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The CRC Handbook of Tables for the Use of Order Statistics in Estimation revises and significantly expands upon the well-known Order Statistics and Their Use in Testing and Estimation (Volume 2), published in 1970. It brings together tables relating to order statistics from many important distributions and provides maximum likelihood estimations of their parameters based on complete as well as Type-II censored samples. This practical reference describes in detail the method of computation used to construct the tables and illustrates their usefulness with practical examples. The CRC Handbook of Tables for the Use of Order Statistics in Estimation is easy to use and provides information on order statistics estimation at your fingertips.
Table of Contents
Introduction Quasi-Ranges of Samples from a Normal Population Point Estimation of the Population Standard Deviation s Interval Estimation of the Population Standard Deviation s The Range of Samples from a Rectangular Population Point Estimation of the Population Standard Deviation s Interval Estimation of the Population Standard Deviation s Expected Values, Variances and Covariances of Order Statistics of Samples from Various Populations Normal Population Exponential, Weibull and Gamma Populations Other Populations One or Two Order Statistics from an Exponential Population Point Estimation of One or Two Parameters Interval Estimation of the Parameter s Singly Censored Samples from Populations Related to the Exponential Weibull Populations with Known Location and Shape Parameters Type I Extreme-Value Population with Known Scale Parameters Type II Extreme-Value Population with Known Shape Parameters Pareto and Limited Populations with Known Location Parameters Single Order Statistics from Populations Related to the Exponential Weibull Populations with Known Location and Shape Parameters Type I Extreme-Value Population with Known Scale Parameters Type II Extreme-Value Population with Known Shape Parameters Limited and Pareto Populations with Known Location Parameters Doubly Censored Samples from Various Populations Maximum-Likelihood Estimation of Two Parameters of Normal Population Location-Maximum-Likelihood Estimation of Three Parameters of Lognormal Population Maximum-Likelihood Estimation of Three Parameters of Weibull and Gamma Populations Maximum-Likelihood Estimation of Two Parameters of Logistic Populations Maximum-Likelihood Estimation of Two Parameters of Type I Extreme-Value Populations Maximum-Likelihood Estimation of Two Parameters of Log-Gamma Populations Maximum-Likelihood Estimation of Three Parameters of Generalized Extreme-Value Populations Remarks on Interval Estimation of Parameters of Above Populations Appendices Subject Index Author Index
"…deserves a place in the central reference section of any university mathematics library." - The Mathematical Gazette, March 1997
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CHOICE – Outstanding Academic Title – Award Winner
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Shingo Research and Professional Publication Award Winner
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