| Dewey Class |
510.9 |
| Titel |
R.A. Fisher: An Appreciation ([EBook] /) / edited by Stephen E. Fienberg, David V. Hinkley. |
| Added Personal Name |
Fienberg, Stephen E. editor. |
| Hinkley, David V. editor. |
| Other name(s) |
SpringerLink (Online service) |
| Veröffentl |
New York, NY : : Springer New York, , 1980. |
| Physical Details |
XI, 208 p. : online resource. |
| Reihe |
Lecture Notes in Statistics 0930-0325 ; ; 1 |
| ISBN |
9781461260790 |
| Summary Note |
From the reviews: "This collection of essays surveys the most important of Fisher's papers in various areas of statistics. ... ... the monograph will be a useful source of reference to most of Fisher's major papers; it will certainly provide background material for much vigorous discussion." #Australian Journal of Statistics#1.: |
| Contents note |
R. A. Fisher: Some Introductory Remarks -- Fisher: The Early Years -- Distribution of the Correlation Coefficient -- Fisher and the Analysis of Variance -- Randomization and Design: I -- Randomization and Design: II -- Basic Theory of the 1922 Mathematical Statistics Paper -- Fisher and the Method of Moments -- Fisher’s Contributions to the Analysis of Categorical Data -- Theory of Statistical Estimation: The 1925 Paper -- Some Numerical Illustrations of Fisher’s Theory of Statistical Estimation -- Fisher’s Development of Conditional Inference -- Fiducial Inference -- The Behrens-Fisher and Fieller-Creasy Problems -- Fisher, Jeffreys, and the Nature of Probability -- Discriminant Analysis -- Distribution on the Sphere -- Smoking and Lung Cancer -- Appendix: Publications of R.A. Fisher. |
| System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users) |
| Internet Site |
http://dx.doi.org/10.1007/978-1-4612-6079-0 |
| LINKS ZU 'VERWANDTEN WERKEN |
Schlagwörter: .
Applications of Mathematics .
Applied mathematics .
Engineering mathematics .
History .
History of Mathematical Sciences .
Mathematics .
Probabilities .
Probability theory and stochastic processes .
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