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Statistical Inference in Science
D. A. Sprott
€ 64.02
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Description for Statistical Inference in Science
Paperback. Series: Springer Series in Statistics. Num Pages: 264 pages, biography. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 14. Weight in Grams: 415.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2013
Publisher
Springer-Verlag New York Inc. United States
Number of pages
264
Condition
New
Series
Springer Series in Statistics
Number of Pages
248
Place of Publication
New York, NY, United States
ISBN
9781475773965
SKU
V9781475773965
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Statistical Inference in Science
"..the author builds an unconventional but rich and cohesive approach with applications to many of the standard problems considered in more traditional texts." E.L. Lehmann in "Short Book Reviews", Vol. 21/1, April 2001