ISBN: 9780935702101 - an introduction to error analysis: the study of uncertainties in physical measurements (13 Ergebnisse)

Paperback. Zustand: Fair. Second 2nd Edition. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

Paperback. Zustand: Good. This remarkable text by John R. Taylor has been a non-stop best-selling international hit since it was first published forty years ago. However, the two-plus decades since the second edition was released have seen two dramatic developments; the huge rise in popularity of Bayesian statistics, and the continued increase in the power and availability of computers and calculators. In response to the former, Taylor has added a full chapter dedicated to Bayesian thinking, introducing conditional probabilities and Bayes' theorem. The several examples presented in the new third edition are intentionally very simple, designed to give readers a clear understanding of what Bayesian statistics is all about as their first step on a journey to become practicing Bayesians. In response to the second development, Taylor has added a number of chapter-ending problems that will encourage readers to learn how to solve problems using computers. While many of these can be solved using programs such as Matlab or Mathematica, almost all of them are stated to apply to commonly available spreadsheet programs like Microsoft Excel. These programs provide a convenient way to record and process data and to calculate quantities like standard deviations, correlation coefficients, and normal distributions; they also have the wonderful ability - if students construct their own spreadsheets and avoid the temptation to use built-in functions - to teach the meaning of these concepts.…

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Good. This remarkable text by John R. Taylor has been a non-stop best-selling international hit since it was first published forty years ago. However, the two-plus decades since the second edition was released have seen two dramatic developments; the huge rise in popularity of Bayesian statistics, and the continued increase in the power and availability of computers and calculators. In response to the former, Taylor has added a full chapter dedicated to Bayesian thinking, introducing conditional probabilities and Bayes' theorem. The several examples presented in the new third edition are intentionally very simple, designed to give readers a clear understanding of what Bayesian statistics is all about as their first step on a journey to become practicing Bayesians. In response to the second development, Taylor has added a number of chapter-ending problems that will encourage readers to learn how to solve problems using computers. While many of these can be solved using programs such as Matlab or Mathematica, almost all of them are stated to apply to commonly available spreadsheet programs like Microsoft Excel. These programs provide a convenient way to record and process data and to calculate quantities like standard deviations, correlation coefficients, and normal distributions; they also have the wonderful ability - if students construct their own spreadsheets and avoid the temptation to use built-in functions - to teach the meaning of these concepts.…

Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: good. Any images shown are stock photographs. The actual item may differ from the image displayed. Good used condition. Dust Jacket included, minor cosmetic imperfections may be present from normal use. The spine may show light wear. Some copies may contain limited notes or highlighting. Pages are complete and the binding is intact. Access codes, CDs, DVDs, and other supplemental materials are not guaranteed. If you would like to confirm the exact condition of this copy before purchasing, please feel free to contact us for photos. …

Softcover. Zustand: Very Good. No Jacket. First Edition. "Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements" by John Taylor is presented in a First Edition with cream-color softcovers, 2nd printing, and is in Very Good- condition. The covers display minimal wear, with only light curling to the lower corners and a single crease down the spine.Despite minor abrasion noted on the half-title page, the interior pages are clean and unmarked, ensuring readability and usability. The book will be meticulously packaged for shipment to safeguard it from any potential damage during transit.Rest assured, a USPS electronic tracking number will be issued free of charge for convenient monitoring of the shipment. For further information or additional pictures regarding the book, please feel free to contact the seller. …

Paperback. Zustand: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

paperback. Zustand: As New. Used softcover like new. Clean, sharp serviceable copy. This title is from the personal effects of former JPL/NASA Exoplanet Exploration Chief Scientist, Dr. Wesley A. Traub. The book may have very minor marginal annotations or a neat ownership name on a preliminary page indicating his ownership.…

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Soft Cover. Zustand: Book good. 270 pp. Index.

Soft cover. Zustand: Good. Publisher: University Science Books, 1982, Good, Soft Cover, ISBN: 0-935702-10-5, cover wear, 3-5 pp. HIGHLIGHTING. Book.

paperback. Zustand: New. In shrink wrap. Looks like an interesting title.