Data Handling And Analysis
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Fundamentals And Analytical Applications Of Multiway Calibration
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Author :
language : en
Publisher: Elsevier
Release Date : 2015-08-10
Fundamentals And Analytical Applications Of Multiway Calibration written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-10 with Computers categories.
Fundamentals and Analytical Applications of Multi-Way Calibration presents researchers with a set of effective tools they can use to obtain the maximum information from instrumental data. It includes the most advanced techniques, methods, and algorithms related to multi-way calibration and the ways they can be applied to solve actual analytical problems. This book provides a comprehensive coverage of the main aspects of multi-way analysis, including fundamentals and selected applications of chemometrics that can resolve complex analytical chemistry problems through the use of multi-way calibration. - Includes the most advanced techniques, methods, and algorithms related to multi-way calibration and the ways they can be applied to solve actual analytical problems - Presents researchers with a set of effective tools they can use to obtain the maximum information from instrumental data - Provides comprehensive coverage of the main aspects of multi-way analysis, including fundamentals and selected applications of chemometrics
Principles Of Statistical Data Handling
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Author : Fred Davidson
language : en
Publisher: SAGE Publications, Incorporated
Release Date : 1996-04-09
Principles Of Statistical Data Handling written by Fred Davidson and has been published by SAGE Publications, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-04-09 with Education categories.
ABOUT THE APPROACH "I like the stress on a ′principled approach′ to data handling. The author makes clear that data analysts need to be thoughtful, careful, and reflective; data handling is not viewed as simply a mechanical or routine activity." --George Engelhard Jr., Emory University GENERAL "Principles of Statistical Data Handling deals with the most neglected aspect of implementing a quantitative research design, that is preparing the data for statistical analysis. Because this part of the process is so often neglected it is the most common source of trouble when a quantitative research project crashes, produces gibberish, and has to be done all over again. Remarkably, the author writes an interesting and easy-to-read book on what might seem an irredeemably dreary and technical topic. I will recommend this book to almost every one of my students who plans to do a dissertation using quantitative data." W. Paul Vogt, State University of New York, Albany "Many of the topics and strategies covered in this text are very realistic, and most of us that have been involved in data analysis over the years can relate to the data handling problems mentioned in the text; the author has done an excellent job of sharing his wisdom from many years of practical work as a data analyst." --George Engelhard Jr., Emory University ABOUT THE WRITING STYLE "The writing style is clearly informal. The author speaks to the reader as a good teacher speaks to a student." --Robert F. DeVellis, The University of North Carolina, Chapel Hill "There is a delightful humor that comes through in this book and a playfulness that I enjoyed. The pace and level is appropriate for an introduction to data handling." --John W. Creswell, University of Nebraska, Lincoln ABOUT THE PEDAGOGY "The discussion questions are very, very good. I particularly like the idea of suggesting that the reader/student interact with some ′outsiders.′" --Carl J. Huberty, The University of Georgia Faulty data can lead to faulty conclusions, and because data often concern people--that can mean faulty conclusions about people. Aimed at helping readers understand the principles of data handling so that they can make better use of computer data in their research and studies, Principles of Statistical Data Handling shows readers how to input, manipulate, and debug their data to make substantive analysis easier and more accurate. Using a series of principles, universal concepts that apply no matter what the data gathering context or computer software, author Fred Davidson presents a situation or a problem, suggests how it might be resolved, and demonstrates the implementation of each principle as it appears in the command languages of SAS and SPSS. This volume is essential for graduate courses in data analysis or research methods taught out of psychology, education, and sociology departments. Researchers in these areas who want to brush-up on their techniques will also find Principles of Statistical Data Handling an indispensable book.
Statistical Methods For Handling Incomplete Data
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Author : Jae Kwang Kim
language : en
Publisher: CRC Press
Release Date : 2013-07-23
Statistical Methods For Handling Incomplete Data written by Jae Kwang Kim and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-23 with Mathematics categories.
Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and computational methods for analyzing incomplete data. Suitable for graduate students and researchers in statistics, the book presents thorough treatments of: Statistical theories of likelihood-based inference with missing data Computational techniques and theories on imputation Methods involving propensity score weighting, nonignorable missing data, longitudinal missing data, survey sampling, and statistical matching Assuming prior experience with statistical theory and linear models, the text uses the frequentist framework with less emphasis on Bayesian methods and nonparametric methods. It includes many examples to help readers understand the methodologies. Some of the research ideas introduced can be developed further for specific applications.
Data Handling And Analysis
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Author : Andrew D. Blann
language : en
Publisher:
Release Date : 2023
Data Handling And Analysis written by Andrew D. Blann and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Medical informatics categories.
'Data Handling and Analysis' provides a broad review of the quantitative skills needed to be an effective biomedical scientist. Spanning the collection, presentation, and analysis of data - and drawing on relevant examples throughout - it is the ideal introduction to the subject for any student of biomedical science.
Applied Spatial Data Analysis With R
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Author : Roger S. Bivand
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-08-24
Applied Spatial Data Analysis With R written by Roger S. Bivand and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-24 with Medical categories.
We began writing this book in parallel with developing software for handling and analysing spatial data withR (R Development Core Team, 2008). - though the book is now complete, software development will continue, in the R community fashion, of rich and satisfying interaction with users around the world, of rapid releases to resolve problems, and of the usual joys and frust- tions of getting things done. There is little doubt that without pressure from users, the development ofR would not have reached its present scale, and the same applies to analysing spatial data analysis withR. It would, however, not be su?cient to describe the development of the R project mainly in terms of narrowly de?ned utility. In addition to being a communityprojectconcernedwiththedevelopmentofworld-classdataana- sis software implementations, it promotes speci?c choices with regard to how data analysis is carried out.R is open source not only because open source software development, including the dynamics of broad and inclusive user and developer communities, is arguably an attractive and successful development model.
Handbook Of Statistical Analysis And Data Mining Applications
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Author : Ken Yale
language : en
Publisher: Elsevier
Release Date : 2017-11-09
Handbook Of Statistical Analysis And Data Mining Applications written by Ken Yale and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-09 with Mathematics categories.
Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. - Includes input by practitioners for practitioners - Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models - Contains practical advice from successful real-world implementations - Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions - Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications
R For Data Science
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Author : Hadley Wickham
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-12-12
R For Data Science written by Hadley Wickham and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-12 with Computers categories.
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Practical Data Analysis In Chemistry
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Author : Marcel Maeder
language : en
Publisher: Elsevier
Release Date : 2007-08-10
Practical Data Analysis In Chemistry written by Marcel Maeder and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-10 with Mathematics categories.
The majority of modern instruments are computerised and provide incredible amounts of data. Methods that take advantage of the flood of data are now available; importantly they do not emulate 'graph paper analyses' on the computer. Modern computational methods are able to give us insights into data, but analysis or data fitting in chemistry requires the quantitative understanding of chemical processes. The results of this analysis allows the modelling and prediction of processes under new conditions, therefore saving on extensive experimentation. Practical Data Analysis in Chemistry exemplifies every aspect of theory applicable to data analysis using a short program in a Matlab or Excel spreadsheet, enabling the reader to study the programs, play with them and observe what happens. Suitable data are generated for each example in short routines, this ensuring a clear understanding of the data structure. Chapter 2 includes a brief introduction to matrix algebra and its implementation in Matlab and Excel while Chapter 3 covers the theory required for the modelling of chemical processes. This is followed by an introduction to linear and non-linear least-squares fitting, each demonstrated with typical applications. Finally Chapter 5 comprises a collection of several methods for model-free data analyses.* Includes a solid introduction to the simulation of equilibrium processes and the simulation of complex kinetic processes.* Provides examples of routines that are easily adapted to the processes investigated by the reader* 'Model-based' analysis (linear and non-linear regression) and 'model-free' analysis are covered
Statistical Analysis Of Circular Data
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Author : N. I. Fisher
language : en
Publisher: Cambridge University Press
Release Date : 1995-10-12
Statistical Analysis Of Circular Data written by N. I. Fisher and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-10-12 with Mathematics categories.
A unified, up-to-date account of circular data-handling techniques, useful throughout science.
Handling Qualitative Data
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Author : Lyn Richards
language : en
Publisher: SAGE Publications
Release Date : 2009-11-30
Handling Qualitative Data written by Lyn Richards and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-30 with Reference categories.
This new edition of Lyn Richards' best-selling book provides an accessible introduction to qualitative research for students and practitioners. Recognizing that for many new researchers dealing with data is the main point of departure, this book helps them to acquire a progressive understanding of the skills and methodological issues that are central to qualitative research. This second edition features increased coverage of ethical implications, preparing for data collection and reflecting on the nature of data, and there is also a brand new website, offering live, detailed case studies and a software guide with links to information and tutorials in several products.