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The Little SAS® Book a Primer THIRD EDITION
The Little SAS® Book a primer THIRD EDITION Lora D. Delwiche and Susan J. Slaughter The correct bibliographic citation for this manual is as follows: Delwiche, Lora D. and Slaughter, Susan J., 2003. The Little SAS Book: A Primer, Third Edition. Cary, NC: SAS Institute Inc. The Little SAS Book: A Primer, Third Edition Copyright © 2003, SAS Institute Inc., Cary, NC, USA ISBN 1-59047-333-7 All rights reserved. Produced in the United States of America. 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, or otherwise, without the prior written permission of the publisher, SAS Institute Inc. U.S. Government Restricted Rights Notice: Use, duplication, or disclosure of this software and related documentation by the U.S. government is subject to the Agreement with SAS Institute and the restrictions set forth in FAR 52.227-19, Commercial Computer Software-Restricted Rights (June 1987). SAS Institute Inc., SAS Campus Drive, Cary, North Carolina 27513. 1st printing, November 2003 SAS Publishing provides a complete selection of books and electronic products to help customers use SAS software to its fullest potential. For more information about our e-books, e-learning products, CDs, and hard- copy books, visit the SAS Publishing Web site at support.sas.com/pubs or call 1-800-727-3228. SAS® and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. -
United States District Court Eastern District of Texas Marshall Division
Case 2:18-cv-00295-JRG Document 1 Filed 07/18/18 Page 1 of 65 PageID #: 1 UNITED STATES DISTRICT COURT EASTERN DISTRICT OF TEXAS MARSHALL DIVISION SAS INSTITUTE INC., Plaintiff, Civil Action No. _________________ vs. Jury Trial Demanded WORLD PROGRAMMING LIMITED, MINEQUEST BUSINESS ANALYTICS, LLC, MINEQUEST LLC, ANGOSS SOFTWARE CORPORATION, LUMINEX SOFTWARE, INC., YUM! BRANDS, INC., PIZZA HUT, INC., SHAW INDUSTRIES GROUP, INC., and HITACHI VANTARA CORPORATION, Defendants. ORIGINAL COMPLAINT Plaintiff SAS Institute Inc. (“SAS”) makes the following allegations against Defendants World Programming Limited (“WPL”), MineQuest Business Analytics, LLC and MineQuest, LLC (collectively, “MineQuest”), Angoss Software Corporation (“Angoss”), Luminex Software, Inc. (“Luminex”), Yum! Brands, Inc. (“Yum”), Pizza Hut, Inc. (“Pizza Hut”), Shaw Industries Group, Inc. (“Shaw”), and Hitachi Vantara Corporation (“Hitachi”), (collectively “Defendants”). SAS alleges that all Defendants are liable to SAS for copyright infringement of the SAS System and SAS Manuals, described below. SAS alleges that WPL, MineQuest, Angoss, and Luminex are liable to SAS for contributory and vicarious copyright infringement of the SAS System and SAS Manuals. SAS alleges that Defendants WPL, Angoss, Yum, and Pizza Hut are liable for infringement of U.S. Patent Nos. 7,170,519 (“the ’519 Patent”), 7,447,686 (“the ’686 Patent”), and 8,498,996 (“the ’996 Patent”) (collectively, the “Patents-in-Suit”). Case 2:18-cv-00295-JRG Document 1 Filed 07/18/18 Page 2 of 65 PageID #: 2 THE NATURE OF THE ACTION 1. This is an action for (a) copyright infringement arising out of Defendants’ willful infringement of various copyrighted SAS materials, and (b) the willful infringement of SAS’s Patents-in-Suit by WPL, Angoss, Yum, and Pizza Hut. -
SAS/QC® Software
TECHNICAL REPORT SAS/QC® Software: Changes and Enhancements, Release 8.2 The correct bibliographic citation for this manual is as follows: SAS Institute Inc., SAS/QC ® Software: Changes and Enhancements, Release 8.2, Cary, NC: SAS Institute Inc., 2001 SAS/QC ® Software: Changes and Enhancements, Release 8.2 Copyright Ó 2001 by SAS Institute Inc., Cary, NC, USA. ISBN 1-58025-868-9 All rights reserved. Printed in the United States of America. 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, or otherwise, without the prior written permission of the publisher, SAS Institute Inc. U.S. Government Restricted Rights Notice. Use, duplication, or disclosure of this software and related documentation by the U.S. government is subject to the Agreement with SAS Institute and the restrictions set forth in FAR 52.227-19 Commercial Computer Software-Restricted Rights (June 1987). SAS Institute Inc., SAS Campus Drive, Cary, North Carolina 27513. 1st printing, January 2001 SAS ® and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are registered trademarks or trademarks of their respective companies. Table of Contents Chapter1.TheCAPABILITYProcedure......................... 1 Chapter2.TheRELIABILITYProcedure........................ 17 Chapter3.TheSHEWHARTProcedure........................ -
Introduction to SAS
1 Introduction to SAS How to Get SAS® The University has a license agreement with SAS® for individual use for $35 a year. You can buy and download the software package at: https://software.ucdavis.edu/index.cfm. If you can have the software installed on your laptop and bring it with you to the seminar, we can work through the examples and exercises together. SAS will run in Windows® Vista, 7, 8, and 10, and on UNIX. To run SAS on a Mac® you can run SAS University, which is a limited version that is free and runs virtually on OS X http://www.sas.com/en_us/software/university-edition/download-software.html#os-x or you will need to log in remotely to a Windows or UNIX system or use a desktop virtualization program such as Parallels®. Your department can purchase a license for Parallels® using the link above for a discount. You can get a free 14 day trial of Parallels at: http://trial.parallels.com/?lang=en&terr=us. What is SAS®? SAS is an integrated software system that enables you to perform a variety of tasks. For the purposes of this seminar series, we will be focusing on: 1) Data entry, retrieval, and management 2) Tables and graphics 3) Statistical analysis For this session held on Sept 14 and 21 we will mainly discuss (1) and (2) as a start. The future seminars will discuss (3) in detail in the context of statistical analysis methods covered. SAS stands for Statistical Analysis Software, but now we just use SAS as the registered trademark for the software package. -
Used.Html#Sbm Mv
http://www.kdnuggets.com/2015/05/poll-analytics-data-mining-data-science-software- used.html#sbm_mv Vote in KDnuggets 16th Annual Poll: What Analytics, Data Mining, Data Science software/tools you used in the past 12 months for a real project?. We will clean and analyze the results and publish our trend analysis afterward What Analytics, Data Mining, Data Science software/tools you used in the past 12 months for a real project (not just evaluation)? 4 categories: Platforms, Languages, Deep Learning, Hadoop. Analytics / Data Mining Platforms / Suites: Actian Alpine Data Labs Alteryx Angoss Amazon Machine Learning Ayasdi BayesiaLab BigML Birst C4.5/C5.0/See5 Datameer Dataiku Dato (former Graphlab) Dell (including Statistica) FICO Model Builder Gnu Octave GoodData H2O (0xdata) IBM Cognos IBM SPSS Modeler IBM SPSS Statistics IBM Watson Analytics JMP KNIME Lavastorm Lexalytics MATLAB Mathematica Megaputer Polyanalyst/TextAnalyst MetaMind Microsoft Azure ML Microsoft SQL Server Microsoft Power BI MicroStrategy Miner3D Ontotext Oracle Data Miner Orange Pentaho Predixion Software QlikView RapidInsight/Veera RapidMiner Rattle Revolution Analytics (now part of Microsoft) SAP (including former KXEN) SAS Enterprise Miner Salford SPM/CART/Random Forests/MARS/TreeNet scikit-learn Skytree SiSense Splunk/ Hunk Stata TIBCO Spotfire Tableau Vowpal Wabbit Weka WordStat XLSTAT for Excel Zementis Other free analytics/data mining tools Other paid analytics/data mining/data science software Languages / low-level tools: C/C++ Clojure Excel F# Java Julia Lisp Perl Python R Ruby SAS base SQL Scala Unix shell/awk/gawk WPS: World Programming System Other programming languages Deep Learning tools Caffe Cuda-convnet Deeplearning4j Torch Theano Pylearn2 Other Deep Learning tools Hadoop-based Analytics-related tools Hadoop HBase Hive Pig Spark Mahout MLlib SQL on Hadoop tools Other Hadoop/HDFS-based tools. -
Der Grüne Bote
GB – Der Grüne Bote ZEITSCHRIFT FÜR LAUTERKEITSRECHT UND GEISTIGES EIGENTUM http://www.gb-online.eu 1/2012 Aus dem Inhalt • Nikolas Lazaridis, Die Auswirkung von Design-Auszeich- nungen auf die Schutzfähigkeit und Schutzwirkung von Mustern • Ivo Levalter, „Made in Germany“ – Anmerkung zu OLG Düsseldorf, Urt. v. 5. 4. 2011 – I-20 U 110/11 Herausgeber: Prof. Dr. Volker Michael Jänich Prof. Dr. Paul T. Schrader, LL.M.oec. Dr. Jan Eichelberger, LL.M.oec. Ständige Mitarbeiter: Carsten Johne ▪ Stephan Kunze ▪ Tina Mende ▪ Franziska Schröter ▪ Tobias Schmidt VORWORT Liebe Leserinnen und Leser, bei der Wahl der Weihnachtsgeschenke sind häufig zwei Fragen ausschlaggebend: Kann der Beschenkte das Geschenk gebrau- chen? Gefällt das Geschenk dem Beschenkten? Diese Fragen be- treffen bei körperlichen Geschenken den Gebrauchszweck und die Ästhetik der Gestaltungsform. Beides kann unter dem Begriff „De- sign“ zusammengefasst werden. Das Geschmacksmuster bietet für die äußere Gestaltungsform ein geeignetes Schutzinstrument. Aus der Sicht des Produktentwerfers ist das Design für den Markterfolg von hoher Bedeutung. Die Entscheidung des Verbrauchers orien- tiert sich jedoch häufig nicht allein am Design, sondern auch an Auszeichnungen, die für das Design erteilt wurden. Den Zusam- menhang zwischen dem Geschmacksmusterschutz und den Designauszeichnungen unter- sucht Lazaridis in seinem Beitrag in dieser Ausgabe des GB. Ergänzend sei darauf verwie- sen, dass auch in anderem Zusammenhang Auszeichnungen und Preise in der aktuellen Rechtsprechung an Bedeutung gewinnen: In einer urheberrechtlichen Fallkonstellation wurde auf erteilte Auszeichnungen für ein Kletterzelt verwiesen, um aus der Preisverlei- hung ein Indiz für das Vorliegen der notwendigen urheberrechtlichen Gestaltungshöhe abzuleiten (BGH, Urt. v. 12. Mai 2011 – I ZR 53/10 (Tz. -
SAS 9.4 Language Reference: Concepts, Sixth Edition
SAS® 9.4 Language Reference: Concepts, Sixth Edition SAS® Documentation November 4, 2019 The correct bibliographic citation for this manual is as follows: SAS Institute Inc. 2016. SAS® 9.4 Language Reference: Concepts, Sixth Edition. Cary, NC: SAS Institute Inc. SAS® 9.4 Language Reference: Concepts, Sixth Edition Copyright © 2016, SAS Institute Inc., Cary, NC, USA ISBN 978-1-62960-821-1 (Paperback) ISBN 978-1-62960-822-8 (PDF) All Rights Reserved. Produced in the United States of America. For a hard copy book: 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, or otherwise, without the prior written permission of the publisher, SAS Institute Inc. For a web download or e-book: Your use of this publication shall be governed by the terms established by the vendor at the time you acquire this publication. The scanning, uploading, and distribution of this book via the Internet or any other means without the permission of the publisher is illegal and punishable by law. Please purchase only authorized electronic editions and do not participate in or encourage electronic piracy of copyrighted materials. Your support of others' rights is appreciated. U.S. Government License Rights; Restricted Rights: The Software and its documentation is commercial computer software developed at private expense and is provided with RESTRICTED RIGHTS to the United States Government. Use, duplication, or disclosure of the Software by the United States Government is subject to the license terms of this Agreement pursuant to, as applicable, FAR 12.212, DFAR 227.7202-1(a), DFAR 227.7202-3(a), and DFAR 227.7202-4, and, to the extent required under U.S. -
Company-Overview-Annual-Report.Pdf
2020-2021 corporate NEW DAY. NEW ANSWERS. overview INSPIRED BY CURIOSITY. It’s hard to conceive that for more than a year the COVID-19 pandemic has wreaked havoc around the world. Like most companies in the digital era, we’ve also taken steps to transform who we are and how we contribute Many of us have never lived through anything like the coronavirus, nor such an incredible amount of disruption to our customers’ success. Even in the most difficult economic times, we’ve maintained that spirit of innova- in our daily lives. From something as simple as taking a walk in the park or hosting a birthday party to broader tion, constantly reimagining how analytics can improve the world. Last year, we continued to deliver on our decisions like canceling large gatherings or working remotely, the way we make decisions vastly shifted. We are promise of a $1 billion investment into advancing AI technology, education and services. A significant part of reconsidering every decision and re-evaluating every necessity. Actions that were once subconscious instinctive our annual revenue is reinvested into R&D to optimize the analytics life cycle for our customers. behavior are now calculated, cautious equations. But our innovation does not stop within our own technology boundaries. We’ve adapted to the demand The same applies to business. Many of the insights that once drove critical business decisions no longer apply for analytics in the cloud by reimagining how we collaborate and integrate complementary technologies. as organizations adapt to an ever-changing new normal – including disruptions in critical supply chains, medical Last year, we acquired Boemska, whose technology will allow us to lower customer cost consumption in supply shortages and workforce constraints. -
The Virtues of Open Source by David Januszewski
Article from: Actuary of the Future April 2013 – Issue 34 The Virtues of Open Source By David Januszewski hat do a statistical programming language, natural to a programmer as breathing, and as produc- a mathematical typesetting system, and a tive. It ought to be as free.”1 W multi-paradigm computer programming lan- guage have in common? Answer: They are all licensed As for statistical programming languages, it seems that under the GPL. R has made real advancement beyond academia and into the corporate world in recent years. R has caught up to its The sources of R, LaTeX and Python are made available commercial counterpart, the Statistical Analysis System to everyone and they are completely free. These lan- (SAS). Both appear to be equally used in business intelli- David Januszewski, guages are licensed under the GNU’s Not Unix (GNU) gence, data mining, research and many other areas (both ASA, M.Sc., is an General Public License (GPL)—a very special license hover around the 23rd to 25th most popular programming actuarial and Base SAS Certified sta- that has created a community adherent to the open source language as ranked on TIOBE.com). tistics professional philosophy—one that prides itself in making resources based in Toronto, available to beginners. Dr. Vincent Goulet from the University of Laval has Canada. He can be made an interesting actuarial package called “actuar” reached by email at The open source community has been gaining accep- on the Comprehensive R Archive Network (CRAN). dave.januszewski@ tance across many businesses and fields of study. If However it seems that there are not too many other gmail.com or from we take a quick look at TIOBE.com, the website of a packages with actuarial models and functions on the his LinkedIn CRAN network. -
Numerical Analysis, Modelling and Simulation
Numerical Analysis, Modelling and Simulation Griffin Cook Numerical Analysis, Modelling and Simulation Numerical Analysis, Modelling and Simulation Edited by Griffin Cook Numerical Analysis, Modelling and Simulation Edited by Griffin Cook ISBN: 978-1-9789-1530-5 © 2018 Library Press Published by Library Press, 5 Penn Plaza, 19th Floor, New York, NY 10001, USA Cataloging-in-Publication Data Numerical analysis, modelling and simulation / edited by Griffin Cook. p. cm. Includes bibliographical references and index. ISBN 978-1-9789-1530-5 1. Numerical analysis. 2. Mathematical models. 3. Simulation methods. I. Cook, Griffin. QA297 .N86 2018 518--dc23 This book contains information obtained from authentic and highly regarded sources. All chapters are published with permission under the Creative Commons Attribution Share Alike License or equivalent. A wide variety of references are listed. Permissions and sources are indicated; for detailed attributions, please refer to the permissions page. Reasonable efforts have been made to publish reliable data and information, but the authors, editors and publisher cannot assume any responsibility for the validity of all materials or the consequences of their use. Copyright of this ebook is with Library Press, rights acquired from the original print publisher, Larsen and Keller Education. Trademark Notice: All trademarks used herein are the property of their respective owners. The use of any trademark in this text does not vest in the author or publisher any trademark ownership rights in such trademarks, nor does the use of such trademarks imply any affiliation with or endorsement of this book by such owners. The publisher’s policy is to use permanent paper from mills that operate a sustainable forestry policy. -
SAS® Workshop
SAS® Workshop Manitoba Centre for Health Policy University of Manitoba Input and Development by: Charles Burchill, Heather Prior, Wendy Au, Jen Bodnarchuk, Randy Walld Shelley Derksen, Jill MacGregor, Ruth-Ann Soodeen, and Ruth Bond September 2018 - 1 - - 2 - Table of Contents Outline ..................................................................................................................................................................................................... 5 Resource Books ................................................................................................................................................................................. 6 CD Content ........................................................................................................................................................................................ 6 SAS University Edition ..................................................................................................................................................................... 6 Full Version of SAS (UofM Students and Staff only)........................................................................................................................ 6 Data Use Agreement................................................................................................................................................................................ 8 Overview ................................................................................................................................................................................................ -
The Distribution of Teacher Value Added in North Carolina
Consortium for Educational Research and Evaluation– North Carolina The Distribution of Teacher Value Added in North Carolina Douglas L. Lauen, Gary T. Henry, Roderick A. Rose, and Karen Phelan Kozlowski Carolina Institute for Public Policy, UNC-CH December 2013 The Distribution of Teacher Value Added in North Carolina December 2013 Table of Contents Executive Summary ........................................................................................................................ 2 Introduction: Teacher Quality and North Carolina’s Race to the Top Initiative ............................ 5 Background and Purpose ................................................................................................................ 7 Overview of Race to the Top-Funded Educator Distribution Initiatives .................................... 7 Overview and Purpose of the Study of the Equitable Distribution of and Access to Effective Teachers in North Carolina ......................................................................................................... 8 Data, Sample, Measures, and Analytical Techniques ..................................................................... 9 Data and Sample ......................................................................................................................... 9 The Teacher Value-Added Model .............................................................................................. 9 Analytical Techniques .............................................................................................................