Download or read book A Primer in Data Reduction written by A. S. C. Ehrenberg and published by John Wiley & Sons. This book was released on 1982 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical data. Frequency distributions. Sampling. Realtionships. Communicating data. Emperical generalization.
Download or read book Teachers Guide to A Primer in Data Reduction written by A. S. C. Ehrenberg and published by John Wiley & Sons. This book was released on 1982-01-01 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A primer in data reduction written by A. S. C. Ehrenberg and published by . This book was released on 1986 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data Reduction written by A. S. C. Ehrenberg and published by Wiley-Interscience. This book was released on 1975 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data handling; Lawlike relationships; Statistical variation; Sampling; Empirical generalisation.
Download or read book A Primer in Data Reduction written by Andrew S. C. Ehrenberg and published by Wiley. This book was released on 2007-04-02 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise, easy to understand introduction that emphasizes the relevance of statistics to real world problems. Describes traditional statistical methods, their uses and limitations, and explains how to reduce numerical data to statistical summaries, how to interpret the results, and how to present the data clearly. Minimizes mathematics without oversimplification and illustrates theories with practical, varied examples. Statistical tables and answers to the exercises are included.
Download or read book A Primer on Compression in the Memory Hierarchy written by Somayeh Sardashti and published by Morgan & Claypool Publishers. This book was released on 2015-12-01 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: This synthesis lecture presents the current state-of-the-art in applying low-latency, lossless hardware compression algorithms to cache, memory, and the memory/cache link. There are many non-trivial challenges that must be addressed to make data compression work well in this context. First, since compressed data must be decompressed before it can be accessed, decompression latency ends up on the critical memory access path. This imposes a significant constraint on the choice of compression algorithms. Second, while conventional memory systems store fixed-size entities like data types, cache blocks, and memory pages, these entities will suddenly vary in size in a memory system that employs compression. Dealing with variable size entities in a memory system using compression has a significant impact on the way caches are organized and how to manage the resources in main memory. We systematically discuss solutions in the open literature to these problems. Chapter 2 provides the foundations of data compression by first introducing the fundamental concept of value locality. We then introduce a taxonomy of compression algorithms and show how previously proposed algorithms fit within that logical framework. Chapter 3 discusses the different ways that cache memory systems can employ compression, focusing on the trade-offs between latency, capacity, and complexity of alternative ways to compact compressed cache blocks. Chapter 4 discusses issues in applying data compression to main memory and Chapter 5 covers techniques for compressing data on the cache-to-memory links. This book should help a skilled memory system designer understand the fundamental challenges in applying compression to the memory hierarchy and introduce him/her to the state-of-the-art techniques in addressing them.
Download or read book Robust Methods for Data Reduction written by Alessio Farcomeni and published by CRC Press. This book was released on 2016-01-13 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust Methods for Data Reduction gives a non-technical overview of robust data reduction techniques, encouraging the use of these important and useful methods in practical applications. The main areas covered include principal components analysis, sparse principal component analysis, canonical correlation analysis, factor analysis, clustering, dou
Download or read book Writing in Political Science written by Diane E. Schmidt and published by Routledge. This book was released on 2019-01-14 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete, professional resource for writing an effective paper in all subfields of political science, Diane Schmidt’s 25th anniversary edition provides students with a practical, easy-to-follow guide for writing about political ideas, events, policies, passions, agendas, and processes. It offers additional formats and guidelines focusing on the growing use of social media and the need for professional communication in blogs, tweets, forums, media sites, lectures on demand, and postings on websites. A collection of student papers shows students how to write well for better grades. After reading Writing in Political Science students will know how to: choose and narrow a research topic; formulate a research agenda; quickly locate reputable information online; execute a study and write up findings; use the vocabulary of political science discourse; follow the criteria used to evaluate student assignments when writing; apply writing skills to an internship, civic engagement project, or grant proposal; and manage and preserve achievements for career development. New to the Fifth Edition Locating Research Materials: Updated links to all sources, expansion of appropriate sources to include mobile sources available through tweets, blogs, forums, and other informal communication; expansion of tools to include database searching; use of smart phone technology; and evaluation of source reliability to include commercial sources, Wikipedia, media sites, social media, and lectures on demand. Creating Evidence: Evaluating data sources on the web including government databases, non-profits, and special interest/commercial data; and using collaborative forms of data collection. Includes a new section on Memorandums of Conversations (MEMCON), essential in recent political controversies. Manuscript Formatting and Reference Styles: Updated examples of citing internet sites, blogs, forums, lectures on demand, and YouTube. Format/Examples: Updated exam-writing treatment to include on-line, e-learning, open-book exams, media applications examples using YouTube and online media; restored legal briefs treatment; revised proposal examples; revised PowerPoint instructions to include diversity considerations; expanded formula for standard research papers to include wider disciplinary treatment, expanded communication techniques, format and examples of appropriate posting for social media and organizational websites, expanded internship treatment, inclusion of needs-assessment format and examples. Career Development: Restoration of 3rd edition chapter and expansion of professional portfolio building including vitae, resume, cover letters, letters of intent, statement of purpose, and skills/competency discussions. Updated citations for changes in The Chicago Manual of Style, 17th Edition, 2017 and The MLA Handbook for Writers of Research Papers, 8th Edition, 2016.
Download or read book Introduction to Data Compression written by Khalid Sayood and published by Morgan Kaufmann. This book was released on 2017-10-23 with total page 790 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Data Compression, Fifth Edition, builds on the success of what is widely considered the best introduction and reference text on the art and science of data compression. Data compression techniques and technology are ever-evolving with new applications in image, speech, text, audio and video. This new edition includes all the latest developments in the field. Khalid Sayood provides an extensive introduction to the theory underlying today’s compression techniques, with detailed instruction for their applications using several examples to explain the concepts. Encompassing the entire field of data compression, the book includes lossless and lossy compression, Huffman coding, arithmetic coding, dictionary techniques, context based compression, and scalar and vector quantization. The book provides a comprehensive working knowledge of data compression, giving the reader the tools to develop a complete and concise compression package. Explains established and emerging standards in- depth, including JPEG 2000, JPEG-LS, MPEG-2, H.264, JBIG 2, ADPCM, LPC, CELP, MELP, iLBC and the new HEVC standard Includes more coverage of lattices in vector quantization Contains improved and expanded end-of-chapter problems Source code is provided via a companion website that gives readers the opportunity to build their own algorithms and choose and implement techniques in their own applications
Download or read book A Primer on Machine Learning Applications in Civil Engineering written by Paresh Chandra Deka and published by CRC Press. This book was released on 2019-10-28 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning has undergone rapid growth in diversification and practicality, and the repertoire of techniques has evolved and expanded. The aim of this book is to provide a broad overview of the available machine-learning techniques that can be utilized for solving civil engineering problems. The fundamentals of both theoretical and practical aspects are discussed in the domains of water resources/hydrological modeling, geotechnical engineering, construction engineering and management, and coastal/marine engineering. Complex civil engineering problems such as drought forecasting, river flow forecasting, modeling evaporation, estimation of dew point temperature, modeling compressive strength of concrete, ground water level forecasting, and significant wave height forecasting are also included. Features Exclusive information on machine learning and data analytics applications with respect to civil engineering Includes many machine learning techniques in numerous civil engineering disciplines Provides ideas on how and where to apply machine learning techniques for problem solving Covers water resources and hydrological modeling, geotechnical engineering, construction engineering and management, coastal and marine engineering, and geographical information systems Includes MATLAB® exercises
Download or read book Introducing Quantitative Geography written by Larry O'Brien and published by Routledge. This book was released on 2005-10-09 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of quantitative geography is to train geographers in numeracy and in the vital skills of data collection, processing and interpretation. Introducting Quantitative Geography describes quantification from first principles to cover all the key elements of quantitative geography. No previous knowledge of statistical procedures is assumed. Worked examples and computer analyses are used to explain measurement, scale, description, models and modelling. Building on this, the book explores and clarifies the intellectual and practical problems presented by numerical and technological advances in the field.
Download or read book The Psychologist s Companion written by Robert J. Sternberg and published by Cambridge University Press. This book was released on 2010-09-30 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The Psychologist's Companion is intended for students as well as young professionals and writers at all stages of their careers seeking inspiration and guidelines for better scientific writing. This book is also a resource for researchers in related fields. It has been comprehensively updated, revised, and extended for its fifth edition and includes the latest style guidelines of the American Psychological Association's Publication Manual (sixth edition, 2009) as well as chapters encompassing the entire research process from doing literature research and planning an experiment to writing the paper. It features new chapters on literature research; ethics; and generating, evaluating, and selling ideas. The Psychologist's Companion also provides information on writing book proposals, grant proposals, and lectures.
Download or read book A Mathematical Primer for Social Statistics written by John Fox and published by SAGE Publications. This book was released on 2021-01-11 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Mathematical Primer for Social Statistics, Second Edition presents mathematics central to learning and understanding statistical methods beyond the introductory level: the basic "language" of matrices and linear algebra and its visual representation, vector geometry; differential and integral calculus; probability theory; common probability distributions; statistical estimation and inference, including likelihood-based and Bayesian methods. The volume concludes by applying mathematical concepts and operations to a familiar case, linear least-squares regression. The Second Edition pays more attention to visualization, including the elliptical geometry of quadratic forms and its application to statistics. It also covers some new topics, such as an introduction to Markov-Chain Monte Carlo methods, which are important in modern Bayesian statistics. A companion website includes materials that enable readers to use the R statistical computing environment to reproduce and explore computations and visualizations presented in the text. The book is an excellent companion to a "math camp" or a course designed to provide foundational mathematics needed to understand relatively advanced statistical methods.
Download or read book Researching Geography written by Gopal Krishan and published by Taylor & Francis. This book was released on 2016-11-03 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cover -- Title -- Copyright -- Contents -- List of figures -- List of tables -- Preface -- Part I Laying the foundation -- 1 What is geographic perspective? -- 2 Essential features of quality of a thesis in geography -- Part II Prefatory phase: the prelims -- 3 Issues pertinent to a thesis in geography -- 4 Research proposal: issues and formulation -- 5 Literature search and review -- Part III Traversing the path: data management -- 6 Typology of data -- 7 Data collection -- 8 Data analysis -- 9 Data representation -- 10 Data interpretation
Download or read book Probability Statistics and Queueing Theory written by Arnold O. Allen and published by Academic Press. This book was released on 2014-06-28 with total page 765 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a textbook on applied probability and statistics with computer science applications for students at the upper undergraduate level. It may also be used as a self study book for the practicing computer science professional. The successful first edition of this book proved extremely useful to students who need to use probability, statistics and queueing theory to solve problems in other fields, such as engineering, physics, operations research, and management science. The book has also been successfully used for courses in queueing theory for operations research students. This second edition includes a new chapter on regression as well as more than twice as many exercises at the end of each chapter. While the emphasis is the same as in the first edition, this new book makes more extensive use of available personal computer software, such as Minitab and Mathematica.
Download or read book The Art and Science of Interpreting Market Research Evidence written by D. V. L. Smith and published by John Wiley & Sons. This book was released on 2004-05-14 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Art and Science of Interpreting Market Research Evidence offers a complete account of the way today's researchers interpret evidence and apply it to decision making. David Smith and Jonathan Fletcher show how to assess your current deciphering processes, and present an innovative framework integrating quantitative and qualitative approaches for analysing complex data-sets. With its holistic approach to interpretation and its 10-step process for making it work in practice, this book will equip you with a deep understanding of data analysis and ultimately improve your judgment to produce better business decisions. "This is modern commercial research, where the mind of the researcher is finally acknowledged as admissible data. Prior knowledge, pragmatism, experience are all robust grist to the 'holistic' research mill. A must-read for anyone getting to grips with 21st century market research." Virginia Valentine, Semiotic Solutions
Download or read book Statistical Thinking in Business Second Edition written by J. A. John and published by CRC Press. This book was released on 2005-08-29 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business students need the ability to think statistically about how to deal with uncertainty and its effect on decision-making in business and management. Traditional statistics courses and textbooks tend to focus on probability, mathematical detail, and heavy computation, and thus fail to meet the needs of future managers. Statistical Thinking in Business, Second Edition responds to the growing recognition that we must change the way business statistics is taught. It shows how statistics is important in all aspects of business and equips students with the skills they need to make sensible use of data and other information. The authors take an interactive, scenario-based approach and use almost no mathematical formulas, opting to use Excel for the technical work. This allows them to focus on using statistics to aid decision-making rather than how to perform routine calculations. New in the Second Edition: A completely revised chapter on forecasting Re-arrangement of the material on data presentation with the inclusion of histograms and cumulative line plots A more thorough discussion of the analysis of attribute data Coverage of variable selection and model building in multiple regression End of chapter summaries More end of chapter problems A variety of case studies throughout the book The second edition also comes with a wealth of ancillary materials provided on a CD-ROM packaged with the book. These include automatically-marked multiple-choice questions, answers to questions in the text, data sets, Excel experiments and demonstrations, an introduction to Excel, and the StiBstat Add-In for stem and leaf plots, box plots, distribution plots, control charts and summary statistics. Solutions to end-of-chapter exercises and powerpoint slides for lecturers are available directly from the publisher.
