Probability and Statistics in Experimental Physics

Name: Probability and Statistics in Experimental Physics
Price: 29.43 USD
Availability: InStock
ISBN: 9780387951638

ISBN-10: 0387951636

ISBN-13: 9780387951638

Edition: 2nd 2001 (Revised)

Authors: Byron P. Roe

List price: $54.99

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Description:

Intended for advanced undergraduates and graduate students, this book is a practical guide to the use of probability and statistics in experimental physics. The emphasis is on applications and understanding, on theorems and techniques actually used in research. The text is not a comprehensive text in probability and statistics; proofs are sometimes omitted if they do not contribute to intuition in understanding the theorem. The problems, some with worked solutions, introduce the student to the use of computers; occasional reference is made to routines available in the CERN library, but other systems, such as Maple, can also be used.Topics covered include: basic concepts; definitions; some…

Book details

List price: $54.99
Edition: 2nd
Copyright year: 2001
Publisher: Springer New York
Publication date: 6/21/2001
Binding: Hardcover
Pages: 252
Size: 6.14" wide x 9.21" long x 0.25" tall
Weight: 2.684
Language: English



Preface



Basic Probability Concepts



Some Initial Definitions



Some Results Independent of Specific Distributions



Discrete Distributions and Combinatorials



Specific Discrete Distributions



The Normal (or Gaussian) Distribution and Other Continuous Distributions



Generating Functions and Characteristic Functions



The Monte Carlo Method: Computer Simulation of Experiments



Queueing Theory and Other Probability Questions



Two-Dimensional and Multidimensional Distributions



The Central Limit Theorem



Inverse Probability; Confidence Limits



Methods for Estimating Parameters. Least Squares and Maximum Likelihood



Curve Fitting



Bartlett S Function; Estimating Likelihood Ratios Needed for an Experiment



Interpolating Functions and Unfolding Problems



Fitting Data with Correlations and Constraints



Beyond Maximum Likelihood and Least Squares; Robust Methods


References


Index