By Subhash Sharma
This publication makes a speciality of while to take advantage of some of the analytic concepts and the way to interpret the ensuing output from the main widespread statistical programs (e.g., SAS, SPSS).
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Hardcover: 336 pages
Publisher: The Macmillan corporation; 4th version (December 1961)
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Selection of a subset to contain all populations better than a standard is also discussed. A thorough account of various developments on ranking and selection problems may be seen in the volumes by Gupta and Panchapakesan (1979) and Gibbons, Olkin and Sobel (1977). 15. Extreme values While the theory of extreme values has been worked out systematically only within the past 75 years, a few probabilists, engineers, and statisticians dealt with specific extreme-value problems much earlier. Nicolas Bernoulli (1709) found the life expectancy of the last to die of n men, who will all die within a year and who are equally likely to die at any instant during that time, to be n / ( n + 1), the expected value of the largest observation in a sample of size n from a uniform distribution on the interval (0,1).
11, 71-74. Rychlik, T. (1998). Bounds for expectations of L-estimates. In this volume. Sarhan, A. E. and B. G. ) (1962). Contributions to Order Statistics. John Wiley & Sons, New York. Sarkar, S. K. and W. Wang (1998). Estimation of scale parameter based on a fixed set of order statistics. In the companion volume. Sen, P. K. (1998). Order statistics: Asymptotic in applications. In this volume. Serfling, R. J. (1980). Approximation Theorems of Mathmetical Statistics. John Wiley & Sons, New York.
And B. G. ) (1962). Contributions to Order Statistics. John Wiley & Sons, New York. Sarkar, S. K. and W. Wang (1998). Estimation of scale parameter based on a fixed set of order statistics. In the companion volume. Sen, P. K. (1998). Order statistics: Asymptotic in applications. In this volume. Serfling, R. J. (1980). Approximation Theorems of Mathmetical Statistics. John Wiley & Sons, New York. Shapiro, S. S. (1998). The role of order statistics in distributional assessment. In the companion volume.