On Handling The Data
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On Handling The Data
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Author : M. I. Mayfield
language : en
Publisher:
Release Date : 2007
On Handling The Data written by M. I. Mayfield and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
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.
Principles of Statistical Data Handling is designed to help readers understand the principles of data handling so that they can make better use of computer data in research or study.
On Handling The Data
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Author : M. I. Mayfield
language : en
Publisher: Simon and Schuster
Release Date : 2014-06-20
On Handling The Data written by M. I. Mayfield and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-20 with Fiction categories.
Sometimes a story is best told by omission! A short story from prolific writer M.I. Mayfield.
Handling Qualitative Data
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Author : Lyn Richards
language : en
Publisher: SAGE
Release Date : 2009-11-18
Handling Qualitative Data written by Lyn Richards and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-18 with Reference categories.
Lecturers, click here to request an e-inspection copy of this text 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. Lyn Richards provides clear and pragmatic guidance on how to handle, reflect on and get results from small amounts of data, while at the same time showing how a consideration of methods and their philosophical underpinnings informs how we should best handle our data. This book also covers all the processes of making, meeting, sorting, coding, documenting and exploring qualitative data, smoothly integrating software use and the discussion of the main challenges that readers are likely to encounter. It guides novice researchers to achieve valid and useful outcomes from qualitative analysis, and to ensure they do justice to their data. This second edition features: - Increased coverage of issues about the researcher's relation to their data and ethical implications - An expanded section on preparing for data collection and reflecting on the nature of data. There is also a brand new website, offering: - Live, detailed case studies of qualitative methods in practice, linking to publications and illustrative material. Researchers tell the stories of projects, from design, through what was actually done with the data, to how analysis was achieved and reported; - A software guide with links to information and tutorials in several products.
Handling Data
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Author :
language : en
Publisher:
Release Date : 1990
Handling Data written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with categories.
Open Source Approaches In Spatial Data Handling
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Author : Brent Hall
language : id
Publisher: Springer Science & Business Media
Release Date : 2008-09-27
Open Source Approaches In Spatial Data Handling written by Brent Hall 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 2008-09-27 with Science categories.
The role open-source geospatial software plays in data handling within the spatial information technology industry is the overarching theme of the book. It also examines new tools and applications for those already using OS approaches to software development.
Data Handling Basic Terms
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Author :
language : en
Publisher: EKalam
Release Date :
Data Handling Basic Terms written by and has been published by EKalam this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Learning Objectives :- Data Handling, Data, Array, Observation.
Data Fusion Methodology And Applications
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Author : Marina Cocchi
language : en
Publisher: Elsevier
Release Date : 2019-05-11
Data Fusion Methodology And Applications written by Marina Cocchi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-11 with Science categories.
Data Fusion Methodology and Applications explores the data-driven discovery paradigm in science and the need to handle large amounts of diverse data. Drivers of this change include the increased availability and accessibility of hyphenated analytical platforms, imaging techniques, the explosion of omics data, and the development of information technology. As data-driven research deals with an inductive attitude that aims to extract information and build models capable of inferring the underlying phenomena from the data itself, this book explores the challenges and methodologies used to integrate data from multiple sources, analytical platforms, different modalities, and varying timescales. Presents the first comprehensive textbook on data fusion, focusing on all aspects of data-driven discovery Includes comprehensible, theoretical chapters written for large and diverse audiences Provides a wealth of selected application to the topics included
Efficient Data Handling For Massive Internet Of Medical Things
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Author : Chinmay Chakraborty
language : en
Publisher: Springer Nature
Release Date : 2021-09-01
Efficient Data Handling For Massive Internet Of Medical Things written by Chinmay Chakraborty and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Technology & Engineering categories.
This book focuses on recent advances and different research areas in multi-modal data fusion under healthcare informatics and seeks out theoretical, methodological, well-established and validated empirical work dealing with these different topics. This book brings together the latest industrial and academic progress, research, and development efforts within the rapidly maturing health informatics ecosystem. Contributions highlight emerging data fusion topics that support prospective healthcare applications. The book also presents various technologies and concerns regarding energy aware and secure sensors and how they can reduce energy consumption in health care applications. It also discusses the life cycle of sensor devices and protocols with the help of energy-aware design, production, and utilization, as well as the Internet of Things technologies such as tags, sensors, sensing networks, and Internet technologies. In a nutshell, this book gives a comprehensive overview of the state-of-the-art theories and techniques for massive data handling and access in medical data and smart health in IoT, and provides useful guidelines for the design of massive Internet of Medical Things.
Data Handling In Biomedical Science
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Author : Peter White
language : en
Publisher: Cambridge University Press
Release Date : 2010-05-06
Data Handling In Biomedical Science written by Peter White 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 2010-05-06 with Medical categories.
Packed with worked examples and problems, this book will help the reader improve their confidence and skill in data-handling. The mathematical methods needed for problem-solving are described in the first part of the book, with chapters covering topics such as indices, graphs and logarithms. The following eight chapters explore data-handling in different areas of microbiology and biochemistry including microbial growth, enzymes and radioactivity. Each chapter is fully illustrated with worked examples that provide a step-by-step guide to the solution of the most common problems. Over 30 exercises, ranging in difficulty and length, allow you to practise your skills and are accompanied by a full set of hints and solutions.