Prediction intervals for the future record values from exponential distribution: comparative study

By A. M. Awad, Mohammad Z. Raqab. 2000

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Bayesian prediction of rainfall records using the generalized exponential distribution (2007, background): “Awad and Raqab (2000) conducted a comparison study between several prediction intervals for future records from the exponential ∗Correspondence to: M. T. Madi, Department of Statistics, UAE University, Al Ain, United Arab Emirates.”
Statistical inference based on record data from Pareto model (2007, background): “Dunsmore [10] provided tolerance regions as well as a Bayesian predictive distribution of Rs − Rm. Awad and Raqab [11] conducted a comparison study between several non-Bayesian predictions of future records from the oneparameter exponential distribution.”
Estimation of Pr(X < Y) Using Record Values in the One and Two Parameter Exponential Distributions (2008, methodology): “The upper record value sequence R0 R1 Rn is defined as Rn = XTn n = 0 1 2 Inference problems based on records with many lifetime models were considered by several authors, see Awad and Raqab (2000), Jaheen (2004), Ahmadi and Balakrishnan (2005) and the references therein.”
Bayesian prediction of temperature records using the Pareto model (2004, unknown): “The records and their statistics could be used as tools to indicate an increasing trend in this data (global warming), see for example, Arnold et al. (1998, pp. 49–50, 278). The Pareto distribution defined in (1) is used as the model for the occurrences of these data. The above table presents the re”