Erich Leo Lehmann | Academic Influence

Erich Leo Lehmann's AcademicInfluence.com Rankings

Erich Leo Lehmann

Mathematics

#514

World Rank

#1004

Historical Rank

#233

USA Rank

Statistics

#13

World Rank

#19

Historical Rank

#8

USA Rank

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Mathematics

Erich Leo Lehmann's Degrees

PhD Statistics University of California, Berkeley
Masters Mathematics University of California, Berkeley
Bachelors Mathematics University of California, Berkeley

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Why Is Erich Leo Lehmann Influential?

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According to Wikipedia, Erich Leo Lehmann was a German-born American statistician, who made a major contribution to nonparametric hypothesis testing. He is one of the eponyms of the Lehmann–Scheffé theorem and of the Hodges–Lehmann estimator of the median of a population.

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Erich Leo Lehmann'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

Theory of point estimation (1950) (6027)
Nonparametrics: Statistical Methods Based on Ranks (1976) (2477)
Some Concepts of Dependence (1966) (1769)
Elements of large-sample theory (1998) (1183)
Estimates of Location Based on Rank Tests (1963) (1092)
Testing Statistical Hypothesis. (1960) (638)
The Use of Maximum Likelihood Estimates in {\chi^2} Tests for Goodness of Fit (1954) (540)
The Efficiency of Some Nonparametric Competitors of the t-Test (1956) (523)
The Power of Rank Tests (1953) (484)
Rank Methods for Combination of Independent Experiments in Analysis of Variance (1962) (449)
Ordered Families of Distributions (1955) (409)
Error and the Growth of Experimental Knowledge (1996) (393)
Generalizations of the familywise error rate (2005) (393)
Consistency and Unbiasedness of Certain Nonparametric Tests (1951) (391)
The Fisher, Neyman-Pearson Theories of Testing Hypotheses: One Theory or Two? (1993) (336)
Comparing Location Experiments (1988) (251)
DESCRIPTIVE STATISTICS FOR NONPARAMETRIC MODELS IV. SPREAD (1979) (250)
Descriptive Statistics for Nonparametric Models. III. Dispersion (1976) (222)
The use of Previous Experience in Reaching Statistical Decisions (1952) (212)
Basic Concepts of Probability and Statistics (1964) (209)
Testing Statistical Hypotheses (1960) (188)
Testing Statistical Hypotheses, Third Edition (2008) (184)
Completeness, Similar Regions, and Unbiased Estimation—Part II (2012) (165)
Testing the Approximate Validity of Statistical Hypotheses (1954) (160)
Descriptive Statistics for Nonparametric Models II. Location (1975) (153)
Nonparametric Confidence Intervals for a Shift Parameter (1963) (153)
Model Specification: The Views of Fisher and Neyman, and Later Developments (1990) (147)
A Theory of Some Multiple Decision Problems. II (1957) (144)
A General Concept of Unbiasedness (1951) (142)
Robust Estimation in Analysis of Variance (1963) (116)
On the Theory of Some Non-Parametric Hypotheses (1949) (115)
Some Problems in Minimax Point Estimation (1950) (112)
Some Principles of the Theory of Testing Hypotheses (1950) (106)
Fisher, Neyman, and the Creation of Classical Statistics (2011) (98)
Descriptive Statistics for Nonparametric Models I. Introduction (1975) (96)
Testing Multiparameter Hypotheses (1952) (87)
Comparison of the Normal Scores and Wilcoxon Tests (1961) (70)
Significance Level and Power (1958) (69)
SOME MODEL I PROBLEMS OF SELECTION (1961) (64)
Most Powerful Tests of Composite Hypotheses. I. Normal Distributions (1948) (60)
Two Approximations to the Robbins-Monro Process (1956) (54)
On optimality of stepdown and stepup multiple test procedures (2005) (50)
A class of selection procedures based on ranks (1963) (49)
On a Theorem of Bahadur and Goodman (1966) (49)
Parametric versus nonparametrics: two alternative methodologies (2009) (46)
On likelihood ratio tests (2006) (45)
Invariant Directional Orderings (1992) (43)
Completeness In The Sequential Case (1950) (40)
On Medians and Quasi Medians (1967) (37)
An Interpretation of Completeness and Basu's Theorem (1981) (36)
Asymptotically Nonparametric Inference in some Linear Models with One Observation per Cell (1964) (33)
Asymptotically Nonparametric Inference: An Alternative Approach to Linear Models (1963) (32)
Reminiscences of a Statistician: The Company I Kept (2007) (30)
Selected Papers in Statistics and Probability. (1955) (28)
On a Fundamental Theorem in Multiple Comparisons (1977) (26)
Introduction to Student (1908) The Probable Error of a Mean (1992) (25)
Statistics, a guide to the unknown (2nd ed.) (1985) (25)
Two Comments on “Sufficiency and Statistical Decision Functions” (1955) (25)
The Restricted Chi-Square Test (1961) (23)
Unbiased Estimation in Convex Families (1969) (23)
Efficient Likelihood Estimators (1980) (23)
Introduction to Neyman and Pearson (1933) On the Problem of the Most Efficient Tests of Statistical Hypotheses (1992) (22)
On the Existence of Least Favorable Distributions (1952) (22)
“Student” and small-sample theory (1999) (20)
On Families of Admissible Tests (1947) (19)
A Minimax Property of The Sample Mean in Finite Populations (1981) (18)
Optimum Invariant Tests (1959) (18)
On the Problem of Similar Regions. (1947) (18)
Optimum Significance Levels for Multistage Comparison Procedures (1979) (18)
Hodges—Lehmann Estimators (2004) (17)
A Compact Table for Power of the $t$-Test (1968) (17)
Some Applications of the CramÉr-Rao Inequality (2012) (17)
Testing Statistical Hypotheses: The Story of a Book (1997) (16)
On Optimum Tests of Composite Hypotheses With one Constraint (1947) (16)
The Admissibility of Certain Invariant Statistical Tests Involving a Translation Parameter (1953) (16)
Some History of Optimality (2012) (13)
Matching in Paired Comparisons (1954) (12)
J. Neyman: On the Occasion of His 80th Birthday (1974) (11)
Estimation with Inadequate Information (1983) (10)
Wilcoxon and t Test for Matched Pairs of Typed Subjects (1973) (10)
A Festschrift for Erich L. Lehmann in honor of his sixty-fifth birthday (1983) (10)
On the history and use of some standard statistical models (2008) (9)
Notes on the theory of estimation : chapters I to V, lectures 1945-50 (1950) (8)
Channel Capacity and State Estimation for (2005) (8)
The Neyman-Pearson Theory after Fifty Years (2012) (8)
Neyman’s Statistical Philosophy (2012) (8)
Frequentist Interpretation of Probability (2012) (8)
Overview of Statistics (2008) (7)
Global properties of . . . (1996) (7)
Mentors and Early Collaborators: Reminiscences from the Years 1940-1956 with an Epilogue (1993) (7)
[The 1988 Wald Memorial Lectures: The Present Position in Bayesian Statistics]: Comment (1990) (7)
Basic Concepts of Probability and Statistics, Second Edition. (1970) (6)
Elements of finite probability (1970) (5)
Hsu's Work on Inference (1979) (5)
Pointwise Versus Uniform Robustness of Some Largesample Tests and Confidence Intervals (2012) (5)
Pao-Lu Hsu 1909-1970 (1979) (5)
The Minimax Principle (1986) (5)
Selected Works of E. L. Lehmann (2012) (5)
In Memoriam: Jerzy Neyman 1894–1981 (1982) (5)
Optimality and Symposia: Some History (2012) (5)
Some Comments on Large Sample Tests (1949) (4)
The Creation and Early History of the Berkeley Statistics Department (2012) (4)
Statistics: An Overview (2006) (4)
Moments of chi and power of t (1967) (4)
COMPARISON OF EXPERIMENTS FOR SOME MULTIVARIATE NORMAL SITUATIONS (1983) (4)
The General Decision Problem (1986) (4)
Uniformly Most Powerful Tests (1986) (3)
Henry ScheffÉ 1907–1977 (1979) (3)
Foundational Issues in Statistics: Theory and Practice (1997) (2)
The Bertrand-Borel Debate and the Origins of the Neyman-Pearson Theory (2012) (2)
Convergence in Probability and in Law (1999) (2)
Unbiasedness: Theory and First Applications (1986) (2)
Large-Sample Theory (1983) (1)
LEAST INFORMATIVE DISTRIBUTIONS (1983) (1)
The Design of Experiments and Sample Surveys (2011) (1)
Becoming a Statistician (2008) (1)
Statistics Comes of Age (2008) (1)
Discriminatory Analysis. 6. On the Simultaneous Classification of Several Individuals (1951) (1)
On the Non-Verifiability of Certain Parametric Functions (1965) (1)
Verifiability and strong verifiability (1994) (1)
The Probability Background (1986) (0)
earlier work the impact of which has been so extraordinary that it has completely (2016) (0)
Efficient Estimators and Tests (1999) (0)
Summary and introduction In 1945 and 1946 , Cram 6 r (2005) (0)
7. Multivariate Distributions (2005) (0)
Mathematical Statistics at Other Universities (2008) (0)
ROBUST ESTIMATION IN ANALYSIS OF VARIANCE1 (2011) (0)
12. Tests for Comparative Experiments (2005) (0)
The Stanford Statistics Department (2008) (0)
On Families of Admissidle Tests (2012) (0)
9. Estimation in Measurement and Sampling Models (2005) (0)
Introduction to Statistics for the Social Sciences.@@@Intermediate Politometrics.@@@Nonparametrics: Statistical Methods Based on Ranks.@@@Ideas and Data: The Process and Practice of Social Research.@@@Fundamentals of Behavioral Statistics. (1977) (0)
The Berkeley Statistics Department II: The Second Generation (2008) (0)
Comment Diaconis and Lehmann 3 Two Caveats The robustness properties discussed (2008) (0)
4. Conditional Probability (2005) (0)
Pao-Lu Hsu 1910–1970 (1983) (0)
SOME CONCEPTS OF DEPENDENCE1 (2016) (0)
Unbiasedness with emphasis on theory (2014) (0)
Comment (2008) (0)
13. The Concept of Power (2005) (0)
Neyman–Pearson Lemma (2004) (0)
THE APRIL MEETING IN BERKELEY The four hundred thirty-sixth meeting of the American Mathe - (2007) (0)
ON A THEOREM OF BAHADUR AND GOODMAN1 (2011) (0)
the mathematical theory of statistics, and the broad spectrum of its appli- cations. He also turned out to be an ambitious and dynamic administrator, sometimes perhaps more so than Evans had bargained for. (2016) (0)
Discriminatory Analysis. Volume 7. On the Theory of Selection (1951) (0)
Discriminatory Analysis VII. On the Theory of Selection (1951) (0)
The Challenges of Model Objective Selection and Estimation for Ad-hoc Network Data Sets (2008) (0)
6. Special Distributions (2005) (0)
Rejoinder (2009) (0)
Hodges‐Lehmann Estimator: Theory (2014) (0)
Performance of Statistical Tests (1999) (0)
The Neyman-Pearson Theory (2011) (0)
Statistics: A Guide to the Biological and Health Sciences. (1978) (0)
CONTRIBUTIONS TO MATHEMATICAL STATISTICS (1990) (0)
Nonparametrics and Robustness (2008) (0)
An Interpretation of Completeness and (2016) (0)
The Berkeley Statistics Department I: Establishment and First Generation (2008) (0)
Hodges, Joseph Lawson, Jr (2014) (0)
New Tasks and Relationships (2008) (0)
1. Probability Models (2005) (0)
Foundations I: The Frequentist Approach (2008) (0)
10. Optimum Methods of Estimation (2005) (0)
11. Tests of Significance (2005) (0)
Foundations II: Bayesianism and Data Analysis (2008) (0)
Neyman‐Pearson Lemma: Theory (2014) (0)
5. Random Variables (2005) (0)
Unbiasedness: Applications to Normal Distributions; Confidence Intervals (1986) (0)
3. Product Models (2005) (0)
Volume I: Joseph Berkson, Estimation by Least Squares and by Maximum Likeli- (1957) (0)
Multivariate Linear Hypotheses (1986) (0)

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