5 edition of Statistical and computational methods in data analysis found in the catalog.
Includes bibliographical references and index.
|LC Classifications||QA273 .B86213 1998|
|The Physical Object|
|LC Control Number||98011969|
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The fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given to statistical theory and practical problems.
The concise mathematical treatment of Brand: Springer International Publishing. Computational and Statistical Methods for Analysing Big Data with Applications starts with an overview of the era of big data.
It then goes onto explain the computational and statistical methods which have been commonly applied in the big data revolution. For each of these methods, an example is provided as a guide to its by: 7.
1 Typical Problems of Data Analysis Every branch of experimental science, after passing through an early stage of qualitative description, concerns itself with quantitative studies of the phe nomena of interest, i. e., measurements. In addition to Brand: Springer-Verlag New York.
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Title: Statistical and computational methods in data analysis: Authors: Brandt, Siegmund: Publication: Amsterdam: North-Holland, and New York: American Elsevier.
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Introduction. The two instances of modern in the title of this book reflect the two major recent revolutions in biological data analyses. Biology, formerly a science with sparse, often only qualitative data has turned into a field whose production of quantitative data is on par with high energy physics or astronomy, and whose data are wildly more heterogeneous and complex.
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