Search Results - subject:"distribution function"

Generalized moment-independent importance measures based on Minkowski distance

Zhai, Qingqing; Yang, Jun; Xie, Min; Zhao, Yu - In: European Journal of Operational Research 239 (2014) 2, pp. 449-455

importance measures, i.e. probability density function based MD importance measure, cumulative distribution function based MD …

Persistent link: https://www.econbiz.de/10011097713

Stochastic analysis of life insurance surplus

Nolde, Natalia; Parker, Gary - In: Insurance: Mathematics and Economics 56 (2014) C, pp. 1-13

proposed for calculating the distribution function of the accounting surplus. We then examine the probability that the …

Persistent link: https://www.econbiz.de/10010776725

Multi-peak Gaussian fit applicability to wind speed distribution

Hossain, Jami; Sharma, Suman; Kishore, V.V.N. - In: Renewable and Sustainable Energy Reviews 34 (2014) C, pp. 483-490

Efforts to harness wind energy on a large scale have gained momentum across the world. By the end of December 2013, a cumulative capacity of more than 300GW of wind power projects had been installed all over the world. One of the key aspects involved in implementing wind power projects is the...

Persistent link: https://www.econbiz.de/10010776841

The contribution of human capital variables to changes in the wage distribution function

Ghosh, Pallab Kumar - In: Labour Economics 28 (2014) C, pp. 58-69

the changes of U.S. wage distribution function over the period of 1990–2000. The effects of these factors are estimated by … it relaxes the linearity assumption of the conditional quantile function to estimate the counterfactual wage distribution … function consistently. This paper also shows that the proposed method provides better estimates of capturing the effects of …

Persistent link: https://www.econbiz.de/10010785259

Conditional statistical properties of the complex systems having long-duration memory

Huang, Zhifu; Ou, Congjie; Lin, Bihong; Su, Guozhen; … - In: Physica A: Statistical Mechanics and its Applications 409 (2014) C, pp. 138-145

calculate the conditional probability distribution function (CPDF) within the systems. It is found that the asymmetric CPDF of …

Persistent link: https://www.econbiz.de/10010785362

Tests of non-monotonic stochastic aging notions in reliability theory

Anis, M. - In: Statistical Papers 55 (2014) 3, pp. 691-714

Testing of various classes of life distributions has been a subject of investigation for more than four decades. In this study we restrict ourselves to the problem of testing exponentiality against non-monotonic aging notions. We model non-monotonic aging using the notions of bathtub failure...

Persistent link: https://www.econbiz.de/10010794861

Stochastic dominance with imprecise information

Montes, Ignacio; Miranda, Enrique; Montes, Susana - In: Computational Statistics & Data Analysis 71 (2014) C, pp. 868-886

Stochastic dominance, which is based on the comparison of distribution functions, is one of the most popular preference measures. However, its use is limited to the case where the goal is to compare pairs of distribution functions, whereas in many cases it is interesting to compare sets of...

Persistent link: https://www.econbiz.de/10010871373

Scaling probability distribution of granular chains in two dimensions

Wang, Guan; Zheng, Ning; Wen, Pingping; Li, Liangsheng; … - In: Physica A: Statistical Mechanics and its Applications 407 (2014) C, pp. 192-197

We experimentally investigate the scaling probability distributions of various intrachain distances of granular chains in two-dimensional static packing, the chain length of which ranges from N=64 to 2048. With the scaling method proposed in the polymer theory, the scaled data from granular...

Persistent link: https://www.econbiz.de/10010872439

Assessment of wind power generation potential in Perlis, Malaysia

Irwanto, M.; Gomesh, N.; Mamat, M.R.; Yusoff, Y.M. - In: Renewable and Sustainable Energy Reviews 38 (2014) C, pp. 296-308

characteristics consist of daily, monthly and annual mean wind speed. The Weibull distribution function is applied to analyze the wind … distribution function, the wind speed and probability density are, respectively, 0.97m/s and 73% at Chuping, also 2.5m/s and 45% at …

Persistent link: https://www.econbiz.de/10010906643

New ratio and difference estimators of the finite population distribution function

Muñoz, J.F.; Arcos, A.; Álvarez, E.; Rueda, M. - In: Mathematics and Computers in Simulation (MATCOM) 102 (2014) C, pp. 51-61

New design-based ratio and difference estimators of the distribution function are defined by minimizing the mean square …

Persistent link: https://www.econbiz.de/10011050796