:future prediction using probability and statistical inference
/ Lawrence N. Dworsky
Hoboken, N.J.
: Wiley-Interscience
, 2008.
xv, 310 p. , ill. , 24 cm.
Print
Includes bibliographical references and index.
"Seemingly random events - coin flip games, the Central Limit Theorem, binomial distributions and Poisson distributions, Parrando's Paradox, and Benford's Law - are addressed and treated through key concepts and methods in probability. In addition, fun-to-solve problems including "the shared birthday" and "the prize behind door number one, two, or three" are found throughout the book, which allow readers to test and practice their new probability skills. Requiring little background knowledge of mathematics, readers will gain a greater understanding of the many daily activities and events that involve random processes and statistics." "Combining the mathematics of probability with real-world examples, Probably Not is an ideal reference for practitioners and students who would like to learn more about the role of probability and statistics in everyday decision making."--Jacket.
An introduction to probability -- Probability distribution functions and some basics -- Building a bell -- Random walks -- Life insurance and social security -- Binomial probabilities -- Pseudorandom numbers and Monte Carlo simulations -- Some gambling games in detail -- Traffic lights and traffic -- Combined and conditional probabilities -- Scheduling and waiting -- Stock market portfolios -- Benford, Parrondo, and Simpson -- Networks, infectious disease propagation, and chain letters -- Bird counting -- Statistical mechanics and heat -- Introduction to statistical analysis -- Chaos and quanta.