Probability and statistics for particle physics / (Record no. 15492)

MARC details
000 -LEADER
fixed length control field 02005 a2200253 4500
001 - CONTROL NUMBER
control field 11491
003 - CONTROL NUMBER IDENTIFIER
control field IN-BhIIT
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260527174502.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 260508b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319557373(hbk.)
040 ## - CATALOGING SOURCE
Original cataloging agency IN-BhIIT
041 ## - LANGUAGE CODE
Language code of text eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 530.15
Book number MAN/P
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Mana, Carlos
Relator term Author
245 ## - TITLE STATEMENT
Title Probability and statistics for particle physics /
Statement of responsibility, etc Carlos Mana.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Switzerland :
Name of publisher Springer,
Year of publication 2017.
300 ## - PHYSICAL DESCRIPTION
Number of Pages x, 244 p. :
Other physical details(ill.) ill. ;
Dimensions(size) 22 cm.
490 ## - SERIES STATEMENT
Series statement UNITEXT for physics
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc This book comprehensively presents the basic concepts of probability and Bayesian inference with sufficient generality to make them applicable to current problems in scientific research. The first chapter provides the fundamentals of probability theory that are essential for the analysis of random phenomena. The second chapter includes a full and pragmatic review of the Bayesian methods that constitute a natural and coherent framework with enough freedom to analyze all the information available from experimental data in a conceptually simple manner. The third chapter presents the basic Monte Carlo techniques used in scientific research, allowing a large variety of problems to be handled difficult to tackle by other procedures. The author also introduces a basic algorithm, which enables readers to simulate samples from simple distribution, and describes useful cases for researchers in particle physics.The final chapter is devoted to the basic ideas of Information Theory, which are important in the Bayesian methodology.<br/><br/>This highly readable book is appropriate for graduate-level courses, while at the same time being useful for scientific researches in general and for physicists in particular since most of the examples are from the field of Particle Physics.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Physics
Topical Term Particle physics
General subdivision Statistical methods
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Technical Reference Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Cost, replacement price Price effective from Koha item type
Not withdrawn Not Lost not damaged   SBS Central Library, IIT Bhubaneswar Central Library, IIT Bhubaneswar 23/03/2026 53 6213.57 530.15 MAN/P 11491 8511.74 23/03/2026 Technical Reference Book

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