9780849303968 - Stochastic Geometry: Likelihood and Computation: 80 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) (7 resultados)

Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,800grams, ISBN:9780849303968.

Hardcover. Condición: Very Good. Very Good. Dust Jacket may NOT BE INCLUDED.CDs may be missing. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condición: new. Hardcover. Stochastic geometry involves the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis. Recent developments in computational statistical analysis, particularly Markov chain Monte Carlo, have enormously extended the range of feasible applications. Stochastic Geometry: Likelihood and Computation provides a coordinated collection of chapters on important aspects of the rapidly developing field of stochastic geometry, including: o a "crash-course" introduction to key stochastic geometry themeso considerations of geometric sampling bias issueso tesselationso shapeo random setso image analysiso spectacular advances in likelihood-based inference now available to stochastic geometry through the techniques of Markov chain Monte Carlo Stochastic geometry involves the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condición: Brand New. 1st edition. 408 pages. 9.50x6.50x0.75 inches. In Stock.

Hardcover. Condición: new. Hardcover. Stochastic geometry involves the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis. Recent developments in computational statistical analysis, particularly Markov chain Monte Carlo, have enormously extended the range of feasible applications. Stochastic Geometry: Likelihood and Computation provides a coordinated collection of chapters on important aspects of the rapidly developing field of stochastic geometry, including: o a "crash-course" introduction to key stochastic geometry themeso considerations of geometric sampling bias issueso tesselationso shapeo random setso image analysiso spectacular advances in likelihood-based inference now available to stochastic geometry through the techniques of Markov chain Monte Carlo Stochastic geometry involves the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condición: New. Stochastic geometry involves the study of random geometric structures. This work includes chapters on various aspects of stochastic geometry, including: an introduction to key stochastic geometry themes; tesselations; and the advances in likelihood-based inference available to stochastic geometry through the techniques of Markov chain Monte Carlo. Editor(s): Kendall, W. S.; Barndorff-Neilson, O.E.; Lieshout, M.N.M.Van. Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability. Num Pages: 408 pages, illustrations. BIC Classification: PBM; PBT; PBWL. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 166 x 242 x 30. Weight in Grams: 754. . 1998. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.

Condición: New. Stochastic geometry involves the study of random geometric structures. This work includes chapters on various aspects of stochastic geometry, including: an introduction to key stochastic geometry themes; tesselations; and the advances in likelihood-based inference available to stochastic geometry through the techniques of Markov chain Monte Carlo. Editor(s): Kendall, W. S.; Barndorff-Neilson, O.E.; Lieshout, M.N.M.Van. Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability. Num Pages: 408 pages, illustrations. BIC Classification: PBM; PBT; PBWL. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 166 x 242 x 30. Weight in Grams: 754. . 1998. 1st Edition. hardcover. . . . .