Engineering Statistics Demystified

Engineering Statistics Demystified
Author: Larry J. Stephens
Publisher: McGraw Hill Professional
Total Pages: 457
Release: 2007-01-03
Genre: Mathematics
ISBN: 0071462724

The Software available for statistics are: EXCEL, MINITAB, SAS, SPSS and STATISTIX, and MAPLE for mathemathics.

Engineering Statistics Demystified

Engineering Statistics Demystified
Author: Larry J. Stephens
Publisher: McGraw Hill Professional
Total Pages: 458
Release: 2007-01-03
Genre: Technology & Engineering
ISBN: 0071710892

United States audience includes 120,000-plus engineering students and 60,000-plus science majors who are required to take a calculus-based statistics course Includes examples from MINITAB, EXCEL, STATISTIXS, SAS, SPSS, and MAPLE statistical software programs

Statistics DeMYSTiFieD, 2nd Edition

Statistics DeMYSTiFieD, 2nd Edition
Author: Stan Gibilisco
Publisher: McGraw Hill Professional
Total Pages: 395
Release: 2011-05-13
Genre: Technology & Engineering
ISBN: 0071751327

MULTIPLY your chances of learning STATISTICS Trying to understand statistics but feeling a bit uncertain? Here's your solution. Statistics Demystifed, Second Edition helps you master this fundamental topic with ease. Written in a step-by-step format, this practical guide begins by reviewing background mathematics, probability basics, and descriptive measures. The book goes on to demonstrate statistics in action with coverage of sampling, estimation, hypotheses, prediction, regression, correlation, causation, order, and chaos. Detailed examples, concise explanations, and worked-out problems make it easy to understand the material, and end-of-chapter quizzes and a final exam help reinforce learning. It's a no-brainer! You'll learn about: The probability fallacy Random sampling Estimation Assumptions and testing Chaos, bounds, and randomness Variance and standard deviation Correlation and cause/effect relations The use of statistics in medicine, law, math, and engineering Simple enough for a beginner, but challenging enough for an advanced student, Statistics Demystified, Second Edition helps you master this essential subject.

Digital Signal Processing Demystified

Digital Signal Processing Demystified
Author: James D. Broesch
Publisher: Elsevier
Total Pages: 233
Release: 2000-02-20
Genre: Technology & Engineering
ISBN: 0080504493

James D. Broesch is a staff engineer for General Atomics, where he is responsible for the design and development of several advanced control systems used on fusion control programs. He also teaches classes in signal processing and hardware design at the University of California-San Diego.·Integrated book/software package allows readers to simulate digital signal processing (DSP) situations and experiment with effects of different DSP techniques.·Gives an applications-oriented approach to DSP instead of a purely mathematical one.·The accompanying CD includes a DSP "calculator" to help solve design problems

Statistical Turbulence Modelling For Fluid Dynamics - Demystified: An Introductory Text For Graduate Engineering Students

Statistical Turbulence Modelling For Fluid Dynamics - Demystified: An Introductory Text For Graduate Engineering Students
Author: Michael Leschziner
Publisher: World Scientific
Total Pages: 424
Release: 2015-08-20
Genre: Science
ISBN: 1783266635

This book is intended for self-study or as a companion of lectures delivered to post-graduate students on the subject of the computational prediction of complex turbulent flows. There are several books in the extensive literature on turbulence that deal, in statistical terms, with the phenomenon itself, as well its many manifestations in the context of fluid dynamics. Statistical Turbulence Modelling for Fluid Dynamics — Demystified differs from these and focuses on the physical interpretation of a broad range of mathematical models used to represent the time-averaged effects of turbulence in computational prediction schemes for fluid flow and related transport processes in engineering and the natural environment. It dispenses with complex mathematical manipulations and instead gives physical and phenomenological explanations. This approach allows students to gain a 'feel' for the physical fabric represented by the mathematical structure that describes the effects of turbulence and the models embedded in most of the software currently used in practical fluid-flow predictions, thus counteracting the ill-informed black-box approach to turbulence modelling. This is done by taking readers through the physical arguments underpinning exact concepts, the rationale of approximations of processes that cannot be retained in their exact form, and essential calibration steps to which the resulting models are subjected by reference to theoretically established behaviour of, and experimental data for, key canonical flows.

Video Demystified

Video Demystified
Author: Keith Jack
Publisher: Newnes
Total Pages: 954
Release: 2005
Genre: Business & Economics
ISBN: 0750678224

This international bestseller and essential reference is the "bible" for digital video engineers and programmers worldwide. This is by far the most informative analog and digital video reference available, includes the hottest new trends and cutting-edge developments in the field.Video Demystified, Fourth Edition is a "one stop" reference guide for the various digital video technologies. The fourth edition is completely updated with all new chapters on MPEG-4, H.264, SDTV/HDTV, ATSC/DVB, and Streaming Video (Video over DSL, Ethernet, etc.), as well as discussions of the latest standards throughout. The accompanying CD-ROM is updated to include a unique set of video test files in the newest formats.

Systems Engineering Demystified

Systems Engineering Demystified
Author: Jon Holt
Publisher: Packt Publishing Ltd
Total Pages: 468
Release: 2021-01-29
Genre: Computers
ISBN: 1838985441

Get to grips with systems engineering life cycles, processes, and best practices and discover techniques to successfully develop complex systems Key Features Discover how to manage increased complexity and understand systems better via effective communication Adopt a proven model-based approach for systems engineering in your organization Apply proven techniques for requirements, design, validation and verification, and systems engineering management Book DescriptionSystems engineering helps us to understand, specify, and develop complex systems, and is applied across a wide set of disciplines. As systems and their associated problems become increasingly complex in this evermore connected world, the need for more rigorous, demonstrable, and repeatable techniques also increases. Written by Professor Jon Holt – an internationally recognized systems engineering expert – this book provides a blend of technical and business aspects you need to understand in order to develop successful systems. You'll start with systems engineering basics and understand the complexity, communication, and different stakeholders' views of the system. The book then covers essential aspects of model-based systems engineering, systems, life cycles, and processes, along with techniques to develop systems. Moving on, you'll explore system models and visualization techniques, focusing on the SysML, and discover how solutions can be defined by developing effective system design, verification, and validation techniques. The book concludes by taking you through key management processes and systems engineering best practices and guidelines. By the end of this systems engineering book, you'll be able to confidently apply modern model-based systems engineering techniques to your own systems and projects.What you will learn Understand the three evils of systems engineering - complexity, ambiguous communication, and lack of understanding Realize successful systems using model-based systems engineering Understand the concept of life cycles and how they control the evolution of a system Explore processes and related concepts such as activities, stakeholders, and resources Discover how needs fit into the systems life cycle and which processes are relevant and how to comply with them Find out how design, verification, and validation fit into the life cycle and processes Who this book is for This book is for aspiring systems engineers, engineering managers, or anyone looking to apply systems engineering practices to their systems and projects. While a well-structured, model-based approach to systems engineering is an essential skill for engineers of all disciplines, many companies are finding that new graduates have little understanding of systems engineering. This book helps you acquire this skill with the help of a simple and practical approach to developing successful systems. No prior knowledge of systems engineering or modeling is required to get started with this book.

Advanced Statistics Demystified

Advanced Statistics Demystified
Author: Larry J. Stephens
Publisher: McGraw Hill Professional
Total Pages: 338
Release: 2004-06-07
Genre: Technology & Engineering
ISBN: 0071471014

TAKE THE "MEAN" OUT OF ADVANCED STATISTICS Now anyone who has mastered basic statistics can easily take the next step up. In Advanced Statistics Demystified, experienced statistics instructor Larry J. Stephens provides an effective, anxiety-soothing, and totally painless way to learn advanced statistics -- from inferential statistics, variance analysis, and parametric and nonparametric testing to simple linear regression, correlation, and multiple regression. With Advanced Statistics Demystified, you master the subject one simple step at a time -- at your own speed. This unique self-teaching guide offers exercises at the end of each chapter to pinpoint weaknesses and two 50-question "final exams" to reinforce the entire book. If you want to build or refresh your understanding of advanced statistics, here's a fast and entertaining self-teaching course that's specially designed to reduce anxiety. Get ready to: Draw inferences by comparing means, percents, and variances from two different samples Compare more than two means with variance analysis Make accurate interpretations with simple linear regression and correlation Derive inferences, estimations, and predictions with multiple regression models Apply nonparametric tests when the assumptions for the parametric tests are not satisfied Take two "final exams" and grade them yourself! Simple enough for beginners but challenging enough for advanced students, Advanced Statistics Demystified is your direct route to confident, sophisticated statistical analysis!

Statistical Process Control Demystified

Statistical Process Control Demystified
Author: Paul A. Keller
Publisher: McGraw Hill Professional
Total Pages: 319
Release: 2011-06-05
Genre: Business & Economics
ISBN: 0071742506

INCREASE your odds of learning STATISTICAL process control (SPC) Identify and reduce variation in business processes using SPC--the powerful analysis tool for process evaluation and improvement. Statistical Process Control Demystified shows you how to use SPC to enable data-driven decision making and gain a competitive advantage in the marketplace. Written in a step-by-step format, this practical guide explains how to analyze process data, collect data, and determine the suitability of a process in meeting requirements. Attribute and X-bar control charts are discussed, as are charts for individuals data. You'll also get details on process improvement and measurement systems analysis. Detailed examples, calculations, and statistical assumptions make it easy to understand the material, and end-of-chapter quizzes and a final exam help reinforce key concepts. It's a no-brainer! You'll learn about: Control chart interpretation Overcoming common errors in the use of SPC and general statistical analysis tools Sampling requirements Analysis using Excel Estimating process variation Designed experiments Measurement systems analysis, including R&R studies Continuous process improvement strategies Simple enough for a beginner, but challening enough for an advanced student, Statistical Process Control Demystified is your shortcut to this powerful analysis solution.

Big Data Demystified

Big Data Demystified
Author: David Stephenson
Publisher: Pearson UK
Total Pages: 178
Release: 2018-02-19
Genre: Business & Economics
ISBN: 1292218126

The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. 'Big Data' refers to a new class of data, to which 'big' doesn't quite do it justice. Much like an ocean is more than simply a deeper swimming pool, big data is fundamentally different to traditional data and needs a whole new approach. Packed with examples and case studies, this clear, comprehensive book will show you how to accumulate and utilise 'big data' in order to develop your business strategy. Big Data Demystified is your practical guide to help you draw deeper insights from the vast information at your fingertips; you will be able to understand customer motivations, speed up production lines, and even offer personalised experiences to each and every customer. With 20 years of industry experience, David Stephenson shows how big data can give you the best competitive edge, and why it is integral to the future of your business.