Background
Bloomfield, Peter was born on March 25, 1946 in Farnborough, Hampshire, England. Son of William John and Margaret Bessie Bloomfield. came to the United States, 1971.
(A new, revised edition of a yet unrivaled work on frequen...)
A new, revised edition of a yet unrivaled work on frequency domain analysis Long recognized for his unique focus on frequency domain methods for the analysis of time series data as well as for his applied, easy-to-understand approach, Peter Bloomfield brings his well-known 1976 work thoroughly up to date. With a minimum of mathematics and an engaging, highly rewarding style, Bloomfield provides in-depth discussions of harmonic regression, harmonic analysis, complex demodulation, and spectrum analysis. All methods are clearly illustrated using examples of specific data sets, while ample exercises acquaint readers with Fourier analysis and its applications. The Second Edition: • Devotes an entire chapter to complex demodulation • Treats harmonic regression in two separate chapters • Features a more succinct discussion of the fast Fourier transform • Uses S-PLUS commands (replacing FORTRAN) to accommodate programming needs and graphic flexibility • Includes Web addresses for all time series data used in the examples An invaluable reference for statisticians seeking to expand their understanding of frequency domain methods, Fourier Analysis of Time Series, Second Edition also provides easy access to sophisticated statistical tools for scientists and professionals in such areas as atmospheric science, oceanography, climatology, and biology.
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(Least squares is probably the best known method for fitti...)
Least squares is probably the best known method for fitting linear models and by far the most widely used. Surprisingly, the discrete L 1 analogue, least absolute deviations (LAD) seems to have been considered first. Possibly the LAD criterion was forced into the background because of the com putational difficulties associated with it. Recently there has been a resurgence of interest in LAD. It was spurred on by work that has resulted in efficient al gorithms for obtaining LAD fits. Another stimulus came from robust statistics. LAD estimates resist undue effects from a feyv, large errors. Therefore. in addition to being robust, they also make good starting points for other iterative, robust procedures. The LAD criterion has great utility. LAD fits are optimal for linear regressions where the errors are double exponential. However they also have excellent properties well outside this narrow context. In addition they are useful in other linear situations such as time series and multivariate data analysis. Finally, LAD fitting embodies a set of ideas that is important in linear optimization theory and numerical analysis. viii PREFACE In this monograph we will present a unified treatment of the role of LAD techniques in several domains. Some of the material has appeared in recent journal papers and some of it is new. This presentation is organized in the following way. There are three parts, one for Theory, one for Applicatior.s and one for Algorithms.
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(Will be shipped from US. Brand new copy.)
Will be shipped from US. Brand new copy.
http://www.amazon.com/gp/product/B01A0BJU7W/?tag=2022091-20
Bloomfield, Peter was born on March 25, 1946 in Farnborough, Hampshire, England. Son of William John and Margaret Bessie Bloomfield. came to the United States, 1971.
Bachelor of Science, U. London, 1967; Doctor of Philosophy, U. London, 1970.
Assistant lecturer department mathematics, Imperial College, London, 1969-1970; lecturer, Imperial College, London, 1970-1971; assistant professor department statistics, Princeton (New Jersey) U., 1971-1975; associate professor, Princeton (New Jersey) U., 1975-1979; professor, Princeton (New Jersey) U., 1979-1983; professor department statistics, North Carolina State University, Raleigh, since 1983. Director Debt Markets Group Merrill Lynch, New York City, 1994-1996, 98-.
(A new, revised edition of a yet unrivaled work on frequen...)
( Long recognized for his unique focus on frequency domai...)
(Least squares is probably the best known method for fitti...)
(Will be shipped from US. Brand new copy.)
Fellow Institute Mathematics Statistics, Royal Statistical Society, American Statistical Association.
Married Christine Bellis, June 27, 1969 (divorced December 1982). Children: David, Gareth. Married Diana Lee Hooper, July 11, 1986.
1 child, Annalee Hooper.