Statistical Inference in the Non-Parametric Case
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[1] J. Wolfowitz,et al. An Exact Test for Randomness in the Non-Parametric Case Based on Serial Correlation , 1943 .
[2] J. Wolfowitz,et al. On the Theory of Runs with some Applications to Quality Control , 1943 .
[3] H. Scheffé. On a Measure Problem Arising in the Theory of Non-Parametric Tests , 1943 .
[4] Harold C. Mathisen. A Method of Testing the Hypothesis that Two Samples are from the Same Population , 1943 .
[5] C. Eisenhart,et al. Tables for Testing Randomness of Grouping in a Sequence of Alternatives , 1943 .
[6] Abraham Wald,et al. An Extension of Wilks' Method for Setting Tolerance Limits , 1943 .
[7] Abraham Wald,et al. On the Principles of Statistical Inference. , 1942 .
[8] S. S. Wilks. Statistical Prediction with Special Reference to the Problem of Tolerance Limits , 1942 .
[9] J. Wolfowitz,et al. Additive Partition Functions and a Class of Statistical Hypotheses , 1942 .
[10] W. A. Wallis,et al. A Significance Test for Time Series. , 1942 .
[11] J. Neyman. Basic Ideas and Some Recent Results of the Theory of Testing Statistical Hypotheses , 1942 .
[12] Maurice G. Kendall,et al. Note on the Estimation of a Ranking , 1942 .
[13] A. Kolmogoroff. Confidence Limits for an Unknown Distribution Function , 1941 .
[14] L. C. Young,et al. On Randomness in Ordered Sequences , 1941 .
[15] Frederick Mosteller,et al. Note on an Application of Runs to Quality Control Charts , 1941 .
[16] J. Wolfowitz,et al. Note on Confidence Limits for Continuous Distribution Functions , 1941 .
[17] S. S. Wilks. Determination of Sample Sizes for Setting Tolerance Limits , 1941 .
[18] A. Mood. The Distribution Theory of Runs , 1940 .
[19] W. A. Shewhart,et al. Contribution of statistics to the science of engineering , 1940 .
[20] W. Dixon. A Criterion for Testing the Hypothesis that Two Samples are from the Same Population , 1940 .
[21] M. Friedman. A Comparison of Alternative Tests of Significance for the Problem of $m$ Rankings , 1940 .
[22] M. Kendall,et al. The Problem of $m$ Rankings , 1939 .
[23] W. Allen Wallis,et al. The Correlation Ratio for Ranked Data , 1939 .
[24] J. Wolfowitz,et al. Confidence Limits for Continuous Distribution Functions , 1939 .
[25] Maurice G. Kendall,et al. The Distribution of Spearman's Coefficient of Rank Correlation in a Universe in which all Rankings Occur an Equal Number of Times: , 1939 .
[26] W. L. Stevens,et al. DISTRIBUTION OF GROUPS IN A SEQUENCE OF ALTERNATIVES , 1939 .
[27] W. R. Thompson. Biological Applications of Normal Range and Associated Significance Tests in Ignorance of Original Distribution Forms , 1938 .
[28] E. G. Olds. Distributions of Sums of Squares of Rank Differences for Small Numbers of Individuals , 1938 .
[29] M. Kendall. A NEW MEASURE OF RANK CORRELATION , 1938 .
[30] E. Pitman. SIGNIFICANCE TESTS WHICH MAY BE APPLIED TO SAMPLES FROM ANY POPULATIONS III. THE ANALYSIS OF VARIANCE TEST , 1938 .
[31] S. Savur. The use of the median in tests of significance , 1937 .
[32] M. Friedman. The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance , 1937 .
[33] E. J. G. Pitman,et al. Significance Tests Which May be Applied to Samples from Any Populations. II. The Correlation Coefficient Test , 1937 .
[34] E. S. Pearson. SOME ASPECTS OF THE PROBLEM OF RANDOMIZATION , 1937 .
[35] B. L. Welch. ON THE z-TEST IN RANDOMIZED BLOCKS AND LATIN SQUARES , 1937 .
[36] E. Pitman. Significance Tests Which May be Applied to Samples from Any Populations , 1937 .
[37] W. R. Thompson,et al. On Confidence Ranges for the Median and Other Expectation Distributions for Populations of Unknown Distribution Form , 1936 .
[38] Harold Hotelling,et al. Rank Correlation and Tests of Significance Involving No Assumption of Normality , 1936 .
[39] Ronald Aylmer Sir Fisher,et al. 141: "The Coefficient of Racial Likeness" and the Future of Craniometry , 1936 .
[40] E. Gumbel,et al. Les valeurs extrêmes des distributions statistiques , 1935 .
[41] Karl Pearson,et al. ON THE PROBABILITY THAT TWO INDEPENDENT DISTRIBUTIONS OF FREQUENCY ARE REALLY SAMPLES FROM THE SAME PARENT POPULATION , 1932 .