[PDF] Top 20 Log moment estimators of the Nakagami lognormal distribution
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Log moment estimators of the Nakagami lognormal distribution
... NL distribution is a tri-parametric distribution and the integral form of its PDF presents an inherent diffi- culty in estimating the ...NL estimators has been carried out ...a distribution. ... See full document
10
LQ-Moments: application to the log-normal distribution
... underlying distribution is correctly ...three-parameter lognormal (LN3) distribution, which is often employed in statistical analyses of hydrological ...proposed estimators of the LN3 ... See full document
8
Characterization and estimation of the length biased Nakagami distribution
... In this paper, we introduce the length biased form of the Nakagami distribution known as length biased Nakagami distribution (LBND). Some properties of the model were studied such as moments, ... See full document
19
Inference for the shape parameter of lognormal distribution in presence of fuzzy data
... of lognormal distribution when the available observations are fuzzy and are assumed to be related to underlying crisp realization of a random ...and moment estimates are very similar in all ...the ... See full document
11
Modified Moment, Maximum Likelihood and Percentile Estimators for the Parameters of the Power Function Distribution
... function distribution is a flexible life time distribution model that may offer a good fit to some sets of failure ...function distribution is the inverse of Pareto ...this distribution and ... See full document
20
Equivalent Martingale Measure in Asian Geometric Average Option Pricing
... By using the random variables with the same Second moment driven by the lognormal distribution to approximate the arithmetic average of the underlying asset price, the approximate soluti[r] ... See full document
6
Bayesian Approach in Estimation of Scale Parameter of Nakagami Distribution
... likelihood estimators for the shape parameter in the Nakagami ...Bayes estimators for the unknown parameter of inverse Rayleigh distribution using Squared error and Linex loss ...Bayes ... See full document
12
Three-parameter lognormal distribution: parametric estimation using l-moment and tl-moment approach
... three-parameter lognormal (LN3) distribution has been applied to the frequency analysis of flood ...LN3 distribution which are L-moment, η = 0 and TL-moment, η = 1, 2, 3, and 4 to the ... See full document
12
Closed Form Moment Formulae for the Lognormal SABR Model and Applications to Calibration Problems
... the lognormal SABR model corresponding to the single trajectory data sample consists in extending the method proposed in [6,7] to study a similar calibration problem for the Heston model and for some of its varia- ... See full document
15
Deviation of the Variances of Classical Estimators and Negative Integer Moment Estimator from Minimum Variance Bound with Reference to Maxwell Distribution
... the distribution of particle speeds. The Maxwell distribution describes the distribution of particle speeds in an ideal ...This distribution has a variety of applications in the study of the ... See full document
6
The economics of trade secrets : evidence from the Economic Espionage Act
... The distribution of the values of trade secrets in EEA cases further develops the understanding of the underlying process of the growth of innovation and the value to the firm of protecting ... See full document
328
RCS Characterization of Stealth Target Using X2 Distribution and Lognormal Distribution
... Abstract—The radar backscatter from complex targets, such as aircrafts and ships, tends to vary rapidly with aspect or time. To describe the radar cross section distribution characteristics of such targets, ... See full document
10
Performance of Nakagami – m Fading Channel with Equal Gain Combining and Maximal Ratio Combining Diversity Techniqu
... that Nakagami - m distribution can be used to analyze fading with no direct line – of – sight between the transmitter and receiver antennas [as Rayleigh distribution] and the propagation path ... See full document
7
Comparison of Parametric Models: Appication to Hypertensive Patients in a Teaching Hospital, Awka
... Introduction: In Nigeria, hypertension is a common sickness among grownups. This research was carried out to determine the best model for predicting survival of hypertensive patients using goodness of fit criteria, ... See full document
10
Accelerated life testing plans for the stochastic degradation models for censored data using log location scale distribution
... The optimal solutions were obtained by the simulated annealing algorithm as suggested by Corana et al (1987). It can be easily seen that the evaluated asymptotic variances based on complete data are the smallest, ... See full document
6
Interference Aware Cooperative Routing Algorithm for Wireless Ad Hoc Networks over Nakagami Fading and Lognormal Shadowing
... of nakagami fading and lognormal shadowing channel conditions and proposed an Interference Aware Cooperative Routing (IACR) approach to manage routing operations between ... See full document
8
Parameter Estimation for Bivariate Mixed Lognormal Distribution
... mixed distribution which contain discrete distribution (days that do not rain) and continuous distribution (days that ...mixed lognormal distribution were determined by the minimum ... See full document
8
Model-based Recursive Partitioning for Survival of Iranian Female Breast Cancer Patients: Comparing with Parametric Survival Models
... Another worth noting marvel of MoBRP was its cut point selection of the age partitioning cova- riate (i.e. 39 yr). This cut point is almost the same as '40 yr' chosen by many articles previously. The burden of disease ... See full document
9
Estimation of Location Parameter from Two Biased Samples
... The next important result of this study is that the sug- gested fuzzy estimators are better than weighted estima- tors of type (2) in sense (4). Finally, to decide which es- timator should be prefered in dealing ... See full document
9
The Mean Difference for Lognormal Distribution
... In several previous studies [1]-[4], we have obtained close formula of the Gini mean difference for many conti- nuous and discrete distributive models. In those papers, due to the difficulty in finding a solution for the ... See full document
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