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Titlebook: Breakthroughs in Statistics; Methodology and Dist Samuel Kotz,Norman L. Johnson Textbook 1992 Springer-Verlag New York, Inc. 1992 Outlook.S

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, Durbin and Watson (1950, 1951) Testing for Serial Correlation in Least Squares Regression. I, II,herian revolution of the 1920s and 1930s, statistical methods were mainly applied in the natural sciences where one could often design the experiments that produced the data. The emphasis was largely on how the experiments should be designed to make the least-squares assumptions valid rather than on checking the correctness of these assumptions.
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https://doi.org/10.1007/978-1-349-10328-7y, and so on. One article in the series was devoted to the paper we are about to discuss. Written by Ian Hacking, it is referenced below. Karl Pearson’s paper is the fifth in a series of his early papers, most of which are concerned with the mathematical problems of biological evolution. Insofar as
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https://doi.org/10.1007/978-1-349-10328-7 Society was notable for his far-reaching presidential address (Fisher, 1948) in which he saw statistical science as doing for inference what mathematics had done for deduction. Among his contributions to the subject, the most influential has surely been the concept of significance, widely used from
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https://doi.org/10.1007/978-1-349-10328-7sts has been turned to the . of field experiments. During this period, experiments of the uniformity trial type have demonstrated the magnitude and ubiquity of that class of error which cannot be ascribed to carelessness in measuring the land or weighing the produce, and which is consequently descri
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https://doi.org/10.1007/978-1-349-10328-7d the empirical distribution function (EDF) and then enquired how close this would be to the true distribution .(.) when this is continuous. This leads naturally to the definition of what has come to be known as the Kolmogorov statistic (or sometimes the Kolmogorov- Smirnov statistic) ., and Kolmogo
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https://doi.org/10.1007/978-1-349-10328-7d the possibility of practical applications of the representative method has attracted the attention of many statisticians in different countries. Very probably this popularity of the representative method is also partly due to the general crisis, to the scarcity of money and to the necessity of car
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