Abstract
Given a random sample \(X_1, X_2, \ldots , X_n\), the distributions of \(\min \left( X_1, X_2, \ldots , X_n \right)\) and \(\max \left( X_1, X_2, \ldots , X_n \right)\) are of interest in many areas. We derive explicit expressions for moments of \(\min \left( X_1, X_2, \ldots , X_n \right)\) and \(\max \left( X_1, X_2, \ldots , X_n \right)\) for thirty four families of distributions, including the normal and Student’s t distributions. These results can be especially useful when data are scarce. The correctness of the expressions is checked by a simulation study. Applications to two engineering data sets are given.
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Ahooyi TM, Arbogast JE, Oktem UG, Seider WD, Soroush M (2014) Estimation of complete discrete multivariate probability distributions from scarce data with application to risk assessment and fault detection. Ind Eng Chem Res 53:7538–7547
Exton H (1978) Handbook of hypergeometric integrals: theory, applications, tables, computer programs. Halsted Press, New York
Fang LR, Ma K, Li R, Wang ZY, Shi H (2019) A statistical approach to estimate imbalance-induced energy losses for data-scarce low voltage networks. IEEE Trans Power Syst 34:2825–2835
Gnedenko B (1943) Sur la distribution limite du terme maximum d’une serie aleatoire. Ann Math 44:423–453
Gradshteyn IS, Ryzhik IM (2000) Table of integrals, series, and products, 6th edn. Academic Press, San Diego
Hamdar YS, Bakchan A, Chehab GR, Al-Qadi I, Little D (2019) Benchmarking pavement practices in data-scarce regions—case of Saudi Arabia. Int J Pavement Eng. https://doi.org/10.1080/10298436.2019.1606914
Hamming RW (1970) On the distribution of numbers. Bell Syst Tech J 49:1609–1625
Hong HP, Lind NC (1996) Estimating design quantiles from scarce data. Can J Civ Eng 23:1025–1029
Jocelyn S, Chinniah Y, Ouali MS, Yacout S (2017) Application of logical analysis of data to machinery-related accident prevention based on scarce data. Reliab Eng Syst Saf 159:223–236
Johnson NL, Kotz S, Balakrishnan N (1994) Continuous univariate distributions, vol 1, 2nd edn. Wiley, New York
Johnson NL, Kotz S, Balakrishnan N (1995) Continuous univariate distributions, vol 2, 2nd edn. Wiley, New York
Kumar S, Mishra A, Raghuwanshi NS (2015) Identification of critical erosion watersheds for control management in data scarce condition using the SWAT model. J Hydrol Eng 20:C4014008
Kumaraswamy P (1980) A generalized probability density function for double-bounded random processes. J Hydrol 46:79–88
Liao X, Peng Z (2012) Convergence rates of limit distribution of maxima of lognormal samples. J Math Anal Appl 395:643–653
Liao X, Peng Z (2015a) Asymptotics for the maxima and minima of Hüsler–Reiss bivariate Gaussian arrays. Extremes 18:1–14
Liao X, Peng Z (2015b) Convergence rate of maxima of bivariate Gaussian arrays to the Hüsler–Reiss distribution. Stat Interface 7:351–362
Liao X, Peng Z (2017) Asymptotics and statistical inferences on independent and non-identically distributed bivariate Gaussian triangular arrays. Acta Math Sin (Chin Ser) 60:297–314
Lind NC, Solana V (1990) Fractile constrained entropy estimation of distributions based on scarce data. Civil Eng Syst 7:87–93
Ling C, Peng Z (2016) Tail asymptotics of generalized deflated risks with insurance applications. Insurance Math Econ 71:220–231
Ochoa PA, Chamba YM, Arteaga JG, Capa ED (2017) Estimation of suitable areas for coffee growth using a GIS approach and multicriteria evaluation in regions with scarce data. Appl Eng Agric 33:841–848
Proschan F (1963) Theoretical explanation of observed decreasing failure rate. Technometrics 5:375–383
Prudnikov AP, Brychkov YA, Marichev OI (1986) Integrals and series, vol 1–3. Gordon and Breach Science Publishers, Amsterdam
Ramakrishnan N, Bailey-Kellogg C (2002) Sampling strategies for mining in data-scarce domains. Comput Sci Eng 4:31–43
Rego L, Sumaili J, Miranda V, Frances C, Silva M, Santana A (2017) Mean shift densification of scarce data sets in short-term electric power load forecasting for special days. Electr Eng 99:881–898
Ugarte MD, Militino AF, Arnholt AT (2015) Probability and statistics with R, 2nd edn. Chapman and Hall/CRC, London
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The authors would like to thank the Editor and the three referees for careful reading and comments which greatly improved the paper.
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Nadarajah, S., Okorie, I.E. On the maximum and minimum for classes of univariate distributions. Int J Syst Assur Eng Manag 12, 290–309 (2021). https://doi.org/10.1007/s13198-021-01078-y
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DOI: https://doi.org/10.1007/s13198-021-01078-y