Search Results - subject:"probability density function"

Incomplete paired comparisons in case of multiple choice and general log-concave probability density functions

Orbán-Mihálykó, Éva; Mihálykó, Csaba; Koltay, László - In: Central European journal of operations research : CEJOR … 27 (2019) 2, pp. 515-532

Persistent link: https://www.econbiz.de/10011994374

A weighted location differential tax method in environmental problems

Halkos, George; Kitsou, Dimitra - Volkswirtschaftliche Fakultät, … - 2014

of the E(TPC) as far (i) the form of TPC and (ii) the probability density function. …

Persistent link: https://www.econbiz.de/10011108233

Statistical Diagnosis of the Best Weibull Methods for Wind Power Assessment for Agricultural Applications

Azad, Abul Kalam; Rasul, Mohammad Golam; Yusaf, Talal - In: Energies 7 (2014) 5, pp. 3056-3085

The best Weibull distribution methods for the assessment of wind energy potential at different altitudes in desired locations are statistically diagnosed in this study. Seven different methods, namely graphical method (GM), method of moments (MOM), standard deviation method (STDM), maximum...

Persistent link: https://www.econbiz.de/10011030733

A Simple Discrete Approximation for the Renewal Function

Brezavšček, Alenka - In: Business Systems Research 4 (2013) 1, pp. 65-75

inventory planning. Its calculation relies on the type of the probability density function of component failure times which can … use of a simple discrete approximation method, applicable to any probability density function. Methods/Approach: The … type of the probability density function. It is especially applicable to the peak-shaped density functions when the …

Persistent link: https://www.econbiz.de/10011019974

Weighted location differential tax in environmental problems

Halkos, George E.; Kitsou, Dimitra C. - In: Environmental economics and policy studies 20 (2018) 1, pp. 1-15

Persistent link: https://www.econbiz.de/10011789813

Transformation of an empirical distribution to normal distribution by the use of Johnson system of translation and symmetrical quantile method

Friebel, Ludvík; Friebelová, Jana - 2012

This article deals with approximation of empirical distribution to standard normal distribution using Johnson transformation. This transformation enables us to approximate wide spectrum of continuous distributions with a normal distribution. The estimation of parameters of transformation...

Persistent link: https://www.econbiz.de/10011315938

Online Variable Kernel Estimator: Application to Microarray Data Analysis

Lakhdar, Yissam; Sbai, El Hassan - In: International Journal of Operations Research and … 8 (2017) 1, pp. 58-92

probability density function from the new arrival data. The performance of the online variable kernel estimator (OVKE) depends on …In this work, the authors propose a novel method called online variable kernel estimation of the probability density … function (pdf). This new online estimator combines the characteristics and properties of two estimators namely nearest …

Persistent link: https://www.econbiz.de/10012046926

Analytical valuation and hedging of variable annuity guaranteed lifetime withdrawal benefits

Feng, Runhuan; Jing, Xiaochen - In: Insurance / Mathematics & economics 72 (2017), pp. 36-48

Persistent link: https://www.econbiz.de/10011691495

Why cannot we have a strongly consistent family of skew normal (and higher order) distributions

Thongchai Dumrongpokaphan; Kreinovich, Vladik - In: Robustness in econometrics, (pp. 69-77). 2017

Persistent link: https://www.econbiz.de/10011800956

Country Insurance Using Financial Instruments

Ricci, Luca Antonio; Chamon, Marcos; Zhang, Yuanyan Sophia - International Monetary Fund (IMF) - 2011

The availability of financial instruments related to indices that track global financial conditions and risk appetite can potentially offer countries alternative options to insure against external shocks. This paper shows that while these instruments can explain much of the in-sample variation...

Persistent link: https://www.econbiz.de/10009203536