Mathematics

Easily accessible without a strong background in math and statistics, this book explains basic to advanced statistical concepts in a clear, concrete, and readable style. Chock full of practical tips for selecting the appropriate statistical procedure, coverage includes numerous definitional formulas for calculating statistics from published tables of summary statistics rather than raw data. more...

Price: $36.95

All techniques illustrated on data sets relevant to insurance; SAS code and output, data sets, exercise solutions on website more...

Price: $56.00

Growing Ideas of Number explores the notion of how ideas of number have grown throughout history. It looks at how different types of number and views of numbers (and their meaning and applications) have varied across cultures over time, and combines historical, archaeological and psychological considerations with the mathematics. The book illustrates some of the real problems and subtleties of number, including counting, calculation, measuring and using machines, which ancient and modern people have grappled with—and continue to grapple with today. It includes a range of illustrative examples, diagrams, tables and references for further reading, as well as suggested activities, exercises and investigations. more...

Price: $34.95

R is dynamic, to say the least. More precisely, it is organic, with new functionality and add-on packages appearing constantly. And because of its open-source nature and free availability, R is quickly becoming the software of choice for statistical analysis in a variety of fields. Doing for R what Everitt's other Handbooks have done for S-PLUS, STATA, SPSS, and SAS, A Handbook of Statistical Analyses Using R presents straightforward, self-contained descriptions of how to perform a variety of statistical analyses in the R environment. From simple inference to recursive partitioning and cluster analysis, eminent experts Everitt and Hothorn lead you methodically through the steps, commands, and interpretation of the results, addressing theory and statistical background only when useful or necessary. They begin with an introduction to R, discussing the syntax, general operators, and basic data manipulation while summarizing the most important features. Numerous figures highlight R's strong graphical capabilities and exercises at the end of each chapter reinforce the techniques and concepts presented. All data sets and code used in the book are available as a downloadable package from CRAN, the R online archive. more...

Price: $49.95

In How Math Explains the World , mathematician Stein reveals how seemingly arcane mathematical investigations and discoveries have led to bigger, more world-shaking insights into the nature of our world. In the four main sections of the book, Stein tells the stories of the mathematical thinkers who discerned some of the most fundamental aspects of our universe. From their successes and failures, delusions, and even duels, the trajectories of their innovations—and their impact on society—are traced in this fascinating narrative. Quantum mechanics, space-time, chaos theory and the workings of complex systems, and the impossibility of a "perfect" democracy are all here. Stein's book is both mind-bending and practical, as he explains the best way for a salesman to plan a trip, examines why any thought you could have is imbedded in the number π , and—perhaps most importantly—answers one of the modern world's toughest questions: why the garage can never get your car repaired on time. Friendly, entertaining, and fun, How Math Explains the World is the first book by one of California's most popular math teachers, a veteran of both "math for poets" and Princeton's Institute for Advanced Studies. And it's perfect for any reader wanting to know how math makes both science and the world tick. more...

Price: $19.95