...The terms "statistical analysis" and "data analysis" can be said to mean the same thing -- the study of how we describe, combine, and make inferences based on numbers. A lot of people are scared of numbers (quantiphobia), but data analysis with statistics has got less to do with numbers, and more to do with rules for arranging them. It even lets you create some of those rules yourself, so instead of looking at it like a lot of memorization, it's best to see it as an extension of the research mentality, something researchers do anyway (i.e., play with or crunch numbers). Once you realize that YOU have complete and total power over how you want to arrange numbers, your fear of them will disappear. It helps, of course, if you know some basic algebra and arithmetic, at a level where you might be comfortable solving the following equation There are three (3) general areas that make up the field of statistics: descriptive statistics, relational statistics, and inferential statistics. 1. Descriptive statistics fall into one of two categories: measures of central tendency (mean, median, and mode) or measures of dispersion (standard deviation and variance). Their purpose is to explore hunches that may have come up during the course of the research process, but most people compute them to look at the normality of their numbers. Examples include descriptive analysis of sex, age, race, social class, and so forth. 2. Relationalstatistics fall into one of three categories: univariate,...
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...Data Mining Practical Machine Learning Tools and Techniques The Morgan Kaufmann Series in Data Management Systems Series Editor: Jim Gray, Microsoft Research Data Mining: Practical Machine Learning Tools and Techniques, Second Edition Ian H. Witten and Eibe Frank Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration Earl Cox Data Modeling Essentials, Third Edition Graeme C. Simsion and Graham C. Witt Location-Based Services Jochen Schiller and Agnès Voisard Database Modeling with Microsoft® Visio for Enterprise Architects Terry Halpin, Ken Evans, Patrick Hallock, and Bill Maclean Designing Data-Intensive Web Applications Stefano Ceri, Piero Fraternali, Aldo Bongio, Marco Brambilla, Sara Comai, and Maristella Matera Mining the Web: Discovering Knowledge from Hypertext Data Soumen Chakrabarti Understanding SQL and Java Together: A Guide to SQLJ, JDBC, and Related Technologies Jim Melton and Andrew Eisenberg Database: Principles, Programming, and Performance, Second Edition Patrick O’Neil and Elizabeth O’Neil The Object Data Standard: ODMG 3.0 Edited by R. G. G. Cattell, Douglas K. Barry, Mark Berler, Jeff Eastman, David Jordan, Craig Russell, Olaf Schadow, Torsten Stanienda, and Fernando Velez Data on the Web: From Relations to Semistructured Data and XML Serge Abiteboul, Peter Buneman, and Dan Suciu Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations Ian H. Witten and Eibe Frank ...
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...Six Sigma is a set of tools and techniques/strategies for process improvement originally developed by Motorola in 1981.[1][2] Six Sigma became well known after Jack Welch made it a central focus of his business strategy at General Electric in 1995,[3] and today it is used in different sectors of industry.[4] Six Sigma seeks to improve the quality of process outputs by identifying and removing the causes of defects (errors) and minimizing variability in manufacturing and business processes.[5] It uses a set of quality management methods, including statistical methods, and creates a special infrastructure of people within the organization ("Champions", "Black Belts", "Green Belts", "Yellow Belts", etc.) who are experts in the methods.[5] Each Six Sigma project carried out within an organization follows a defined sequence of steps and has quantified value targets, for example; process cycle time reduction, customer satisfaction, reduction in pollution, cost reduction and/or profit increase.[5] The term Six Sigma originated from terminology associated with manufacturing, specifically terms associated with statistical modeling of manufacturing processes. The maturity of a manufacturing process can be described by a sigma rating indicating its yield or the percentage of defect-free products it creates. A six sigma process is one in which 99.99966% of the products manufactured are statistically expected to be free of defects (3.4 defects per million), although, as discussed below...
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...Data Mining Third Edition This page intentionally left blank Data Mining Practical Machine Learning Tools and Techniques Third Edition Ian H. Witten Eibe Frank Mark A. Hall AMSTERDAM • BOSTON • HEIDELBERG • LONDON NEW YORK • OXFORD • PARIS • SAN DIEGO SAN FRANCISCO • SINGAPORE • SYDNEY • TOKYO Morgan Kaufmann Publishers is an imprint of Elsevier Morgan Kaufmann Publishers is an imprint of Elsevier 30 Corporate Drive, Suite 400, Burlington, MA 01803, USA This book is printed on acid-free paper. Copyright © 2011 Elsevier Inc. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher. Details on how to seek permission, further information about the Publisher’s permissions policies and our arrangements with organizations such as the Copyright Clearance Center and the Copyright Licensing Agency, can be found at our website: www.elsevier.com/permissions. This book and the individual contributions contained in it are protected under copyright by the Publisher (other than as may be noted herein). Notices Knowledge and best practice in this field are constantly changing. As new research and experience broaden our understanding, changes in research methods, professional practices, or medical treatment may become necessary. Practitioners and researchers must...
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...Probability & Statistics for Engineers & Scientists This page intentionally left blank Probability & Statistics for Engineers & Scientists NINTH EDITION Ronald E. Walpole Roanoke College Raymond H. Myers Virginia Tech Sharon L. Myers Radford University Keying Ye University of Texas at San Antonio Prentice Hall Editor in Chief: Deirdre Lynch Acquisitions Editor: Christopher Cummings Executive Content Editor: Christine O’Brien Associate Editor: Christina Lepre Senior Managing Editor: Karen Wernholm Senior Production Project Manager: Tracy Patruno Design Manager: Andrea Nix Cover Designer: Heather Scott Digital Assets Manager: Marianne Groth Associate Media Producer: Vicki Dreyfus Marketing Manager: Alex Gay Marketing Assistant: Kathleen DeChavez Senior Author Support/Technology Specialist: Joe Vetere Rights and Permissions Advisor: Michael Joyce Senior Manufacturing Buyer: Carol Melville Production Coordination: Lifland et al. Bookmakers Composition: Keying Ye Cover photo: Marjory Dressler/Dressler Photo-Graphics 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 Pearson was aware of a trademark claim, the designations have been printed in initial caps or all caps. Library of Congress Cataloging-in-Publication Data Probability & statistics for engineers & scientists/Ronald E. Walpole . . . [et al.] — 9th ed. p. cm. ISBN 978-0-321-62911-1...
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...POLICE PROBLEMS: THE COMPLEXITY OF PROBLEM THEORY, RESEARCH AND EVALUATION by John Eck University of Cincinnati Abstract: Advancement of problem-oriented policing has been stymied by over-attention to police organizations and under-attention to police problems. This paper develops a research agenda for understanding police problems by addressing four fundamental questions: What are problems? What causes problems? How can we find effective solutions to problems? And how can we learn from problem solving? For each question a possible direction for theory, research, or evaluation is suggested. The variety of police problems, their non-linear feedback systems, the diversity of responses that can be applied to problems, and the difficulty of learning from problem-solving experiences highlight the complexity of police problems. The paper closes with a list of research questions designed to improve the science and practice of problem analysis and solution. WHAT IS THE PROBLEM WITH POLICE RESEARCH? Problem-oriented policing has become the victim of the disease it was meant to cure, the "means over ends syndrome." Symptoms of this disease include studies examining the internal workings of police organizations implementing problem-oriented policing, confusing problem-oriented policing with community policing, and generally failing to recognize that a new approach to policing requires a different approach to research. Though the number of police agencies applying problem solving...
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...Implementation Guide for the Use of Bar Code Technology in Healthcare Sponsored by Implementation Guide for the Use of Bar Code Technology in Healthcare © 2003 HIMSS 230 E. Ohio St., Suite 500 Chicago, IL 60611 All rights reserved. No part of this publication may be reproduced, adapted, translated, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the publisher. HIBCC ® and HIN® System are trademarks of the Health Industry Business Communications Council. ISBN: 0-9725371-2-0 Table of Contents Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .v Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .vii Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .xi Chapter 1: The Basics What is a bar code? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .1 How can you benefit from bar coding? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
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...transport Tuesday, 1 January, 2013 2:29 PM Transportation and Economic Development Authors: Dr. Jean-Paul Rodrigue and Dr. Theo Notteboom1. The Economic Importance of Transportation Like many economic activities that are intensive in infrastructures, the transport sector is an important component of the economy impacting on development and the welfare of populations. When transport systems are efficient, they provide economic and social opportunities and benefits that result in positive multipliers effects such as better accessibility to markets, employment and additional investments. When transport systems are deficient in terms of capacity or reliability, they can have an economic cost such as reduced or missed opportunities. Efficient transportation reduces costs, while inefficient transportation increases costs. The impacts of transportation are not always intended, and can have unforeseen or unintended consequences such as congestion. Transport also carries an important social and environmental load, which cannot be neglected.The added value and employment effects of transport services usually extend beyond employment and added value generated by that activity; indirect effects are salient. For instance, transportation companies purchase a part of their inputs from local suppliers. The production of these inputs generates additional value-added and employment in the local economy. The suppliers in turn purchase goods and services from other local firms. There are further...
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...COST AND VALUE MANAGEMENT IN PROJECTS Ray R. Venkataraman and Jeffrey K. Pinto John Wiley & Sons, Inc. This book is printed on acid-free paper. Copyright 2008 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 978-646-8600, 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, or online at http://www.wiley.com/go/permissions. Limit of Liability/Disclaimer of Warranty: While the publisher and author have used their best efforts in preparing this book, they make no representations or warranties with respect to the accuracy or completeness of the contents of this book and specifically disclaim any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created...
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...TOPIC RELATIONSHIP BETWEEN JOB PERFORMANCE AND ABILITY JOB FIT TABLE OF CONTENTS • Abstract • Introduction • Problem statement • Literature review • Theoretical framework • Hypothesis • Research design • Research techniques • Data collections methods • Questionnaire • Data Analysis • Conclusions • Recommendation ABSTRACT Purpose of this report was to investigate the relationship between job performance and the ability job fit of the employees of a business organization. Definitively this is an investigation of all correlations between job efficiency with due linkage to the required job ability in any working sphere of the professional status quo. The dependent variable in the study is job performance and the independent variable is the Ability Job Fit i.e. the match between an employee’s ability and the requirement of his job. Our data collection method is unstructured interview and questionnaire. A sample of 10 people was chosen for the study by non-probability convenient sampling method. The sample includes 5 employees of both multinational as well as local companies. The result shows that a high ability job fit is the most important factor behind an employee’s job performance and thus contributes to the field of organization behavior. Thus I found out in my study...
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...continuous process Content Map 1.1 1.2 Introduction Concept of Managerial Economics 1.2.1 Meaning of Managerial Economics 1.2.2 Definitions of Managerial Economics Managerial Economics 1 1.2.3 Characteristics of Managerial Economics 1.2.4 Scope of Managerial Economics 1.2.5 Why Managers Need to Know Economics? 1.3 1.4 Techniques of Managerial Economics Managerial Economics - Its application in Marginal Analysis and Optimisation 1.4.1 1.4.2 1.5 1.6 1.7 Application of Managerial Economics Tools of Decision Science and Managerial Economics Summary Self Assessment Test Further Reading 2 Managerial Economics 1.1 Introduction Managerial decisions are an important cog in the working wheel of an organisation. The success or failure of a business is contingent upon the decisions taken by managers. Increasing complexity in the business world has spewed forth greater challenges for managers. Today, no business decision is bereft of influences from areas other than the economy. Decisions pertinent to production and...
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...highly effective management model or paradigm that has come to be known as Compstat was first developed within the New York Police Department in 1994 as a process for managing crime and quality of life in New York City. Compstat was developed in response to a very specific set of immediate needs confronting the NYPD at that time: the compelling need to bring spiralling rates of crime and disorder to within manageable bounds and to refocus the NYPD on its primary mission of effectively ensuring public safety by reducing crime and violence. Since its introduction in early 1994, Compstat has proven to be highly effective in achieving the goals for which it was initially intended. Over time it has also evolved and grown from a basic and fairly rudimentary process involving the collection and analysis of crime data as well as a mechanism for ensuring accountability and information-sharing into a more complex, more nuanced, and eminently more effective management paradigm. As Compstat grew and changed over time, so too did the issues and problems challenging the NYPD. As crime and public disorder offences declined to within more manageable limits, the agency had the luxury of turning its attention to a range of other management problems and issues. While reducing crime and disorder and increasing public safety have never lost their prominence or their importance on the NYPD’s set of post-1994 priorities, the relative ease with which Compstat has permitted the agency to fulfil its primary...
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...Digital Image Processing Second Edition Rafael C. Gonzalez University of Tennessee Richard E. Woods MedData Interactive Prentice Hall Upper Saddle River, New Jersey 07458 Library of Congress Cataloging-in-Pubblication Data Gonzalez, Rafael C. Digital Image Processing / Richard E. Woods p. cm. Includes bibliographical references ISBN 0-201-18075-8 1. Digital Imaging. 2. Digital Techniques. I. Title. TA1632.G66 621.3—dc21 2001 2001035846 CIP Vice-President and Editorial Director, ECS: Marcia J. Horton Publisher: Tom Robbins Associate Editor: Alice Dworkin Editorial Assistant: Jody McDonnell Vice President and Director of Production and Manufacturing, ESM: David W. Riccardi Executive Managing Editor: Vince O’Brien Managing Editor: David A. George Production Editor: Rose Kernan Composition: Prepare, Inc. Director of Creative Services: Paul Belfanti Creative Director: Carole Anson Art Director and Cover Designer: Heather Scott Art Editor: Greg Dulles Manufacturing Manager: Trudy Pisciotti Manufacturing Buyer: Lisa McDowell Senior Marketing Manager: Jennie Burger © 2002 by Prentice-Hall, Inc. Upper Saddle River, New Jersey 07458 All rights reserved. No part of this book may be reproduced, in any form or by any means, without permission in writing from the publisher. The author and publisher of this book have used their best efforts in preparing this book. These efforts include the development, research, and testing of the theories and programs to determine their effectiveness...
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...The Six Sigma Handbook Revised and Expanded A Complete Guide for Green Belts, Black Belts, and Managers at All Levels THOMAS PYZDEK McGraw-Hill New York Chicago San Francisco Lisbon London Madrid Mexico City Milan New Delhi San Juan Seoul Singapore Sydney Toronto Copyright © 2003 by The McGraw-HIll Companies, Inc. All rights reserved. Manufactured in the United States of America. Except as permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the prior written permission of the publisher. 0-07-141596-3 The material in this eBook also appears in the print version of this title: 0-07-141015-5. All trademarks are trademarks of their respective owners. Rather than put a trademark symbol after every occurrence of a trademarked name, we use names in an editorial fashion only, and to the benefit of the trademark owner, with no intention of infringement of the trademark. Where such designations appear in this book, they have been printed with initial caps. McGraw-Hill eBooks are available at special quantity discounts to use as premiums and sales promotions, or for use in corporate training programs. For more information, please contact George Hoare, Special Sales, at george_hoare@mcgraw-hill.com or (212) 904-4069. TERMS OF USE This is a copyrighted work and The McGraw-Hill Companies, Inc. (“McGraw-Hill”) and its licensors reserve all...
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...ABSTRACT Barcode License Plate Recognition (BLPR) is a system capable of recognising number plates by scanning their barcodes for various different uses. A sophisticated barcode reader and algorithm converts the barcodes, into identifiable data. This allows the capture of critical information such as the registration of every vehicle entering a site or crossing the red light at traffics. This information can be passed to the police to assist in the pursuit and identification of contraventions. Visual proof of traffic contraventions with the corresponding time and date information can be provided as evidence and to avoid disputes. Using information supplied by the Driver Vehicle Licensing Authority (DVLA), because of our approved operator status, it is possible to identify the registered keeper of a vehicle and process the contravention automatically. The BLPR is to help eradicate road accidents on our roads which has become a headache to the government since all efforts are proving futile. It is been developed with Visual Basic.Net and Structured Query Language(SQL) Server using the Waterfall model. All data gathered by the BLPR system is stored in a database for future analysis and reporting. This project will provide an efficient way of combating crime and making the work of the MTTU easier. ACKNOWLEDGEMENT Our greatest and foremost thanks goes to God the Almighty Father. To Him be the glory for the great things he has done. It is just by His grace and guidance that...
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