Inthis paper,we define partial moments for a univariate continuous random variable. A recurrence relationship for the Pearson curve using the partial moments is established. The interrelationship between the partial moments and other reliability measures such as failure rate, mean residual life function are proved. We also prove some characterization theorems using the partial moments in the context of length biased models and equilibrium distributionsCochin University Of Science And TechnologyMETRON - International Journal of Statistics 2004, vol. LXII, n. 3, pp. 353-36
Moments of continuous random variables admitting a probability density function are studied. We show...
This thesis entitled Reliability Modelling and Analysis in Discrete time Some Concepts and Models U...
In this note the negative hyper geometric, Waring and geometric models are characterized by the dist...
Most of the well-known univariate continuous distributions are characterized based on a simple relat...
This monograph is, as far as the authors have gathered, the first one of its kind which presents var...
A characterization theorem based on the proportional relation between two truncated moments is prove...
Most of the well-known continuous univariate distributions are characterized based on a truncated mo...
Most of the well-known continuous univariate distributions are characterized based on a truncated mo...
Pearson-type distributions can be characterized by the ratio of the first and the second moments tru...
Moments of continuous random variables admitting a probability density function are studied. We show...
Lower partial moments plays an important role in the analysis of risks and in income/poverty studies...
Moments of continuous random variables admitting a probability density function are studied. We show...
Moments of continuous random variables admitting a probability density function are studied. We show...
Moments of continuous random variables admitting a probability density function are studied. We show...
Moments of continuous random variables admitting a probability density function are studied. We show...
Moments of continuous random variables admitting a probability density function are studied. We show...
This thesis entitled Reliability Modelling and Analysis in Discrete time Some Concepts and Models U...
In this note the negative hyper geometric, Waring and geometric models are characterized by the dist...
Most of the well-known univariate continuous distributions are characterized based on a simple relat...
This monograph is, as far as the authors have gathered, the first one of its kind which presents var...
A characterization theorem based on the proportional relation between two truncated moments is prove...
Most of the well-known continuous univariate distributions are characterized based on a truncated mo...
Most of the well-known continuous univariate distributions are characterized based on a truncated mo...
Pearson-type distributions can be characterized by the ratio of the first and the second moments tru...
Moments of continuous random variables admitting a probability density function are studied. We show...
Lower partial moments plays an important role in the analysis of risks and in income/poverty studies...
Moments of continuous random variables admitting a probability density function are studied. We show...
Moments of continuous random variables admitting a probability density function are studied. We show...
Moments of continuous random variables admitting a probability density function are studied. We show...
Moments of continuous random variables admitting a probability density function are studied. We show...
Moments of continuous random variables admitting a probability density function are studied. We show...
This thesis entitled Reliability Modelling and Analysis in Discrete time Some Concepts and Models U...
In this note the negative hyper geometric, Waring and geometric models are characterized by the dist...