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999 C 5 |a 10.1007/s00362-006-0294-y
|9 -- missing cx lookup --
|1 J Ahmadi
|p 373 -
|2 Crossref
|u Ahmadi J, Doostparast M (2006) Bayesian estimation and prediction for some life distributions based on record values. Stat Pap 47(3):373–392. https://doi.org/10.1007/s00362-006-0294-y
|t Stat Pap
|v 47
|y 2006
999 C 5 |a 10.1007/BF02480340
|9 -- missing cx lookup --
|1 M Ahsanullah
|p 363 -
|2 Crossref
|u Ahsanullah M (1980) Linear prediction of record values for the two parameter exponential distribution. Ann Inst Stat Math 32(1):363–368. https://doi.org/10.1007/BF02480340
|t Ann Inst Stat Math
|v 32
|y 1980
999 C 5 |a 10.1017/S0266466605050255
|9 -- missing cx lookup --
|1 S Anatolyev
|p 472 -
|2 Crossref
|u Anatolyev S, Kosenok G (2005) An alternative to maximum likelihood based on spacings. Econ Theor 21(2):472–476. https://doi.org/10.1017/S0266466605050255
|t Econ Theor
|v 21
|y 2005
999 C 5 |a 10.1002/9781118150412
|1 BC Arnold
|y 1998
|2 Crossref
|u Arnold BC, Balakrishnan N, Nagaraja HN (1998) Records. Wiley, Hoboken
|9 -- missing cx lookup --
999 C 5 |a 10.1080/00949650008812005
|9 -- missing cx lookup --
|1 AM Awad
|p 325 -
|2 Crossref
|u Awad AM, Raqab MZ (2000) Prediction intervals for the future record values from exponential distribution: comparative study. J Stat Comput Simul 65(1–4):325–340. https://doi.org/10.1080/00949650008812005
|t J Stat Comput Simul
|v 65
|y 2000
999 C 5 |a 10.1142/9789812795250_0011
|9 -- missing cx lookup --
|1 P Basak
|p 159 -
|2 Crossref
|u Basak P, Balakrishnan N (2003) Maximum likelihood prediction of future record statistic. In: Lindqvist B, Doksum K (eds) Chapter 11: Mathematical and statistical methods in reliability. World Scientific Publishing, New York, pp 159–175
|y 2003
999 C 5 |a 10.1080/03610920902746630
|9 -- missing cx lookup --
|1 M Burkschat
|p 311 -
|2 Crossref
|u Burkschat M (2009) Linear estimators and predictors based on generalized order statistics from generalized Pareto distributions. Commun Stat Theory Methods 39(2):311–326. https://doi.org/10.1080/03610920902746630
|t Commun Stat Theory Methods
|v 39
|y 2009
999 C 5 |1 KN Chandler
|y 1952
|2 Crossref
|u Chandler KN (1952) The distribution and frequency of record values. J R Statist Soc B 14:220–228
999 C 5 |1 RCH Cheng
|y 1983
|2 Crossref
|u Cheng RCH, Amin NAK (1983) Estimating parameters in continuous univariate distributions with a shifted origin. J R Stat Soc B 45(3):394–403
999 C 5 |a 10.1002/0471722162
|1 HA David
|y 2003
|2 Crossref
|u David HA, Nagaraja HN (2003) Order statistics, 3rd edn. Wiley, New Jersey
|9 -- missing cx lookup --
999 C 5 |a 10.1007/BF02480982
|9 -- missing cx lookup --
|1 IR Dunsmore
|p 267 -
|2 Crossref
|u Dunsmore IR (1983) The future occurrence of records. Ann Inst Stat Math 35(1):267–277. https://doi.org/10.1007/BF02480982
|t Ann Inst Stat Math
|v 35
|y 1983
999 C 5 |a 10.4064/am-15-2-187-190
|9 -- missing cx lookup --
|1 W Dziubdziela
|p 187 -
|2 Crossref
|u Dziubdziela W, Kopociński B (1976) Limiting properties of the k-th record values. Appl Math 2(15):187–190. https://doi.org/10.4064/am-15-2-187-190
|t Appl Math
|v 2
|y 1976
999 C 5 |a 10.1016/S0378-3758(97)00185-7
|9 -- missing cx lookup --
|1 M Ekström
|p 209 -
|2 Crossref
|u Ekström M (1998) On the consistency of the maximum spacing method. J Stat Plann Inf 70(2):209–224. https://doi.org/10.1016/S0378-3758(97)00185-7
|t J Stat Plann Inf
|v 70
|y 1998
999 C 5 |a 10.1016/j.jspi.2007.06.031
|9 -- missing cx lookup --
|1 M Ekström
|p 1778 -
|2 Crossref
|u Ekström M (2008) Alternatives to maximum likelihood estimation based on spacings and the Kullback–Leibler divergence. J Stat Plann Inf 138(6):1778–1791. https://doi.org/10.1016/j.jspi.2007.06.031
|t J Stat Plann Inf
|v 138
|y 2008
999 C 5 |a 10.1017/S0269964800000188
|9 -- missing cx lookup --
|1 RC Gupta
|p 475 -
|2 Crossref
|u Gupta RC, Kirmani SNUA (1988) Closure and monotonicity properties of nonhomogeneous Poisson processes and record values. Probab Eng Inf Sci 2(4):475–484. https://doi.org/10.1017/S0269964800000188
|t Probab Eng Inf Sci
|v 2
|y 1988
999 C 5 |a 10.1080/03610918908812825
|9 -- missing cx lookup --
|1 RC Gupta
|p 1359 -
|2 Crossref
|u Gupta RC, Kirmani SNUA (1989) On predicting repair times in a minimal repair process. Commun Stat Sim Comput 18(4):1359–1368. https://doi.org/10.1080/03610918908812825
|t Commun Stat Sim Comput
|v 18
|y 1989
999 C 5 |a 10.1016/0378-3758(94)00147-N
|9 -- missing cx lookup --
|1 U Kamps
|p 1 -
|2 Crossref
|u Kamps U (1995) A concept of generalized order statistics. J Stat Plann Inf 48(1):1–23. https://doi.org/10.1016/0378-3758(94)00147-N
|t J Stat Plann Inf
|v 48
|y 1995
999 C 5 |a 10.1002/9781118445112.stat00832.pub2
|9 -- missing cx lookup --
|1 U Kamps
|p 1 -
|2 Crossref
|u Kamps U (2016) Generalized order statistics. In: Balakrishnan N, Brandimarte P, Everitt B, Molenberghs G, Piegorsch W, Ruggeri F (eds) Wiley StatsRef: statistics reference online. Wiley, Chichester, pp 1–12. https://doi.org/10.1002/9781118445112.stat00832.pub2
|y 2016
999 C 5 |a 10.1002/env.661
|9 -- missing cx lookup --
|1 MT Madi
|p 701 -
|2 Crossref
|u Madi MT, Raqab MZ (2004) Bayesian prediction of temperature records using the Pareto model. Environmetrics 15(7):701–710. https://doi.org/10.1002/env.661
|t Environmetrics
|v 15
|y 2004
999 C 5 |a 10.1080/00949655.2014.970554
|9 -- missing cx lookup --
|1 M Nadar
|p 3297 -
|2 Crossref
|u Nadar M, Kızılaslan F (2015) Estimation and prediction of the Burr type XII distribution based on record values and inter-record times. J Stat Comput Sim 85(16):3297–3321. https://doi.org/10.1080/00949655.2014.970554
|t J Stat Comput Sim
|v 85
|y 2015
999 C 5 |1 HN Nagaraja
|y 1986
|2 Crossref
|u Nagaraja HN (1986) Comparison of estimators and predictors from two-parameter exponential distribution. Sankhyā B 48(1):10–18
999 C 5 |1 VB Nevzorov
|y 2001
|2 Crossref
|u Nevzorov VB (2001) Records: mathematical theory. American Mathematical Society, Providence
|t Records: mathematical theory
999 C 5 |1 J Paul
|y 2016
|2 Crossref
|u Paul J, Thomas PY (2016) On generalized upper (k) record values from Pareto distribution. Aligarh J Stat 36:63–78
999 C 5 |1 B Ranneby
|y 1984
|2 Crossref
|u Ranneby B (1984) The maximum spacing method: an estimation method related to the maximum likelihood method. Scand J Stat 11(2):93–112
999 C 5 |1 MZ Raqab
|y 2007
|2 Crossref
|u Raqab MZ (2007) Exponential distribution records: different methods of prediction. In: Ahsanullah M, Raqab MZ (eds) Chapter 16: recent developments in ordered random variables. Nova Science Publishers, Hauppauge, pp 239–251
|t Chapter 16: recent developments in ordered random variables
999 C 5 |a 10.1016/j.cam.2019.02.006
|9 -- missing cx lookup --
|1 MZ Raqab
|p 118 -
|2 Crossref
|u Raqab MZ, Alkhalfan LA, Bdair OM, Balakrishnan N (2019) Maximum likelihood prediction of records from 3-parameter Weibull distribution and some approximations. J Comput Appl Math 356:118–132
|t J Comput Appl Math
|v 356
|y 2019
999 C 5 |a 10.1023/A:1003827017345
|9 -- missing cx lookup --
|1 Y Shao
|p 31 -
|2 Crossref
|u Shao Y, Hahn MG (1999) Strong consistency of the maximum product of spacings estimates with applications in nonparametrics and in estimation of unimodal densities. Ann Inst Stat Math 51(1):31–49. https://doi.org/10.1023/A:1003827017345
|t Ann Inst Stat Math
|v 51
|y 1999
999 C 5 |2 Crossref
|u Volovskiy G (2018) Likelihood-based prediction in models of ordered data. Ph.D. thesis, RWTH Aachen University, https://publications.rwth-aachen.de/record/751672/files/751672.pdf
999 C 5 |a 10.1007/s11749-020-00701-7
|9 -- missing cx lookup --
|2 Crossref
|u Volovskiy G, Kamps U (2020) Maximum observed likelihood prediction of future record values. TEST, To appear, https://doi.org/10.1007/s11749-020-00701-7


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