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Combinatorial Number Theory - Proceedings of the "Integers Conference 2011", Carrollton, Georgia, USA, October 26-29, 2011... Combinatorial Number Theory - Proceedings of the "Integers Conference 2011", Carrollton, Georgia, USA, October 26-29, 2011 (Hardcover)
Aviezri S Fraenkel, Daniel A Goldston, Neil Hindman, Frank Thorne, John H. Johnson, …
R5,462 Discovery Miles 54 620 Ships in 12 - 17 working days

This volume contains selected refereed papers based on lectures presented at the "Integers Conference 2011", an international conference in combinatorial number theory that was held in Carrollton, Georgia, United States in October 2011. This was the fifth Integers Conference, held bi-annually since 2003. It featured plenary lectures presented by Ken Ono, Carla Savage, Laszlo Szekely, Frank Thorne, and Julia Wolf, along with sixty other research talks. This volume consists of ten refereed articles, which are expanded and revised versions of talks presented at the conference. They represent a broad range of topics in the areas of number theory and combinatorics including multiplicative number theory, additive number theory, game theory, Ramsey theory, enumerative combinatorics, elementary number theory, the theory of partitions, and integer sequences.

Everydata - The Misinformation Hidden in the Little Data You Consume Every Day (Hardcover): John H. Johnson Everydata - The Misinformation Hidden in the Little Data You Consume Every Day (Hardcover)
John H. Johnson
R932 Discovery Miles 9 320 Ships in 12 - 17 working days

While everyone is talking about "big data," the truth is that understanding the "little data"--the stats that underlie newspaper headlines, stock reports, weather forecasts, and so on--is what helps you make smarter decisions at work, at home, and in every aspect of your life. The average person consumes approximately 30 gigabytes of data every single day, but has no idea how to interpret it correctly. EVERYDATA explains, through the eyes of an expert economist and statistician, how to decipher the small bytes of data we consume in a day. EVERYDATA is filled with countless examples of people misconstruing data--with results that range from merely frustrating to catastrophic: The space shuttle Challenger exploded in part because the engineers were reviewing a limited sample set. Millions of women avoid caffeine during pregnancy because they interpret correlation as causation. Attorneys faced a $1 billion jury verdict because of outlier data. Each chapter highlights one commonly misunderstood data concept, using both realworld and hypothetical examples from a wide range of topics, including business, politics, advertising, law, engineering, retail, parenting, and more. You'll find the answer to the question--"Now what?"--along with concrete ways you can use this information to immediately start making smarter decisions, today and every day.

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