A technically precise yet clear presentation of modern sequential methodologies having immediate applications to practical problems in the real world, Applied Sequential Methodologies communicates invaluable techniques for data mining, agricultural science, genetics, computer simulation, finance, clinical trials, sonar signal detection, randomization, multiple comparisons, psychology, tracking, surveillance, and numerous additional areas of application. Includes more than 500 references, 165 figures and tables, and over 25 pages of subject and author indexes. Applied Sequential...
A technically precise yet clear presentation of modern sequential methodologies having immediate applications to practical problems in the real world,...
Students with a background that is less focused on rigorous mathematical theory but more applied in their chosen field often have a difficult time with the theoretical gravity of a course in mathematical statistics. Unfortunately for these students, most textbooks supply only a cursory, if any, review of the prerequisite topics for the course. Mathematical Statistics with Applications provides a thorough grounding in the prerequisite material along with an extensive link to the applications of the theory to the student's area of interest. This is a crucial resource for students who are not...
Students with a background that is less focused on rigorous mathematical theory but more applied in their chosen field often have a difficult time wit...
Item Response Theory clearly describes the most recently developed IRT models and furnishes detailed explanations of algorithms that can be used to estimate the item or ability parameters under various IRT models. Extensively revised and expanded, this edition offers three new chapters discussing parameter estimation with multiple groups, parameter estimation for a test with mixed item types, and Markov chain Monte Carlo methods. It includes discussions on issues related to statistical theory, numerical methods, and the mechanics of computer programs for parameter estimation, which help to...
Item Response Theory clearly describes the most recently developed IRT models and furnishes detailed explanations of algorithms that can be used to es...
Statistical Methods in Computer Security summarizes discussions held at the recent Joint Statistical Meeting to provide a clear layout of current applications in the field. This blue-ribbon reference discusses the most influential advancements in computer security policy, firewalls, and security issues related to passwords. It addresses crime and misconduct on the Internet, considers the development of infrastructures that may prevent breaches of security and law, and illustrates the vulnerability of networked computers to new virus attacks despite widespread deployment of antivirus software,...
Statistical Methods in Computer Security summarizes discussions held at the recent Joint Statistical Meeting to provide a clear layout of current appl...
Demonstrates ways to track industrial processes and performance, integrating related areas such as engineering process control, statistical reasoning in TQM, robust parameter design, control charts, multivariate process monitoring, capability indices, experimental design, empirical model building, and process optimization. The book covers a range of statistical methods and emphasizes practical applications of quality control systems in manufacturing, organization and planning.
Demonstrates ways to track industrial processes and performance, integrating related areas such as engineering process control, statistical reasoning ...
