Published June 1995 | Version v1
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Comparing statistical data to Monte Carlo simulation - parameter fitting and unfolding

Creators

  • 1. Siegen Univ. (Gesamthochschule) (Germany). Fachbereich 7 - Physik

Description

The author presents an introduction to the statistical analysis of experimental data by means of Monte Carlo simulations. After a description of the χ2 test of a hypothesis the least-square and maximum-likelihood fits to Monte Carlo distributions are described. Then unfolding is described. Finally confidence intervals are studied, and the computation of upper and lower limits is discussed from a Bayesian point of view. (HSI)

Availability note (English)

MF available from INIS under the Report Number.

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Additional details

Publishing Information

Imprint Pagination
81 p.
ISSN
0418-9833
Report number
DESY--95-113

INIS

Country of Publication
Germany
Country of Input or Organization
Germany
INIS RN
27006308
Subject category
S99: GENERAL AND MISCELLANEOUS;
Resource subtype / Literary indicator
Progress Report
Descriptors DEI
COMPUTERIZED SIMULATION; DISTRIBUTION FUNCTIONS; LEAST SQUARE FIT; LECTURES; LIMITING VALUES; MONTE CARLO METHOD; PROGRESS REPORT; SPECTRA UNFOLDING; STATISTICS
Descriptors DEC
CALCULATION METHODS; DATA PROCESSING; DOCUMENT TYPES; MATHEMATICS; MAXIMUM-LIKELIHOOD FIT; NUMERICAL SOLUTION; SIMULATION