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Smooth Regression Analysis
Geoffrey S. Watson
Sankhyā: The Indian Journal of Statistics, Series A (1961-2002)
Vol. 26, No. 4 (Dec., 1964), pp. 359-372
Published by: Indian Statistical Institute
Stable URL: http://www.jstor.org/stable/25049340
Page Count: 14
You can always find the topics here!Topics: Estimators, Mathematical functions, Data smoothing, Statistical estimation, Regression analysis, Density estimation, Statistics, Time series, Mathematical problems, Vertices
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Few would deny that the most powerful statistical tool is graph paper. When however there are many observations (and/or many variables) graphical procedures become tedious. It seems to the author that the most characteristic problem for statisticians at the moment is the development of methods for analyzing the data poured out by electronic observing systems. The present paper gives a simple computer method for obtaining a "graph" from a large number of observations.
Sankhyā: The Indian Journal of Statistics, Series A (1961-2002) © 1964 Indian Statistical Institute