Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions (Springer Series in Statistics) by Martin A. Tanner - 1996-06-26

Springer New York, 1998. Hardcover. Good. Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.Dust jacket quality is not guaranteed.

Springer New York. Used - Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

hardcover. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.

Springer Verlag, 1996. 207pp, yellow hardback, VG, one inch scrape along the lower inside edge of the front cover, figures, equations, references, subject index, practice exercises at the end of each chapter, "introduction to a variety of computational algorithms for Bayesian and likelihood inference". Hard Cover. Very Good.

London: Springer, 1993. This book is part of a large purchase from a Public Sector Library and except where mentioned are for the most part LIKE NEW! MOSTLY the ONLY flaws are the blacked out (they insisted) Library stamps which show many of them to be UNUSED! FEEL FREE TO E-MAIL FOR PHOTOGRAPHS AND FURTHER DETAILS. FROM A DEALER WHO TELLS YOU WHO THEY ARE AND WHAT THEIR TELEPHONE AND ADDRESS CONTACT DETAILS ARE!. EX PUBLIC SECTOR LIBRARY BLACKED OUT STAMPS.. Third Edition. Yellow Hardback. Fine ( AS NEW)/No Jacket. Illus. by Graphs. 8vo - over 7¾" - 9¾". HARDBACK.

Springer, 1996-06-26. Hardcover. Like New. 0.7874 9.2913 6.2992. Hardcover. No noticeable cover wear. Clean unmarked text. Tight binding.

Springer, 1996-06-26. Hardcover. New. New. In shrink wrap. Looks like an interesting title!

Hard Cover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The Tools for Statistical Inference : Methods for the Exploration of Posterior Distributions and Likelihood Functions.

Hardback. New. A unified introduction to a variety of computational algorithms for likelihood and Bayesian inference. This third edition expands the discussion of many of the techniques presented, and includes additional examples as well as exercise sets at the end of each chapter.