Too big to ignore: the business case for big data

Too big to ignore: the business case for big data

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LF/148090743/R
Английский
Phil
Simon
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If you use statistics and need a useful, up-to-date reliable sourcebook of simple definitions and explanations of statistical and statistics-related concepts, then look no further than this dictionary. Over 3,500 terms are defined, a 16% increase over the first edition, covering medical, survey, theoretical, applied statistics, and other topics. The second edition features new entries in the areas of genetics and bioinformatics, and includes short biographies of over 100 important statisticians. The majority of definitions include a reference to a book or article where the user can seek an extended account of a term, and many are accompanied by graphical material to aid understanding. Brian Everitt is Head of the Biostatistics and Computing Department at the Institute of Psychiatry in the University of London. He is the author of nearly forty books on statistics and over eighty journal articles. He has served on numerous journal editorial boards and international conference committees, and is a well-known figure in the world of statistics and statistical computing. 1st Edition (1998) Hb. 0-521-59346-8
LF/148090743/R

Характеристики

ФИО Автора
Phil
Simon
Язык
Английский
Серия
Wiley & SAS business series
ISBN
9781118642108
Дата выхода
2013

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Too big to ignore: the business case for big data

If you use statistics and need a useful, up-to-date reliable sourcebook of simple definitions and explanations of statistical and statistics-related concepts...

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