The experiments manual is a lab manual for the beginning electronics student who does not have any previous experience in electricity or electronics. The experiments are coordinated with the text chapter-by-chapter. In total, there are over 70 experiments, starting with basic safety, lab equipment, and identification of electronic components. All basic aspects of circuit theory are covered. The enclosed CD-ROM contains the MultiSIM textbook edition program and 40 simulation activities. These activities provide students with extra experience using the prelabs, and with additional exercises including critical thinking and troubleshooting practice related to select hands-on experiments.

This lab book, written by Wes Ponick, provides students and instructors with easy- to-follow laboratory experiments. The experiments range from an introduction to laboratory equipment to experiments dealing with operational amplifiers. All experiments have been student tested to ensure their effectiveness. The lab book is organized to correlate with the topics covered in the text, by chapter. All experiments have a Multisim activity that is to be done prior to the actual physical lab activity. Multisim files are part of the Instructor’s Resources on Con- nect. This prepares students to work with circuit simulation software, and also to do “pre-lab” preparation before doing a physical lab exercise. Multisim coverage also reflects the widespread use of circuit simulation software in today’s electronics industries.

The Birnbaum-Saunders Distribution presents the statistical theory, methodology, and applications of the Birnbaum-Saunders distribution, a very flexible distribution for modeling different types of data (mainly lifetime data). The book describes the most recent theoretical developments of this model, including properties, transformations and related distributions, lifetime analysis, and shape analysis. It discusses methods of inference based on uncensored and censored data, goodness-of-fit tests, and random number generation algorithms for the Birnbaum-Saunders distribution, also presenting existing and future applications. - Introduces inference in the Birnbaum-Saunders distribution - Provides a comprehensive review of the statistical theory and methodology of the Birnbaum-Distribution - Discusses different applications of the Birnbaum-Saunders distribution - Explains characterization and the lifetime analysis