Distribution-free prediction intervals for the future current record statistics

被引:0
作者
Mohammad Z. Raqab
机构
[1] University of Jordan,Department of Mathematics
来源
Statistical Papers | 2009年 / 50卷
关键词
Record values; Prediction interval; Coverage probability; Monotone approximation method; 62G30; 62G32; 62M20; 62F25;
D O I
暂无
中图分类号
学科分类号
摘要
Prediction of records plays an important role in many applications, such as, meteorology, hydrology, industrial stress testing and athletic events. In this paper, based on the observed current records of an iid sequence sample drawn from an arbitrary unknown distribution, we develop distribution-free prediction intervals as well as prediction upper and lower bounds for current records from another iid sequence. We also present sharp upper bounds for the expected lengths of the so obtained prediction intervals. Numerical computations of the coverage probabilities are presented for choosing the appropriate limits of the prediction intervals.
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页码:429 / 439
页数:10
相关论文
共 19 条
[1]  
Ahmadi J(2004)Confidence intervals for quantiles in terms of record range Stat Probab Lett 68 395-405
[2]  
Balakrishnan N(2005)Preservation of some reliability properties by certain record statistics Statistics 39 347-354
[3]  
Ahmadi J(1980)Linear prediction of record values for the two parameter exponential distribution Ann Inst Stat Math 32 363-368
[4]  
Balakrishnan N(2000)Prediction intervals for the future record values from exponential distribution: comparative study J Stat Comput Simulat 65 325-340
[5]  
Ahsanullah M(1998)Interval estimation of parameters of life based on record values Stat Probab Lett 37 49-58
[6]  
Awad AM(1989)Simultaneous one-sided prediction intervals for a two-parameter exponential distribution using complete or type II censored data Metrika 36 279-290
[7]  
Raqab MZ(1983)The future occurrence of records Ann Inst Stat Math 35 267-277
[8]  
Chan PS(1978)Breaking records and breaking boards Am Math Monthly 85 2-26
[9]  
Chou Y-M(1974)Prediction intervals for the exponential distribution using subsets of the data Technometrics 16 57-59
[10]  
Owen DB(2004)Bayesian prediction of temperature records using the Pareto model Environmetrics 15 701-710