Kendall wilfrid s (33 resultados)

Hardcover. Condición: Very Good. text clean and unmarked. binding tight. boards have very light wear. edges of pages have very light wear.

Hardcover. Condición: New. (inventory#cargill).

Hardcover. Condición: Fair. No Jacket. 2nd Edition. Octavo in blue, paper-covered boards. Diagrams. Condition: ex-library copy with markings & some damage to bottom of spine from removed label; lacks title page; else fair. 436 pages.

hardcover. Condición: Very Good.

hardcover. Condición: Fine.

No binding. Condición: Good. Book in Good condition.

Condición: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Cloth. Condición: Good. Estado de la sobrecubierta: Good. Second Edition. Type: Book Small plain label inside cover.

Condición: As New. Unread book in perfect condition.

Condición: New. In English.

Condición: New. pp. 570.

Condición: New.

Condición: New. pp. 570 Indices 3rd Edition.

Hardcover. Condición: Brand New. 3rd edition. 544 pages. 9.69x6.85x1.26 inches. In Stock.

Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

Hardcover. Condición: Like New. LIKE NEW. 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.…

Gebunden. Condición: New. O.E. Barndorff-Nielsen Professor of Theoretical Statistics Institute of Mathematics Aarhus Denmark. W.S. Kendall Professor of Statistics University of Warwick UK and M.N.M. van Lieshout Centre for Science and Information (CWI) Amsterdam The Netherlands.

Hardcover. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

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

345 pp. Publisher's cloth, dust-jacket. A very good copy.

Buch. Condición: Neu. Neuware - 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.…

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. . . . .…

Hardcover. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condición: Brand New. 3rd edition. 544 pages. 9.69x6.85x1.26 inches. In Stock. This item is printed on demand.