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Author : Donald A. Dickie
Publisher : Unknown
Page : 128 pages
File Size : 45,5 Mb
Release : 2019-08-29
Category : Electronic
ISBN : 1634540611
This book is about how to reduce large data sets down to the critical few high-risk subsets.
Author : National Research Council,Division on Engineering and Physical Sciences,Board on Mathematical Sciences and Their Applications,Committee on Applied and Theoretical Statistics,Committee on the Analysis of Massive Data
Publisher : National Academies Press
Page : 190 pages
File Size : 41,7 Mb
Release : 2013-09-03
Category : Mathematics
ISBN : 9780309287814
Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale--terabytes and petabytes--is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge--from computer science, statistics, machine learning, and application disciplines--that must be brought to bear to make useful inferences from massive data.
Author : Andrew Gelman,John B. Carlin,Hal S. Stern,David B. Dunson,Aki Vehtari,Donald B. Rubin
Publisher : CRC Press
Page : 677 pages
File Size : 50,8 Mb
Release : 2013-11-01
Category : Mathematics
ISBN : 9781439840955
Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.
Author : Tiffany Bergin
Publisher : SAGE
Page : 381 pages
File Size : 52,6 Mb
Release : 2018-10-15
Category : Social Science
ISBN : 9781526452313
Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete introduction to the fundamentals of data analysis. Using real-world case studies as illustrations, it helps readers understand theories behind and develop techniques for conducting quantitative, qualitative, and mixed methods data analysis. With an easy-to-follow organization and clear, jargon-free language, it helps readers not only become proficient data analysts, but also develop the critical thinking skills necessary to assess analyses presented by others in both academic research and the popular media. It includes advice on: - Data analysis frameworks - Validity and credibility of data - Sampling techniques - Data management - The big data phenomenon - Data visualisation - Effective data communication Whether you are new to data analysis or looking for a quick-reference guide to key principles of the process, this book will help you uncover nuances, complexities, patterns, and relationships among all types of data.
Author : Taylor H. Lewis
Publisher : CRC Press
Page : 341 pages
File Size : 51,9 Mb
Release : 2016-09-15
Category : Mathematics
ISBN : 9781498776806
Complex Survey Data Analysis with SAS® is an invaluable resource for applied researchers analyzing data generated from a sample design involving any combination of stratification, clustering, unequal weights, or finite population correction factors. After clearly explaining how the presence of these features can invalidate the assumptions underlying most traditional statistical techniques, this book equips readers with the knowledge to confidently account for them during the estimation and inference process by employing the SURVEY family of SAS/STAT® procedures. The book offers comprehensive coverage of the most essential topics, including: Drawing random samples Descriptive statistics for continuous and categorical variables Fitting and interpreting linear and logistic regression models Survival analysis Domain estimation Replication variance estimation methods Weight adjustment and imputation methods for handling missing data The easy-to-follow examples are drawn from real-world survey data sets spanning multiple disciplines, all of which can be downloaded for free along with syntax files from the author’s website: http://mason.gmu.edu/~tlewis18/. While other books may touch on some of the same issues and nuances of complex survey data analysis, none features SAS exclusively and as exhaustively. Another unique aspect of this book is its abundance of handy workarounds for certain techniques not yet supported as of SAS Version 9.4, such as the ratio estimator for a total and the bootstrap for variance estimation. Taylor H. Lewis is a PhD graduate of the Joint Program in Survey Methodology at the University of Maryland, College Park, and an adjunct professor in the George Mason University Department of Statistics. An avid SAS user for 15 years, he is a SAS Certified Advanced programmer and a nationally recognized SAS educator who has produced dozens of papers and workshops illustrating how to efficiently and effectively conduct statistical analyses using SAS.
Author : Gábor Békés,Gábor Kézdi
Publisher : Cambridge University Press
Page : 741 pages
File Size : 55,5 Mb
Release : 2021-05-06
Category : Business & Economics
ISBN : 9781108483018
A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.
Author : Herbert Weisberg,Jon A. Krosnick,Bruce D. Bowen
Publisher : SAGE
Page : 412 pages
File Size : 53,7 Mb
Release : 1996-07-16
Category : Political Science
ISBN : 0803974027
The nature of survey research - The survey process - Sampling procedures - Questionnaire construction - The data collection stage - Coding practices - Designing survey - The process of data analysis - Single-variable statistics - Statistical inference for means - Two-variable tables - Measures of association - Control tables - Correlation and regression - Writing survey reports - Evaluating surveys - The ethics of polls.
Author : Anonim
Publisher : DIANE Publishing
Page : 285 pages
File Size : 41,7 Mb
Release : 2024-06-06
Category : Electronic
ISBN : 9781428927803
Author : Serban C. Moldoveanu,Victor David
Publisher : Elsevier
Page : 598 pages
File Size : 52,5 Mb
Release : 2016-11-01
Category : Science
ISBN : 9780128037119
Selection of the HPLC Method in Chemical Analysis serves as a practical guide to users of high-performance liquid chromatography and provides criteria for method selection, development, and validation. High-performance liquid chromatography (HPLC) is the most common analytical technique currently practiced in chemistry. However, the process of finding the appropriate information for a particular analytical project requires significant effort and pre-existent knowledge in the field. Further, sorting through the wealth of published data and literature takes both time and effort away from the critical aspects of HPLC method selection. For the first time, a systematic approach for sorting through the available information and reviewing critically the up-to-date progress in HPLC for selecting a specific analysis is available in a single book. Selection of the HPLC Method in Chemical Analysis is an inclusive go-to reference for HPLC method selection, development, and validation. Addresses the various aspects of practice and instrumentation needed to obtain reliable HPLC analysis results Leads researchers to the best choice of an HPLC method from the overabundance of information existent in the field Provides criteria for HPLC method selection, development, and validation Authored by world-renowned HPLC experts who have more than 60 years of combined experience in the field
Author : N. GOPALAKRISHNAN
Publisher : PHI Learning Pvt. Ltd.
Page : 354 pages
File Size : 41,7 Mb
Release : 2012-02-11
Category : Technology & Engineering
ISBN : 9788120345287
This compact and concise text, based on the rich and vast experience of the author gained while training thousands of individuals, explains in detail what Six Sigma is and why it is necessary to adapt the process. It explains the methodology, tools to be used, and the Six Sigma implementation process. The book describes how to define a problem, how to measure the key inputs and outputs, and how to collect and analyse the data. It discusses the method of identifying the problems, solutions and, with this, to improve the problem process to get Six Sigma output on a continuous basis. The book gives details of how to impart training on the Six Sigma concepts, tools and implementation methodology to master black belts, black belts and green belts. It contains a detailed syllabus for the training, and the method of selecting the trainers. This book should prove extremely useful to students of engineering, especially Production/Mechanical Engineering and Industrial Engineering and Management, and postgraduate students of business management. It will be of immense value to all the organisations which wish to achieve highest quality outputs. KEY FEATURES : Illustrates all the tools to be used in each of the phases with ready to use templates using the MS Excel work sheets. Explains step-by-step the implementation process and how to record the results. Describes the data collection process and forms to be used for different types of data. Discusses how to control all the processes to ensure stability in the process. Contains a number of case studies to help both students and professionals.
Author : Peter Bruce,Andrew Bruce
Publisher : "O'Reilly Media, Inc."
Page : 395 pages
File Size : 53,7 Mb
Release : 2017-05-10
Category : Computers
ISBN : 9781491952917
Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data
Author : Anonim
Publisher : Pathways to Higher Education
Page : 128 pages
File Size : 44,8 Mb
Release : 2024-06-06
Category : Electronic
ISBN : 9789772239559
Author : Don Dickie
Publisher : FriesenPress
Page : 211 pages
File Size : 52,7 Mb
Release : 2022-03-22
Category : Poetry
ISBN : 9781039134034
2020 was the year in which George Floyd was killed and COVID-19 struck the world. In May, demonstrations raged and then COVID lockdowns just barely smothered the flames, leaving the embers red hot amongst the dry tinder of society’s privilege. Against this backdrop, Aikido, the Way of Peace, faltered, with systemic racism and physical distancing eviscerating the ability to practice within the confines of a dojo. This book will remind Aikidokas of O Sensei’s original teachings. Aikido is more than physical technique that applauds athleticism and crowd appeal. There is a dimension of personal and societal development hidden in O Sensei’s lectures and dokas. O Sensei’s vision of Aikido went beyond technique, beyond white privilege and beyond a COVID pandemic. Selected quotes from The Heart of Aikido and The Secret Teachings of Aikido appear at the beginning of each chapter, followed by poems that explore O Sensei’s underlying intent and meaning. This book will help Aikidokas of all levels to get in touch with O Sensei’s vision to help society to build a more peaceful world.
Author : Don Dickie
Publisher : FriesenPress
Page : 169 pages
File Size : 45,6 Mb
Release : 2022-06-09
Category : Poetry
ISBN : 9781039142176
This is my story. About a gay guy born and raised in suburban Toronto. It is about being different and about the struggle to discover and recognize my gayness in a society that shunned and targeted gay youth and men. But it is not just about struggle and pain. It is also about the good things in life that help to create a family full of fun, love and companionship. Throughout my almost seventy years of life, I have worn many different faces: corporate executive, husband, father, brother, martial artist, Buddhist, artist and poet. I met an extraordinary lesbian and together we formed a family with a young son more than 30 years ago, long before gay families made the headlines. I found the love of life and have celebrated more than 25 years of married life together. And I experienced the losses and grief that everyone experiences as loved ones pass and illness raises its head. My story is my own and it is different. And it holds much of what is the same for everyone else.
Author : Lutz K. Berkner
Publisher : Administration
Page : 292 pages
File Size : 42,6 Mb
Release : 1996
Category : Education
ISBN : OSU:32435056862840