Accession Number : AD0467119

Title :   SMOOTH REGRESSION ANALYSIS,

Corporate Author : JOHNS HOPKINS UNIV BALTIMORE MD

Personal Author(s) : Watson, Geoffrey S.

Report Date : 1964

Pagination or Media Count : 15

Abstract : Few would deny that 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 analysing 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. (Author)

Descriptors :   (*GRAPHICS, NUMERICAL ANALYSIS), (*NUMERICAL ANALYSIS, COMPUTERS), PROBABILITY, DENSITY, FOURIER ANALYSIS, LEAST SQUARES METHOD, BIOLOGY, INTEGRAL TRANSFORMS.

Distribution Statement : APPROVED FOR PUBLIC RELEASE