Stats Data and Models Global Edition

Stats  Data and Models  Global Edition

For courses in Introductory Statistics. Encourages statistical thinking using technology, innovative methods, and a sense of humour Inspired by the 2016 GAISE Report revision, Stats: Data and Models, 5th Edition by De Veaux, Velleman, and Bock uses innovative strategies to help students think critically about data, while maintaining the book's core concepts, coverage, and most importantly, readability. The authors make it easier for instructors to teach and for students to understand more complicated statistical concepts later in the course (such as the Central Limit Theorem). In addition, students get more exposure to large data sets and multivariate thinking, which better prepares them to be critical consumers of statistics in the 21st century. The 5th Edition's approach to teaching Stats: Data and Models is revolutionary, yet it retains the book's lively tone and hallmark pedagogical features such as its Think/Show/Tell Step-by-Step Examples. Samples Download the detailed table of contents Preview sample pages from Stats: Data and Models, Global Edition

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Language: en
Pages: 938
Authors: Richard D. De Veaux, Paul F. Velleman, David E. Bock
Categories: Mathematical statistics
Type: BOOK - Published: 2008 - Publisher: Addison-Wesley Professional

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Language: en
Authors: Zvi Bodie, Alex Kane, Alan Marcus
Categories: Business & Economics
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Introducing... Essentials of Investments, 9th Global Edition, by Zvi Bodie, Alex Kane and Alan J. Marcus. We are pleased to present this Global Edition, which has been developed specifically to meet the needs of international Investment students. A market leader in the field, this text emphasizes asset allocation while presenting
Statistical Data Mining and Knowledge Discovery
Language: en
Pages: 624
Authors: Hamparsum Bozdogan
Categories: Business & Economics
Type: BOOK - Published: 2003-07-29 - Publisher: CRC Press

Massive data sets pose a great challenge to many cross-disciplinary fields, including statistics. The high dimensionality and different data types and structures have now outstripped the capabilities of traditional statistical, graphical, and data visualization tools. Extracting useful information from such large data sets calls for novel approaches that meld concepts,
Methods and Models in Statistics
Language: en
Pages: 246
Authors: John A. Nelder, Niall M. Adams
Categories: Mathematics
Type: BOOK - Published: 2004 - Publisher: Imperial College Press

John Nelder is one of today''s leading statisticians, having made an impact on many parts of the discipline. This book contains reviews of some of those areas, written by top researchers. It is accessible to non-specialists, and is noteworthy for its breadth of coverage.
Statistics, Data Mining, and Machine Learning in Astronomy
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Categories: Computers
Type: BOOK - Published: 2019-12-03 - Publisher: Princeton University Press

Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the Large Synoptic Survey Telescope. Now fully updated, it presents