Data analysis and statistics: an expository overview

Data analysis is not a new subject. It has accompanied productive experimentation and observation for hundreds of years. At times, as in the work of Kepler, it has produced dramatic results.

[1]  D. Cox,et al.  An Analysis of Transformations , 1964 .

[2]  R N SHEPARD,et al.  Analysis of Proximities as a Technique for the Study of Information Processing in Man1 , 1963, Human factors.

[3]  R. Gnanadesikan,et al.  Probability plotting methods for the analysis of data. , 1968, Biometrika.

[4]  J. Kruskal.  Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis , 1964 .

[5]  R. Luce,et al.  Simultaneous conjoint measurement: A new type of fundamental measurement , 1964 .

[6]  R. Shepard.  The analysis of proximities: Multidimensional scaling with an unknown distance function. II , 1962 .

[7]  Robert G. Miller.  Statistical prediction by discriminant analysis , 1962 .

[8]  T. C. CHAMBERLIN.  The Method of Multiple Working Hypotheses , 1931, The Journal of Geology.

[9]  F. J. Anscombe,et al.  The Examination and Analysis of Residuals , 1963 .

[10]  Norman J. Macdonald,et al.  The prediction of geomagnetic disturbance indices: 1. The elimination of internally predictable variations , 1963 .

[11]  E. S. Pearson.  Some Aspects of the Geometry of Statistics: The Use of Visual Presentation in Understanding the Theory and Application of Mathematical Statistics , 1956 .

[12]  A. Beaton.  THE USE OF SPECIAL MATRIX OPERATORS IN STATISTICAL CALCULUS , 1964 .

[13]  C. Daniel.  Use of Half-Normal Plots in Interpreting Factorial Two-Level Experiments , 1959 .

[14]  T. C. Chamberlin.  The Method of Multiple Working Hypotheses , 1931, The Journal of Geology.

[15]  J. Kruskal.  Analysis of Factorial Experiments by Estimating Monotone Transformations of the Data , 1965 .

[16]  R. Shepard.  The analysis of proximities: Multidimensional scaling with an unknown distance function. I. , 1962 .