3 edition of A practical guide to scientific data analysis found in the catalog.
Includes bibliographical references and index.
|LC Classifications||QA279 .L597 2009|
|The Physical Object|
|Pagination||xv, 341 p. :|
|Number of Pages||341|
|LC Control Number||2009025910|
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Inspired by the author's need for practical guidance in the processes of data analysis, A Practical Guide to Scientific Data Analysis has been written as a statistical companion for the working scientist.
This. Inspired by the author's need for practical guidance in the processes of data analysis, A Practical Guide to Scientific Data Analysis has been written as a statistical companion for the working scientist.
This Cited by: Get this from a library. A practical guide to scientific data analysis. [D Livingstone] -- Inspired by the author's need for practical guidance in the processes of data analysis, A Practical Guide to Scientific. A Practical Guide to Scientific Data Analysis is a practical handbook aimed at the working scientist involved in the design of performance chemicals.
It will have wide appeal, not only to chemists, but. This thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests. Only requiring minimal mathematics beyond algebra, the book Cited by: -Technometrics (Review of the Second Edition) This thoroughly revised and expanded third edition is a practical guide to data analysis using the bootstrap, cross-validation, and permutation tests.
R and Python for Oceanographers: A Practical Guide with Applications describes the uses of scientific Python packages and R in oceanographic data analysis, including both script codes and graphic. Get this from a library.
A practical guide to scientific data analysis. [D Livingstone] -- "This handbook of data analysis with worked examples focuses on the application of mathematical and statistical. A Practical Guide to Scientific Data Analysis by David Livingstone: Wiley, Chichester, UK,pp xv +ISBN Price: GBPUSD Author: R.
Edwards. The main parts of the book include exploratory data analysis, pattern mining, clustering, and classification.
The book lays the basic foundations of these tasks, and also covers many more cutting-edge data mining topics. View Free Book.
You will find a book introducing into scientific researching with practical step by step examples in data analysis and in visualizing data using R. Boran Altincicek is a researcher with a lot of experience in. Artificial Intelligence and Friends.
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This book is a practical guide not only on how to operate the tool but also on why the tool is designed and what implications of various patterns that require special attention. This book is written with a. Book Description.
Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice.
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Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service. This book explains the basic data algorithms without the.
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