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Selected Works of E. L. Lehmann
On likelihood ratio tests
other
Author(s):
Erich L. Lehmann
Publication date
(Online):
November 19 2011
Publisher:
Springer US
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Testing Statistical Hypotheses
E. Lehmann
(1986)
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tests? (with rejoinder by authors)
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Computation and Proof Theory
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Walter Oberschelp
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Michael Richter
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Publication date (Print):
2012
Publication date (Online):
November 19 2011
Pages
: 209-216
DOI:
10.1007/978-1-4614-1412-4_20
SO-VID:
4b773805-a5f5-4d5a-9cad-96d9f9ea3711
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Book chapters
pp. 3
Erich L. Lehmann’s Work on Decision Theory
pp. 7
On Families of Admissidle Tests
pp. 15
Some Problems in Minimax Point Estimation
pp. 31
Some Applications of the CramÉr-Rao Inequality
pp. 41
Notes
pp. 47
The Use of Previous Experience In Reaching Statistical Decisions
pp. 59
On the Existence of Least Favorable Distributions
pp. 69
The Admissibility Of Certain Invariant Statistical Tests Involving A Translation Parameter
pp. 77
Two Comments on “Sufficiency and Statistical Decision Functions”
pp. 81
On a Theorem of Bahadur and Goodman
pp. 89
On Testing of Hypotheses
pp. 95
On Optimum Tests of Composite Hypotheses With one Constraint
pp. 117
Most Powerful Tests of Composite Hypotheses. I. Normal Distributions
pp. 139
Some Principles of the Theory of Testing Hypotheses
pp. 165
Testing the Approximate Validity of Statistical Hypotheses
pp. 173
Significance level and power
pp. 183
Optimum Invariant Tests
pp. 187
10. Sequential Probability Ratio Tests
pp. 201
The Fisher, Neyman-Peerson Theories of Testing Hypotheses: One Theory or Two?
pp. 209
On likelihood ratio tests
pp. 219
Professor Erich Lehmann’s Contributions to Testing of Hypotheses and Estimation
pp. 223
Completeness In The Sequential Case
pp. 233
Completeness, Similar Regions, and Unbiased Estimation-Part I
pp. 269
Completeness, Similar Regions, and Unbiased Estimation—Part II
pp. 287
Estimates of Location Based on Rank Tests
pp. 301
Unbiased Estimation in Convex Families
pp. 315
An Interpretation of Completeness and Basu’s Theorem
pp. 321
A Minimax Property of The Sample Mean in Finite Populations
pp. 325
Estimation With Inadequate Information
pp. 331
Erich Lehmann on rank methods
pp. 339
On the Theory of Some Non-Parametric Hypotheses
pp. 357
Consistency and Unbiasedness of Certain Nonparametric Tests
pp. 373
The Power of Rank Tests
pp. 391
The Efficiency of Some Nonparametric Competitors of the t-Test
pp. 403
Rank Methods for Combination of Independent Experiments in Analysis of Variance
pp. 419
Robust Estimation in Analysis of Variance
pp. 429
A Class of Selection Procedures Based on Ranks
pp. 437
Parametric versus nonparametrics: two alternative methodologies
pp. 447
Rejoinder
pp. 451
Descriptive statistics for nonparametric models. The impact of some Erich Lehmann’s papers
pp. 459
Nonparametric Confidence Intervals for a Shift Parameter
pp. 465
Descriptive Statistics for Nonparametric Models I. Introduction
pp. 473
Descriptive Statistics for Nonparametric Models II. Location
pp. 499
Descriptive Statistics for Nonparametric Models. III. Dispersion
pp. 519
Descriptive Statistics for Nonparametric Models IV. Spread
pp. 529
Erich Lehmann’s Work on Asymptotics
pp. 541
The Use of Maximum Likelihood Estimates in $${\chi^2}$$ Tests for Goodness of Fit
pp. 551
Asymptotically Nonparametric Inference: An Alternative Approach to Linear Models
pp. 565
Asymptotically Nonparametric Inference in Some Linear Models with one Observation per Cell
pp. 575
Deficiency
pp. 595
Pointwise Versus Uniform Robustness of Some Largesample Tests and Confidence Intervals
pp. 609
Erich Lehmann’s contributions to multiple decision making
pp. 621
A Theory of Some Multiple Decision Problems, I
pp. 647
A Theory of Some Multiple Decision Problems. II
pp. 673
Optimum Significance Levels for Multistage Comparison Procedures
pp. 693
On Optimality of Stepdown and Stepup Multiple Test Procedures
pp. 719
Generalizations of the Familywise Error Rate
pp. 739
Erich Lehmann’s Contributions to Orderings of Probability Distributions
pp. 745
Testing Multiparameter Hypotheses
pp. 757
Ordered Families of Distributions
pp. 779
Comparing Location Experiments
pp. 793
Invariant Directional Orderings
pp. 807
The Impact of Lehmann’s Work in Applied Probability
pp. 815
Some Concepts of Dependence
pp. 833
Inverted Distributions
pp. 839
Erich L. Lehmann’s Biographical Work
pp. 843
The Life of Abraham Wald
pp. 845
Pao-Lu Hsu 1909-1970
pp. 849
Hsu’s Work on Inference
pp. 853
Henry ScheffÉ 1907–1977
pp. 867
Jerzy Neyman
pp. 893
18 Le Cam at Berkeley
pp. 901
Calisphere
pp. 903
Harold Hotelling
pp. 919
Erich L. Lehmann’s Work on the History of Classical Statistics
pp. 925
Some Early Instances of Confidence Statements
pp. 939
A Conversation with Erich L. Lehmann
pp. 955
Model Specification: The Views of Fisher and Neyman, and Later Developments
pp. 965
The Bertrand-Borel Debate and the Origins of the Neyman-Pearson Theory
pp. 975
Mentors and Early Collaborators: Reminiscences from the Years 1940-1956 with an Epilogue
pp. 987
The Creation and Early History of the Berkeley Statistics Department
pp. 995
Testing Statistical Hypotheses: The Story of a Book
pp. 1001
“Student” and Small-Sample Theory
pp. 1009
Optimality and Symposia: Some History
pp. 1019
On the history and use of some standard statistical models
pp. 1033
Some History of Optimality
pp. 1043
Erich L. Lehmann’s Work on the Philosophy of Statistics
pp. 1047
The Neyman-Pearson Theory after Fifty Years
pp. 1061
Foundational Issues in Statistics: Theory and Practice
pp. 1067
Neyman’s Statistical Philosophy
pp. 1075
Frequentist Inference
pp. 1083
Frequentist Interpretation of Probability
pp. 1089
The Books
pp. 1093
On the Third Edition of Testing Statistical Hypotheses
pp. 1097
Writing TPE2
pp. 1101
Nonparametrics: Statistical Methods Based on Ranks and Its Impact on the Field of Nonparametric Statistics
pp. 1111
Elements of Large-Sample Theory
pp. 1113
Reminiscences of a Statistician: The Company I Kept
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