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Zustand: New. First edition, first printing, 264 pp., Hardcover, new. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Zustand: New. pp. 268 Illus.

Ed. Academic Press, New-York and London - 1978, in-8, 126 pages Bon état - Pour les envois hors de France, la tafication «livre & brochure» pour les frais de port a disparue.Les frais de port annoncés correspondent à une moyenne. Ils seront calculés au plus juste en fonction du poids de votre article.

Hard Cover. Zustand: Fair. No Jacket. Ex-library with the usual features. The interior is clean. Binding is good. Cover is faded and wrinkled. 82 pages. Ex-Library.

Zustand: New. In.

Zustand: New. In.

Paperback. Zustand: Brand New. 264 pages. 9.25x6.10x0.61 inches. In Stock.

Zustand: New. Addresses a treatment of the problems of inference associated with experiments in science, with an emphasis on techniques for dividing the sample information into various parts, such that the diverse problems of inference that arise from repeatable experiments. This book is suitable for advanced undergraduate, Masters, and PhD statistics students. Series: Springer Series in Statistics. Num Pages: 264 pages, biography. BIC Classification: PBT; PDE; PDN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 15. Weight in Grams: 553. . 2000. Hardback. . . . . Books ship from the US and Ireland.

Gebunden. Zustand: New. A treatment of the problems of inference associated with experiments in science, with the emphasis on techniques for dividing the sample information into various parts, such that the diverse problems of inference that arise from repeatable experiments may b.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The aim of this book is to develop an understanding and treatment of the problems of inference associated with experiments in science. Many textbooks treat inference as principally the reduction of the sample information to estimates and their marginal distribution and supposedly optimal properties. In contrast, this book emphasizes techniques for dividing the sample information into various parts addressing the diverse problems of inference that arise from repeatable experiments. An unusually valuable feature of the book is the large number of practical examples, many of which use data taken from experiments published in various scientific journals. This book has evolved from the author's courses on statistical inference. It would be a suitable text book for advanced undergraduate, Masters, and Ph.D. statistics students. It can also be used as a reference book. A background knowledge of an introductory course in probability is assumed, including the calculation and manipulation of probability functions and density functions, transformation of variables and the use of Jacobians. The author is a Distinguished Professor Emeritus of Statistics, University of Waterloo, and Professor of Statistics, Centro de Investigaci=F3n en Matemáticas, Guanajuato, Mexico. He is an Honorary member of the Statistical Society of Canada and a recipient of the Society's Gold Medal for Research. He is also an elected member of the International Statistical Institute and a Fellow of the American Statistical Association, of the Institute of Mathematical Statistics, and of the Royal Society of Canada.

Hardcover. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less 2.08.

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.

Buch. Zustand: Neu. Neuware - The aim of this book is to develop an understanding and treatment of the problems of inference associated with experiments in science. Many textbooks treat inference as principally the reduction of the sample information to estimates and their marginal distribution and supposedly optimal properties. In contrast, this book emphasizes techniques for dividing the sample information into various parts addressing the diverse problems of inference that arise from repeatable experiments. An unusually valuable feature of the book is the large number of practical examples, many of which use data taken from experiments published in various scientific journals. This book has evolved from the author's courses on statistical inference. It would be a suitable text book for advanced undergraduate, Masters, and Ph.D. statistics students. It can also be used as a reference book. A background knowledge of an introductory course in probability is assumed, including the calculation and manipulation of probability functions and density functions, transformation of variables and the use of Jacobians. The author is a Distinguished Professor Emeritus of Statistics, University of Waterloo, and Professor of Statistics, Centro de Investigaci=F3n en Matemáticas, Guanajuato, Mexico. He is an Honorary member of the Statistical Society of Canada and a recipient of the Society's Gold Medal for Research. He is also an elected member of the International Statistical Institute and a Fellow of the American Statistical Association, of the Institute of Mathematical Statistics, and of the Royal Society of Canada.