Samuel D. Silvey
#217,999
Most Influential Person Across History
Statistician
Samuel D. Silvey's AcademicInfluence.com Rankings
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Mathematics
Samuel D. Silvey's Degrees
- PhD Statistics Stanford University
- Masters Statistics University of California, Berkeley
- Bachelors Mathematics University of California, Berkeley
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Why Is Samuel D. Silvey Influential?
(Suggest an Edit or Addition)According to Wikipedia, Samuel David Silvey was a British statistician. Among his contributions are the Lagrange multiplier test, and the use of eigenvalues of the moment matrix for the detection of multicollinearity.
Samuel D. Silvey's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- A General Class of Coefficients of Divergence of One Distribution from Another (1966) (1310)
- Maximum-Likelihood Estimation of Parameters Subject to Restraints (1958) (596)
- The Lagrangian Multiplier Test (1959) (421)
- THE GENERALIZATION OF PROBIT ANALYSIS TO THE CASE OF MULTIPLE RESPONSES (1957) (357)
- Optimal Design: An Introduction to the Theory for Parameter Estimation (1980) (225)
- Multicollinearity and Imprecise Estimation (1969) (209)
- An algorithm for optimal designs on a design space (1978) (114)
- A sequentially constructed design for estimating a nonlinear parametric function (1980) (108)
- Maximum-Likelihood Estimation Procedures and Associated Tests of Significance (1960) (103)
- A geometric approach to optimal design theory (1973) (102)
- Probability and Statistical Inference (1978) (81)
- On Testing More than One Hypothesis (1963) (68)
- A Note on Maximum‐Likelihood in the Case of Dependent Random Variables (1961) (59)
- Optimal design measures with singular information matrices (1978) (44)
- Optimal regression designs with previous observations (1970) (41)
- On a Measure of Association (1964) (25)
- Association between Random Variables and the Dispersion of a Radon–Nikodym Derivative (1965) (19)
- Optimal designs in regression problems with a general convex loss function. (1968) (14)
- A Lagrangian approach to optimal design (1974) (13)
- The Asymptotic Distributions of Statistics arising in Certain Non-Parametric Tests (1954) (11)
- The Lindisfarne Scribes' Problem (1958) (10)
- Distribution Theory for Tests Based on the Sample Distribution Function. (1974) (8)
- A Further Result on the Relevance of the Dispersion of a Radon-Nikodym Derivative to the Problem of Measuring Association (1965) (7)
- The Equivalence of Asymptotic Distributions under Randomisation and Normal Theories (1953) (4)
- A Problem associated with a Particular Markov Chain (1954) (2)
- Collected Papers. Contributions to Mathematical Statistics (1969) (2)
- Hypothesis-Testing Problems with the Alternative Restricted by a Number of Inequalities. (1967) (2)
- T. W. Anderson, Introduction to Multivariate Statistical Analysis , (John Wiley a Sons), 374 pp., £5. (1959) (1)
- Non-Linear Problems (1980) (0)
- A Contribution to the Theory of Non-Parametric Statistical Inference: The Asymptotic Equivalence of Distributions Based on Normal Theory and on Randomisation Theory, and an Additional Paper on Fisher's Logarithmic Distribution (1953) (0)
- B. L. van der Waerden, Mathematical Statistics (George Allen & Unwin Ltd., 1969), xi+367 pp., £7, 7s. (1971) (0)
- Paruchuri K. Krishnaiah (Editor), Multivariate Analysis (Academic Press, 1966), xix + 592 pp., 156s. (1968) (0)
- Entropoy for Everybody (1969) (0)
- Approximate Theory for Linear Regression Design (1980) (0)
- D. V. Lindley, Introduction to Probability and Statistics from a Bayesian Viewpoint (Cambridge University Press, 1965), Vol. I, xii+260 pp. 40s.; Vol. II, xiv+292 pp. 45s. (1967) (0)
- S. N. Roy, Some Aspects of Multivariate Analysis (John Wiley & Sons), 214 pp., £3, 4s. (1959) (0)
- Approximate Theory—Particular Criteria (1980) (0)
- Problems and Solutions in Theoretical Statistics (1979) (0)
- J.G. Kemeny and J . L. Snell, Finite Markov Chains (D. van Nostrand Co. Ltd., London, 1960), 210 pp., 37s.6d. (1960) (0)
- H. Cramér, Random Variables and Probability Distributions (Third Edition, Cambridge University Press, 1970), vi+118 pp. (1971) (0)
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