Asking questions about human motivation and living and reaching some conclusions, this book aims to be at the heart of things we see and do and the subjects that bedevil us: from parenting to crime, sport to politics, fat to cheating, fear to traffic jams.

Introduces the reader to the niceties of samples (random or stratified random), averages (mean, median or modal), errors (probable, standard or unintentional), graphs, indexes, and other tools of democratic persuasion.

Provides a humorous tour through modern statistics as it is practiced in a wide variety of fields - from the humanities to the sciences. The book begins with a brief history of the subject, then proceeds to cover data analysis, probability and all topics crucial to the study of statistics.

What have the invention of the wheel, Pompeii, the Wall Street Crash, Harry Potter and the internet got in common? Why are all forecasters con-artists? And, what can Catherine the Great's lovers tell us about probability? This book shows us how to stop trying to predict everything and take advantage of uncertainty.

In a narrative full of fabulous characters and brilliant excursions into the unexpected, Michael Lewis follows the low-budget Oakland Athletic's visionary manager and a strange brotherhood of amateur baseball theorists.

Everyone wants to succeed in life. But what causes some of us to be more successful than others? This book aims to change the way you think about business and the world. It also seeks to shatter the illusions of people around the world by teaching them how to recognize randomness.

Written for those who need to know how statistics work, this work assumes no expert knowledge, and teaches through words and diagrams rather than through figures, formulae and equations. It includes questions in the argument; readers can answer them as they go, enabling them to measure their performance.

An introduction to statistical natural language processing (NLP). The text contains the theory and algorithms needed for building NLP tools. Topics covered include: mathematical and linguistic foundations; statistical methods; collocation finding; word sense disambiguation; and probalistic parsing.

Contains rankings on more than 200 topics in subject areas as geography, population, business, the economy, trade, transport, finance, industry, demographics, the environment, society, culture and crime. This book also contains facts on more than 200 topics, data on 182 countries and profiles of more than 65 of the world's major economies.

Covers supervised learning (prediction) to unsupervised learning. This book contains topics including neural networks, support vector machines, classification trees and boosting.

Human existence is based upon risk. This text charts the adventures of a group of thinkers who embarked on a voyage of intellectual discovery, transforming primeval superstition into the powerful tools of risk control employed today.

Startling statistics shape our thinking about social issues. But all too often, these numbers are wrong. This book guides to spotting bad statistics and learning to think critically about these influential numbers. It is suitable for students, and for those who rely on statistical information to understand social problems.

Want to calculate the probability that an event will happen? Or learn to be a better gambler? This book contains tips, tricks, and solutions from the world of statistics, educational and psychological measurement, and experimental research to help you solve a variety of problems in business, games, and life.

Providing information on developments in the field of statistics, this title includes dozens of problems showing output from EXCEL, SAS, SPSS, STATISTIX, and MINITAB.

S-PLUS is a very popular statistical program for statistical researchers and data analysts. The program is available on both UNIX and Windows platforms.

Explains the mechanics of randomness in fields as diverse as poker hands, email spam, crime statistics, opinion polls and lottery jackpots. This book discusses topics such as: lottery jackpots; terrorist attacks; public opinion polls; margins of error, casino games, how probability can help fight spam e-mail, and more.

This text introduces error analysis through simple and familiar examples from carpentry and well-known historic experiments where an understanding of errors was crucial to the success of the experiment. It is designed as a reference for students in the physical sciences and engineering.

Developing the subject of probability theory and stochastic processes as a deductive discipline, this work illustrates the theory with basic applications of engineering. It bridges the gap between concepts and applications by the use of a large number of examples. It is aimed at students in electrical engineering, math, and physics departments.

Responding to the developments in the field as well as to the needs of a new generation of professionals and students, this edition offers a comprehensive introduction to the most important methods for categorical data analysis. It is suitable for statisticians and biostatisticians as well as scientists and graduate students practicing statistics.

Provides an introduction to the concepts of statistical analysis of data for students at undergraduate and graduate level. This text also provides tools for data reduction and error analysis commonly required in the physical sciences. It features a variety of numerical and graphical techniques, and emphasizes methods of handling data than theory.