Lefebvre, Mario 1957-

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Lefebvre, Mario 1957-

PERSONAL:

Born 1957. Education: University of Montréal, Canada, B.Sc., M.Sc.; Cambridge University, Ph.D.

ADDRESSES:

Office—École Polytechnique de Montréal, C.P. 6079, Succ. Centre-ville, Montreal, Quebec H3C 3A7, Canada. E-mail—mario.lefebvre@polymtl.ca.

CAREER:

École Polytechnique de Montréal, Montréal, Quebec, Canada, professor of mathematics and industrial engineering.

WRITINGS:

Applied Probability and Statistics, Springer (New York, NY), 2006.

Applied Stochastic Processes, Springer (New York, NY), 2006.

Contributor to periodicals.

SIDELIGHTS:

Mario Lefebvre is a professor of mathematics and industrial engineering who frequently writes on topics such as stochastic processes and applied probability. In Applied Probability and Statistics, Lefebvre presents a comprehensive overview of the titular subjects suitable for advanced undergraduate students and readers in technical fields such as engineering, applied mathematics, and computer science. The book is designed to support a one-semester college course on probability and statistics, according to a writer on the Powell's Books Web site. Lefebvre covers topics such as random variables and vectors, stochastic processes, testing, regression, estimation, and more. He includes a number of both solved and unsolved problems, as well as dozens of multiple choice questions designed to reinforce the material presented in the book. Lefebvre also includes biographical and historical notes on many of the mathematicians featured in the text. A detailed bibliography and informative appendices containing useful formulas cap off the many features of the book. "A distinguishing character of the book is the thorough and succinct handling of the various topics," remarked the Powell's Books commentator.

As in his earlier book, Lefebvre provides detailed technical background and practical examples for students in Applied Stochastic Processes. The book covers probability theory in depth, and offers instruction on effectively applying it to everyday problems that are found in fields such as biology, engineering, and management science. Geared for graduate students and practicing professionals, the book includes many tables, illustrative figures, thoroughly worked proofs, and other useful materials. Lefebvre covers critical concepts in stochastic processes, such as Gaussian and Markov processes, Markov chains, Brownian motion, Poisson processes, renewal processes, and other subjects. More than 350 detailed problems allow students and readers to explore and work with the ideas and material presented throughout the text, providing reinforcement of both concepts and applications. Lefebvre also includes brief biographies of important figures in the history of stochastic processes and associated areas of mathematics. The book offers technical training and background material for advanced students in areas such as business administration, finance, applied mathematics, operations research, and engineering.