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Synopsis
This book is a guide to the practical application of statistics to data analysis in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclusions from experimental data. Although most of the examples are taken from particle physics, the material is presented in a sufficiently general way as to be useful to people from most branches of the physical sciences. The first part of the book describes the basic tools of data analysis: concepts of probability and random variables, Monte Carlo techniques, statistical tests, and methods of parameter estimation. The last three chapters then develop more advanced statistical ideas, focusing on interval estimation, characteristic functions, and correcting distributions for the effects of measurement errors (unfolding).
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About the Author
Dr Glen D. Cowan, CERN, PPE Division, CH-1211 Geneva 23, Switzerland, Tel: +41 22 767 6539, Fax: +41 22 767 9425, Email: glen.cowan@cern.ch Glen Cowan received his Ph.D. in physics in 1988 from the University of California, Berkeley, after completing his thesis work on particle production in high energy electron-positron collisions. From there he moved to Europe, and has held positions at the Max Planck Institute in Munich and the University of Siegen, Germany. For most of this time, he has been based at the European Organisation for Nuclear Research (CERN) in Geneva. He is a member of the ALEPH experiment at the electron positron collider LEP.
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Statistical Data Analysis (Oxford Science Publications)
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Clarendon Press (edition ), 1998
ISBN 10: 0198501560
ISBN 13: 9780198501565
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Statistical Data Analysis (Hardcover)
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Oxford University Press, Oxford, 1998
ISBN 10: 0198501560
ISBN 13: 9780198501565
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Hardcover. Condition: new. Hardcover. This book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclusions from experimental data. Although most of the examples are taken from particle physics, the material is presented in a sufficiently general way as to be useful to people from most branches of the physical sciences. The first part of the bookdescribes the basic tools of data analysis: concepts of probability and random variables, Monte Carlo techniques, statistical tests, and methods of parameter estimation. The last three chapters aresomewhat more specialized than those preceding, covering interval estimation, characteristic functions, and the problem of correcting distributions for the effects of measurement errors (unfolding). The book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. It is primarily addressed at students and researchers who work with experimental data. The topics include probability, random variables, Monte Carlo techniques, statistical tests, parameter estimation, and unfolding methods. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9780198501565
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Statistical Data Analysis (Oxford Science Publications)
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Condition: New. Serves as a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. This book is addressed at students and researchers who work with experimental data. The topics include probability, random variables, Monte Carlo techniques, statistical tests, parameter estimation, and more. Num Pages: 212 pages, line figures, tables. BIC Classification: PBT; PDN; PHN; PHP. Category: (U) Tertiary Education (US: College). Dimension: 242 x 163 x 18. Weight in Grams: 462. . 1998. Illustrated. hardcover. . . . . Seller Inventory # V9780198501565
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Statistical Data Analysis (eng)
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Statistical Data Analysis (Oxford Science Publications)
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Condition: New. Serves as a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. This book is addressed at students and researchers who work with experimental data. The topics include probability, random variables, Monte Carlo techniques, statistical tests, parameter estimation, and more. Num Pages: 212 pages, line figures, tables. BIC Classification: PBT; PDN; PHN; PHP. Category: (U) Tertiary Education (US: College). Dimension: 242 x 163 x 18. Weight in Grams: 462. . 1998. Illustrated. hardcover. . . . . Books ship from the US and Ireland. Seller Inventory # V9780198501565
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Statistical Data Analysis (Hardcover)
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Oxford University Press, Oxford, 1998
ISBN 10: 0198501560
ISBN 13: 9780198501565
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Hardcover. Condition: new. Hardcover. This book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclusions from experimental data. Although most of the examples are taken from particle physics, the material is presented in a sufficiently general way as to be useful to people from most branches of the physical sciences. The first part of the bookdescribes the basic tools of data analysis: concepts of probability and random variables, Monte Carlo techniques, statistical tests, and methods of parameter estimation. The last three chapters aresomewhat more specialized than those preceding, covering interval estimation, characteristic functions, and the problem of correcting distributions for the effects of measurement errors (unfolding). The book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. It is primarily addressed at students and researchers who work with experimental data. The topics include probability, random variables, Monte Carlo techniques, statistical tests, parameter estimation, and unfolding methods. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780198501565
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Statistical Data Analysis
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