Abstract
Statistical methods are used for solving a wide variety of problems in natural sciences and other fields. Statistics provides an important guidance in description and interpretation of collected data. Based on results of such interpretation, one can discover patterns in data, determine what theoretical models can describe data and what predictions can be made to predict future events, or to find connections between seemingly independent events or trends.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Sunspots are relatively dark areas on the surface (photosphere) of the Sun.
References
jMathTool Java Libraries. http://jmathtools.berlios.de
Ziliak S, McCloskey D (2009) The cult of statistical significance. University of Michigan Press, USA
Cousins RD, Highland LH (1992) Nucl Instrum Methods A320:331
Sinervo PK (1992) Proceedings of the conference “Advanced Statistical Techniques in Particle Physics”, Durham, England. arXiv:hep-ex/0208005. Accessed 18–22 March 2002
Read AL (2002) Presentation of search results: the CLs technique. J Phys G: Nucl Part Phys 28(10):2693. http://stacks.iop.org/0954-3899/28/i=10/a=313
Barlow R (2002) A calculator for confidence intervals. Comput Phys Commun 149(2):97–102
Cousins R, Highland V (1992) Nucl Instrum Methods A320:331
Stuart A, Ord K, Arnold S (1999) Classical inference and the linear model. Kendall’s advanced theory of statistics.Arnold, London
Junk T (1999) Confidence level computation for combining searches with small statistics. Nucl Instrum Methods A434:435–443
ATLAS (2013) Invariant-mass distribution of diphoton candidates after all selections of the inclusive analysis for the combined 7 TeV and 8 TeV data, ATLAS-PHO-EVENTS-2013-001. Released under the CC-BY-SA-4.0 license. http://cds.cern.ch/record/1605822/
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Chekanov, S.V. (2016). Probability and Statistics. In: Numeric Computation and Statistical Data Analysis on the Java Platform. Advanced Information and Knowledge Processing. Springer, Cham. https://doi.org/10.1007/978-3-319-28531-3_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-28531-3_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-28529-0
Online ISBN: 978-3-319-28531-3
eBook Packages: Computer ScienceComputer Science (R0)