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Stochastic monotonicity of the MLEs of parameters in exponential simple step-stress models under Type-I and Type-II censoring

Balakrishnan, N.; Iliopoulos, G. - In: Metrika 72 (2010) 1, pp. 89-109

Persistent link: https://www.econbiz.de/10008486686

Reconstruction of past records

Balakrishnan, N.; Doostparast, M.; Ahmadi, J. - In: Metrika 70 (2009) 1, pp. 89-109

Persistent link: https://www.econbiz.de/10004999451

Precedence-type tests based on record values

Balakrishnan, N.; Dembińska, Anna; Stepanov, Alexei - In: Metrika 68 (2008) 2, pp. 233-255

Persistent link: https://www.econbiz.de/10005178956

Log-concavity and monotonicity of hazard and reversed hazard functions of univariate and multivariate skew-normal distributions

Gupta, Ramesh; Balakrishnan, N. - In: Metrika 75 (2012) 2, pp. 181-191

Persistent link: https://www.econbiz.de/10010539340

Asymptotic properties of maximum likelihood estimators based on progressive Type-II censoring

Lin, Chien-Tai; Balakrishnan, N. - In: Metrika 74 (2011) 3, pp. 349-360

Persistent link: https://www.econbiz.de/10009324787

Dispersive ordering of fail-safe systems with heterogeneous exponential components

Zhao, Peng; Balakrishnan, N. - In: Metrika 74 (2011) 2, pp. 203-210

Persistent link: https://www.econbiz.de/10009324795

Evaluating expectations of L-statistics by the Steffensen inequality

Balakrishnan, N.; Rychlik, T. - In: Metrika 63 (2006) 3, pp. 371-384

Persistent link: https://www.econbiz.de/10005598634

A new class of inverse Gaussian type distributions

Sanhueza, Antonio; Leiva, Víctor; Balakrishnan, N. - In: Metrika 68 (2008) 1, pp. 31-49

Persistent link: https://www.econbiz.de/10005602826

Percentile estimators in location-scale parameter families under absolute loss

Keating, J.; Mason, R.; Balakrishnan, N. - In: Metrika 72 (2010) 3, pp. 351-367

Persistent link: https://www.econbiz.de/10008673984

An information theoretical algorithm for analyzing supersaturated designs for a binary response

Balakrishnan, N.; Koukouvinos, C.; Parpoula, C. - In: Metrika 76 (2013) 1, pp. 1-18

A supersaturated design is a factorial design in which the number of effects to be estimated is greater than the number of runs. It is used in many experiments, for screening purpose, i.e., for studying a large number of factors and identifying the active ones. In this paper, we propose a method...

Persistent link: https://www.econbiz.de/10010995027