, stricter, and less predictable runtime environment ‣ minimal or no backward compatibility as things move forward ‣ whole tree is checked for new bugs ‣ randomise as much as possible all over Thursday, 17 January 13 what is openbsd? ‣ it is extremely conservative ‣ tree must compile and work at all times ‣ big changes go in at the start of the cycle ‣ we’re not afraid to back stuff out ‣ peer review is necessary ‣ we do back away from some tweaks for the sake of usability Thursday, 17 January 13 what is pf? ‣ short for packet filter ‣ the successor to IP Filter (ipf) ‣ ipf was removed due to license issues ‣ the exec summary is that it is a stateful filter for IP (v4 and v6) traffic ‣ does a little bit more than that though.. -
In This Issue
SCASA: SOUTHERN CALIFORNIA CHA P- E-Tidings Newsletter TER OF THE AMERI- CAN STATISTICAL ASSOCIATION SCASA Events and News VOLUME 8, ISSUES 1 - 2 JANUARY - FEBRUARY 2019 In This Issue Page 2: New SCASA board Pages 3-4: Presidential address Page 5: Book Club Page 6: Online store Page 7: Statistics Poster competition Page 8: DataFest Page 9: Careers Day Page 10: Applied Statistics Workshop Page 11: Traveling course Page 12: Job Opening Announcement Page 13: Dr. Normalcurvesaurus, Ph.D. presents The answer is at the bottom of this issue. http://community.amstat.org/scasa/newsletters VOLUME 8, ISSUES 1 - 2 P A G E 2 SCASA Officers 2019-2020 : CONGRATULATIONS TO ALL ELECTED AND RE-ELECTED!!! We have the newly elected SCASA board!!! Congratulations to Everyone!!! President: James Joseph, AKAKIA [[email protected]] President-Elect: Rebecca Le, County of Riverside [[email protected]] Immediate Past President: Olga Korosteleva, CSULB [[email protected]] Treasurer: Olga Korosteleva, CSULB [[email protected]] Secretary: Michael Tsiang, UCLA [[email protected]] Vice President of Professional Affairs: Anna Liza Antonio, Enterprise Analytics [[email protected]] Vice President of Academic Affairs: Shujie Ma, UCR [[email protected]] Vice President for Student Affairs: Anna Yu Lee, APU and Claremont Graduate University [[email protected]] The ASA Council of Chapters Representative: Harold Dyck, CSUSB [[email protected]] ENewsletter Editor-in-Chief: Olga Korosteleva, CSULB [[email protected]] Chair of the Applied Statistics Workshop Committee: James Joseph, AKAKIA [[email protected]] Treasurer of the Applied Statistics Workshop: Rebecca Le, County of Riverside [[email protected]] Webmaster: Anthony Doan, CSULB [[email protected]] http://community.amstat.org/scasa/newsletters P A G E 3 VOLUME 8, ISSUES 1 - 2 “GROW STRONG” Presidential Address Southern California may be the most diverse job market in the United States, if not the world. -
STAT 3304/5304 Introduction to Statistical Computing
STAT 3304/5304 Introduction to Statistical Computing Statistical Packages Some Statistical Packages • BMDP • GLIM • HIL • JMP • LISREL • MATLAB • MINITAB 1 Some Statistical Packages • R • S-PLUS • SAS • SPSS • STATA • STATISTICA • STATXACT • . and many more 2 BMDP • BMDP is a comprehensive library of statistical routines from simple data description to advanced multivariate analysis, and is backed by extensive documentation. • Each individual BMDP sub-program is based on the most competitive algorithms available and has been rigorously field-tested. • BMDP has been known for the quality of it’s programs such as Survival Analysis, Logistic Regression, Time Series, ANOVA and many more. • The BMDP vendor was purchased by SPSS Inc. of Chicago in 1995. SPSS Inc. has stopped all develop- ment work on BMDP, choosing to incorporate some of its capabilities into other products, primarily SY- STAT, instead of providing further updates to the BMDP product. • BMDP is now developed by Statistical Solutions and the latest version (BMDP 2009) features a new mod- ern user-interface with all the statistical functionality of the classic program, running in the latest MS Win- dows environments. 3 LISREL • LISREL is software for confirmatory factor analysis and structural equation modeling. • LISREL is particularly designed to accommodate models that include latent variables, measurement errors in both dependent and independent variables, reciprocal causation, simultaneity, and interdependence. • Vendor information: Scientific Software International http://www.ssicentral.com/ 4 MATLAB • Matlab is an interactive, matrix-based language for technical computing, which allows easy implementation of statistical algorithms and numerical simulations. • Highlights of Matlab include the number of toolboxes (collections of programs to address specific sets of problems) available. -
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. -
Non-Inferiority, Superiority, Equivalence, and Two-Sided Tests Vs
NCSS Statistical Software NCSS.com Chapter 516 Two Proportions – Non-Inferiority, Superiority, Equivalence, and Two- Sided Tests vs. a Margin Introduction This chapter documents four closely related procedures: non-inferiority tests, superiority (by a margin) tests, equivalence tests, and two-sided tests versus a margin. These procedures compute both asymptotic and exact confidence intervals and hypothesis tests for the difference, ratio, and odds ratio of two proportions. Non-Inferiority Tests Non-inferiority tests are one-sided hypothesis tests in which the null and alternative hypotheses are arranged to test whether one group is almost as good (not much worse) than the other group. So, we might be interested in showing that a new, less-expensive method of treatment is no worse than the current method of treatment. Superiority Tests Superiority tests are one-sided hypothesis tests in which the null and alternative hypotheses are arranged to test whether one group is better than the other group by more than a stated margin. So, we might be interested in showing that a new method of treatment is better by more than a clinically insignificant amount. Equivalence Tests Equivalence tests are used to show conclusively that two methods (i.e. drugs) are equivalent. The conventional method of testing equivalence hypotheses is to perform two, one-sided tests (TOST) of hypotheses. The null hypothesis of non-equivalence is rejected in favor of the alternative hypothesis of equivalence if both one-sided tests are rejected. Unlike the common two-sided tests, however, the type I error rate is set directly at the nominal level (usually 0.05)—it is not split in half.