Mathematics : Applied

Quantiles provide a natural description of statistical variability in diverse populations; quantile regression offers a unified statistical methodology for studying how these measures of diversity depend upon other influences. more...

Price: $30.00

Computational probability encompasses data structures and algorithms that have emerged over the past decade that allow researchers and students to focus on a new class of stochastic problems. COMPUTATIONAL PROBABILITY is the first book that examines and presents these computational methods in a systematic manner. The techniques described here address problems that require exact probability calculations, many of which have been considered intractable in the past. The first chapter introduces computational probability analysis, followed by a chapter on the Maple computer algebra system. The third chapter begins the description of APPL, the probability modeling language created by the authors. The book ends with three applications-based chapters that emphasize applications in survival analysis and stochastic simulation. The algorithmic material associated with continuous random variables is presented separately from the material for discrete random variables. Four sample algorithms, which are implemented in APPL, are presented in detail: transformations of continuous random variables, products of independent continuous random variables, sums of independent discrete random variables, and order statistics drawn from discrete populations. The APPL computational modeling language gives the field of probability a strong software resource to use for non-trivial problems and is available at no cost from the authors. APPL is currently being used in applications as wide-ranging as electric power revenue forecasting, analyzing cortical spike trains, and studying the supersonic expansion of hydrogen molecules. Requests for the software have come from fields as diverse as marketresearch, pathology, neurophysiology, statistics, engineering, psychology, physics, medicine, and chemistry. more...

Price: $99.00

This highly accessible and innovative textbook comes with a CD with Excel (R) workbooks and add-ins where students actually do econometrics - running Monte Carlo simulations, regressions, and other procedures in the familiar environment of Excel (R). Web site support can be found at www.wabash.edu/econometrics. more...

Price: $68.00

This simple, updated guidebook shows how to read, understand and construct proofs more...

Price: $36.95

Discrete mathematics becomes more and more important as the digital age goes forward. This newly revised third edition updates all areas of the subject. more...

Price: $18.95