Abstract
We previously noted the widespread occurrence in nature of the chi-square probability law. It was also found to describe the random behavior of the sample variance. Here we shall show how the chi-square law may be used to describe the state of “significance” of a set of data.
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References
A. Papoulis: Probability, Random Variables and Stochastic Processes (McGraw-Hill, New York 1965)
M. Abramowitz, I. A. Stegun (eds.): Handbook of Mathematical Functions (National Bureau of Standards, Washington, DC 1964)
F. B. Hildebrand: Introduction to Numerical Analysis (McGraw-Hill, New York 1956)
G. L. Wied, G. F. Bahr, P. H. Bartels: In Automated Cell Identification and Cell Sorting, ed. by G. L. Wied, G. F. Bahr (Academic, New York 1970) pp. 195–360
Additional Reading
Breiman, L.: Statistics: With a View Toward Applications (Houghton-Mifflin, Boston 1973)
Hogg, R. V., A. T. Craig: Introduction to Mathematical Statistics, 3rd ed. (Macmillan, London 1970)
Kendall, M. G., A. Stuart: The Advanced Theory of Statistics, Vol. 2 (Griffin, London 1969)
Mises, R. von: Mathematical Theory of Probability and Statistics (Academic, New York 1964)
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© 1991 Springer-Verlag Berlin Heidelberg
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Frieden, B.R. (1991). The Chi-Square Test of Significance. In: Probability, Statistical Optics, and Data Testing. Springer Series in Information Sciences, vol 10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-97289-8_11
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DOI: https://doi.org/10.1007/978-3-642-97289-8_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-53310-8
Online ISBN: 978-3-642-97289-8
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