Three Approaches To Data Analysis

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Three Approaches to Data Analysis

Author : Igor Chikalov
Publisher : Springer Science & Business Media
ISBN 13 : 3642286674
Total Pages : 209 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Three Approaches to Data Analysis by : Igor Chikalov

Download or read book Three Approaches to Data Analysis written by Igor Chikalov and published by Springer Science & Business Media. This book was released on 2012-07-28 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, the following three approaches to data analysis are presented: - Test Theory, founded by Sergei V. Yablonskii (1924-1998); the first publications appeared in 1955 and 1958, - Rough Sets, founded by Zdzisław I. Pawlak (1926-2006); the first publications appeared in 1981 and 1982, - Logical Analysis of Data, founded by Peter L. Hammer (1936-2006); the first publications appeared in 1986 and 1988. These three approaches have much in common, but researchers active in one of these areas often have a limited knowledge about the results and methods developed in the other two. On the other hand, each of the approaches shows some originality and we believe that the exchange of knowledge can stimulate further development of each of them. This can lead to new theoretical results and real-life applications and, in particular, new results based on combination of these three data analysis approaches can be expected. - Logical Analysis of Data, founded by Peter L. Hammer (1936-2006); the first publications appeared in 1986 and 1988. These three approaches have much in common, but researchers active in one of these areas often have a limited knowledge about the results and methods developed in the other two. On the other hand, each of the approaches shows some originality and we believe that the exchange of knowledge can stimulate further development of each of them. This can lead to new theoretical results and real-life applications and, in particular, new results based on combination of these three data analysis approaches can be expected. These three approaches have much in common, but researchers active in one of these areas often have a limited knowledge about the results and methods developed in the other two. On the other hand, each of the approaches shows some originality and we believe that the exchange of knowledge can stimulate further development of each of them. This can lead to new theoretical results and real-life applications and, in particular, new results based on combination of these three data analysis approaches can be expected.

Case Study Methods in Education

Author : Gary Thomas
Publisher : SAGE Publications Limited
ISBN 13 : 9781446259252
Total Pages : 0 pages
Book Rating : 4.2/5 (592 download)

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Book Synopsis Case Study Methods in Education by : Gary Thomas

Download or read book Case Study Methods in Education written by Gary Thomas and published by SAGE Publications Limited. This book was released on 2013-06-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This four-volume major work collates and contextualises key papers on the use of case study in education. The collection brings together methodological publications and publications which provide exemplars of case study. The methodological material provides both critical analyses of case study and those which champion its use, offering at the same time a chronological map of the development of case study from its earliest uses to today. Framed by an introductory passage in each volume which seeks to provide a synopsis of the methodological discussion and a commentary on the exemplary material, this set provides for serious students in education original source material to appraise the method together with exemplary sample material to help them plan and organize their case studies. Volume One: Methodological issues around the use of case studies in social science Volume Two: Methodological issues around the use of case studies in education Volume Three: The case study in practice - general issues and specific examples Volume Four: Examples of case studies in education

Data Analysis Methods in Physical Oceanography

Author : Richard E. Thomson
Publisher : Elsevier
ISBN 13 : 0080477003
Total Pages : 654 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Data Analysis Methods in Physical Oceanography by : Richard E. Thomson

Download or read book Data Analysis Methods in Physical Oceanography written by Richard E. Thomson and published by Elsevier. This book was released on 2001-04-03 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analysis Methods in Physical Oceanography is a practical referenceguide to established and modern data analysis techniques in earth and oceansciences. This second and revised edition is even more comprehensive with numerous updates, and an additional appendix on 'Convolution and Fourier transforms'. Intended for both students and established scientists, the fivemajor chapters of the book cover data acquisition and recording, dataprocessing and presentation, statistical methods and error handling,analysis of spatial data fields, and time series analysis methods. Chapter 5on time series analysis is a book in itself, spanning a wide diversity oftopics from stochastic processes and stationarity, coherence functions,Fourier analysis, tidal harmonic analysis, spectral and cross-spectralanalysis, wavelet and other related methods for processing nonstationarydata series, digital filters, and fractals. The seven appendices includeunit conversions, approximation methods and nondimensional numbers used ingeophysical fluid dynamics, presentations on convolution, statisticalterminology, and distribution functions, and a number of importantstatistical tables. Twenty pages are devoted to references. Featuring:• An in-depth presentation of modern techniques for the analysis of temporal and spatial data sets collected in oceanography, geophysics, and other disciplines in earth and ocean sciences.• A detailed overview of oceanographic instrumentation and sensors - old and new - used to collect oceanographic data.• 7 appendices especially applicable to earth and ocean sciences ranging from conversion of units, through statistical tables, to terminology and non-dimensional parameters. In praise of the first edition: "(...)This is a very practical guide to the various statistical analysis methods used for obtaining information from geophysical data, with particular reference to oceanography(...)The book provides both a text for advanced students of the geophysical sciences and a useful reference volume for researchers." Aslib Book Guide Vol 63, No. 9, 1998 "(...)This is an excellent book that I recommend highly and will definitely use for my own research and teaching." EOS Transactions, D.A. Jay, 1999 "(...)In summary, this book is the most comprehensive and practical source of information on data analysis methods available to the physical oceanographer. The reader gets the benefit of extremely broad coverage and an excellent set of examples drawn from geographical observations." Oceanography, Vol. 12, No. 3, A. Plueddemann, 1999 "(...)Data Analysis Methods in Physical Oceanography is highly recommended for a wide range of readers, from the relative novice to the experienced researcher. It would be appropriate for academic and special libraries." E-Streams, Vol. 2, No. 8, P. Mofjelf, August 1999

Bayesian Data Analysis

Author : Andrew Gelman
Publisher : CRC Press
ISBN 13 : 1439898200
Total Pages : 663 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Bayesian Data Analysis by : Andrew Gelman

Download or read book Bayesian Data Analysis written by Andrew Gelman and published by CRC Press. This book was released on 2013-11-27 with total page 663 pages. Available in PDF, EPUB and Kindle. Book excerpt: Winner of the 2016 De Groot Prize from the International Society for Bayesian AnalysisNow 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

Qualitative Text Analysis

Author : Udo Kuckartz
Publisher : SAGE
ISBN 13 : 1446297764
Total Pages : 193 pages
Book Rating : 4.4/5 (462 download)

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Book Synopsis Qualitative Text Analysis by : Udo Kuckartz

Download or read book Qualitative Text Analysis written by Udo Kuckartz and published by SAGE. This book was released on 2014-01-23 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can you analyse narratives, interviews, field notes, or focus group data? Qualitative text analysis is ideal for these types of data and this textbook provides a hands-on introduction to the method and its theoretical underpinnings. It offers step-by-step instructions for implementing the three principal types of qualitative text analysis: thematic, evaluative, and type-building. Special attention is paid to how to present your results and use qualitative data analysis software packages, which are highly recommended for use in combination with qualitative text analysis since they allow for fast, reliable, and more accurate analysis. The book shows in detail how to use software, from transcribing the verbal data to presenting and visualizing the results. The book is intended for Master’s and Doctoral students across the social sciences and for all researchers concerned with the systematic analysis of texts of any kind.

Methods and Applications of Longitudinal Data Analysis

Author : Xian Liu
Publisher : Elsevier
ISBN 13 : 0128014822
Total Pages : 530 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Methods and Applications of Longitudinal Data Analysis by : Xian Liu

Download or read book Methods and Applications of Longitudinal Data Analysis written by Xian Liu and published by Elsevier. This book was released on 2015-09-11 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences. It introduces basic concepts and functions including a variety of regression models, and their practical applications across many areas of research. Statistical procedures featured within the text include: descriptive methods for delineating trends over time linear mixed regression models with both fixed and random effects covariance pattern models on correlated errors generalized estimating equations nonlinear regression models for categorical repeated measurements techniques for analyzing longitudinal data with non-ignorable missing observations Emphasis is given to applications of these methods, using substantial empirical illustrations, designed to help users of statistics better analyze and understand longitudinal data. Methods and Applications of Longitudinal Data Analysis equips both graduate students and professionals to confidently apply longitudinal data analysis to their particular discipline. It also provides a valuable reference source for applied statisticians, demographers and other quantitative methodologists. From novice to professional: this book starts with the introduction of basic models and ends with the description of some of the most advanced models in longitudinal data analysis Enables students to select the correct statistical methods to apply to their longitudinal data and avoid the pitfalls associated with incorrect selection Identifies the limitations of classical repeated measures models and describes newly developed techniques, along with real-world examples.

Canadian Essentials of Nursing Research

Author : Joanne Profetto-McGrath
Publisher : Lippincott Williams & Wilkins
ISBN 13 : 160547729X
Total Pages : 512 pages
Book Rating : 4.6/5 (54 download)

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Book Synopsis Canadian Essentials of Nursing Research by : Joanne Profetto-McGrath

Download or read book Canadian Essentials of Nursing Research written by Joanne Profetto-McGrath and published by Lippincott Williams & Wilkins. This book was released on 2010-01-01 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Completely revised With timely content and state-of-the-art research undertaken by Canadian nurse researchers, the Third Edition of this trusted resource provides the guidance you need to effectively critique every aspect of nursing research and apply the results to clinical practice. Canadian Essentials of Nursing Research uses clear, straightforward language and a "user-friendly" presentation to help you understand, retain, and apply fundamental concepts with ease." --Book Jacket.

NASA Information Sciences and Human Factors Program Annual Report, 1990

Author : United States. National Aeronautics and Space Administration. Information Sciences and Human Factors Division
Publisher :
ISBN 13 :
Total Pages : 240 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis NASA Information Sciences and Human Factors Program Annual Report, 1990 by : United States. National Aeronautics and Space Administration. Information Sciences and Human Factors Division

Download or read book NASA Information Sciences and Human Factors Program Annual Report, 1990 written by United States. National Aeronautics and Space Administration. Information Sciences and Human Factors Division and published by . This book was released on 1991 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Nursing Research

Author : Denise F. Polit
Publisher : Lippincott Williams & Wilkins
ISBN 13 : 9780781737333
Total Pages : 800 pages
Book Rating : 4.7/5 (373 download)

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Book Synopsis Nursing Research by : Denise F. Polit

Download or read book Nursing Research written by Denise F. Polit and published by Lippincott Williams & Wilkins. This book was released on 2004 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt: This graduate level nursing research textbook continues the expansion of coverage on qualitative research, including important issues for specific qualitative traditions such as grounded theory, phenomenology and ethnography. Developing solid evidence for practice will be emphasized throughout the text, and important evaluative concepts like reliability, validity, and trustworthiness will be introduced. Other new features include stronger international content (with an emphasis on Canadian and Australian research), inclusion of “tips” in boxes located in appropriate places throughout the chapters, and the use of summary bullet points. This edition will now offer a free Connection Website, connection.LWW.com/go/polit.

Ordered Data Analysis, Modeling and Health Research Methods

Author : Pankaj Choudhary
Publisher : Springer
ISBN 13 : 3319254332
Total Pages : 265 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Ordered Data Analysis, Modeling and Health Research Methods by : Pankaj Choudhary

Download or read book Ordered Data Analysis, Modeling and Health Research Methods written by Pankaj Choudhary and published by Springer. This book was released on 2015-12-14 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents an eclectic mix of original research articles in areas covering the analysis of ordered data, stochastic modeling and biostatistics. These areas were featured in a conference held at the University of Texas at Dallas from March 7 to 9, 2014 in honor of Professor H. N. Nagaraja’s 60th birthday and his distinguished contributions to statistics. The articles were written by leading experts who were invited to contribute to the volume from among the conference participants. The volume is intended for all researchers with an interest in order statistics, distribution theory, analysis of censored data, stochastic modeling, time series analysis, and statistical methods for the health sciences, including statistical genetics.

Gene Expression Data Analysis

Author : Pankaj Barah
Publisher : CRC Press
ISBN 13 : 1000425738
Total Pages : 379 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Gene Expression Data Analysis by : Pankaj Barah

Download or read book Gene Expression Data Analysis written by Pankaj Barah and published by CRC Press. This book was released on 2021-11-21 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Development of high-throughput technologies in molecular biology during the last two decades has contributed to the production of tremendous amounts of data. Microarray and RNA sequencing are two such widely used high-throughput technologies for simultaneously monitoring the expression patterns of thousands of genes. Data produced from such experiments are voluminous (both in dimensionality and numbers of instances) and evolving in nature. Analysis of huge amounts of data toward the identification of interesting patterns that are relevant for a given biological question requires high-performance computational infrastructure as well as efficient machine learning algorithms. Cross-communication of ideas between biologists and computer scientists remains a big challenge. Gene Expression Data Analysis: A Statistical and Machine Learning Perspective has been written with a multidisciplinary audience in mind. The book discusses gene expression data analysis from molecular biology, machine learning, and statistical perspectives. Readers will be able to acquire both theoretical and practical knowledge of methods for identifying novel patterns of high biological significance. To measure the effectiveness of such algorithms, we discuss statistical and biological performance metrics that can be used in real life or in a simulated environment. This book discusses a large number of benchmark algorithms, tools, systems, and repositories that are commonly used in analyzing gene expression data and validating results. This book will benefit students, researchers, and practitioners in biology, medicine, and computer science by enabling them to acquire in-depth knowledge in statistical and machine-learning-based methods for analyzing gene expression data. Key Features: An introduction to the Central Dogma of molecular biology and information flow in biological systems A systematic overview of the methods for generating gene expression data Background knowledge on statistical modeling and machine learning techniques Detailed methodology of analyzing gene expression data with an example case study Clustering methods for finding co-expression patterns from microarray, bulkRNA, and scRNA data A large number of practical tools, systems, and repositories that are useful for computational biologists to create, analyze, and validate biologically relevant gene expression patterns Suitable for multidisciplinary researchers and practitioners in computer science and biological sciences

Analyzing Quantitative Data

Author : Norman Blaikie
Publisher : SAGE
ISBN 13 : 9780761967583
Total Pages : 376 pages
Book Rating : 4.9/5 (675 download)

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Book Synopsis Analyzing Quantitative Data by : Norman Blaikie

Download or read book Analyzing Quantitative Data written by Norman Blaikie and published by SAGE. This book was released on 2003-03-06 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: For social researchers who need to know what procedures to use under what circumstances in practical research projects, this book does not require an indepth understanding of statistical theory.

ECRM2013-Proceedings of the 12th European Conference on Research Methods

Author : Isabel Ramos
Publisher : Academic Conferences Limited
ISBN 13 : 190950730X
Total Pages : 415 pages
Book Rating : 4.9/5 (95 download)

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Book Synopsis ECRM2013-Proceedings of the 12th European Conference on Research Methods by : Isabel Ramos

Download or read book ECRM2013-Proceedings of the 12th European Conference on Research Methods written by Isabel Ramos and published by Academic Conferences Limited. This book was released on 2013-04-07 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complete proceedings of the 13th European Conference on Research Methodology for Business and Management Studies ECRM 2013 PRINT version Published by Academic Conferences and Publishing International Limited.

The Mixed Methods Research Workbook

Author : Michael D. Fetters
Publisher : SAGE Publications
ISBN 13 : 1506393608
Total Pages : 313 pages
Book Rating : 4.5/5 (63 download)

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Book Synopsis The Mixed Methods Research Workbook by : Michael D. Fetters

Download or read book The Mixed Methods Research Workbook written by Michael D. Fetters and published by SAGE Publications. This book was released on 2019-10-03 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Mixed Methods Research Workbook by Michael Fetters is the perfect tool for doctoral students and researchers who want support throughout their research project, as well as a practical way to apply the knowledge they have learned. With this text, students can tackle their mixed methods research project with confidence.

Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges

Author : Aboul Ella Hassanien
Publisher : Springer Nature
ISBN 13 : 303059338X
Total Pages : 648 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges by : Aboul Ella Hassanien

Download or read book Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2020-12-14 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.

Handbook of Data Analysis

Author : Melissa A Hardy
Publisher : SAGE
ISBN 13 : 1446203441
Total Pages : 728 pages
Book Rating : 4.4/5 (462 download)

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Book Synopsis Handbook of Data Analysis by : Melissa A Hardy

Download or read book Handbook of Data Analysis written by Melissa A Hardy and published by SAGE. This book was released on 2009-06-17 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electronic Inspection Copy available for instructors here 'This book provides an excellent reference guide to basic theoretical arguments, practical quantitative techniques and the methodologies that the majority of social science researchers are likely to require for postgraduate study and beyond' - Environment and Planning 'The book provides researchers with guidance in, and examples of, both quantitative and qualitative modes of analysis, written by leading practitioners in the field. The editors give a persuasive account of the commonalities of purpose that exist across both modes, as well as demonstrating a keen awareness of the different things that each offers the practising researcher' - Clive Seale, Brunel University 'With the appearance of this handbook, data analysts no longer have to consult dozens of disparate publications to carry out their work. The essential tools for an intelligent telling of the data story are offered here, in thirty chapters written by recognized experts. ' - Michael Lewis-Beck, F Wendell Miller Distinguished Professor of Political Science, University of Iowa 'This is an excellent guide to current issues in the analysis of social science data. I recommend it to anyone who is looking for authoritative introductions to the state of the art. Each chapter offers a comprehensive review and an extensive bibliography and will be invaluable to researchers wanting to update themselves about modern developments' - Professor Nigel Gilbert, Pro Vice-Chancellor and Professor of Sociology, University of Surrey This is a book that will rapidly be recognized as the bible for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars and students can turn to it for teaching and applied needs with confidence. The book also seeks to enhance debate in the field by tackling more advanced topics such as models of change, causality, panel models and network analysis. Specialists will find much food for thought in these chapters. A distinctive feature of the book is the breadth of coverage. No other book provides a better one-stop survey of the field of data analysis. In 30 specially commissioned chapters the editors aim to encourage readers to develop an appreciation of the range of analytic options available, so they can choose a research problem and then develop a suitable approach to data analysis.

Rough Sets

Author : Andrea Campagner
Publisher : Springer Nature
ISBN 13 : 3031509595
Total Pages : 686 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Rough Sets by : Andrea Campagner

Download or read book Rough Sets written by Andrea Campagner and published by Springer Nature. This book was released on 2024-01-31 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Joint Conference on Rough Sets, IJCRS 2023, held in Krakow, Poland, during October 5–8, 2023. The 43 full papers included in this book were carefully reviewed and selected from 83 submissions. They were organized in topical sections as follows: Rough Set Models, Foundations, Three-way Decisions, Granular Models, Distances and Similarities, Hybrid Approaches, Applications, Cybersecurity and IoT.