Kareema Kadim | University of Babylon (original) (raw)
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Papers by Kareema Kadim
In this paper we introduce new Binomial mixture distribution, Binomial-Erlang Distribution (B-Er)... more In this paper we introduce new Binomial mixture distribution, Binomial-Erlang Distribution (B-Er) based on the transformation where p=e^(-λ) on the interval [0, ∞) by using Moments methods and Laplace transform in mixing binomial distribution with Erlang distribution.
In this paper we discuss the Marshall – Olkin Extended Weibull (MOEW)Distribution as the probabil... more In this paper we discuss the Marshall – Olkin Extended Weibull (MOEW)Distribution as the probability density function(p. d. f.) of four parameters .we use upper record values from the MOEWD and we establish some new recurrence relations between the single moments from the MOEWD(when scale (α=1)) as well as between the double moments. Therefore we derive best linear unbiased estimators(BLUE) of three parameters (scale, location, shape) of Marshall – Olkin Extended Weibull (MOEW)Distribution .
Since the widely using of the weighted distribution in many fields of real life such various area... more Since the widely using of the weighted distribution in many fields of real life such various areas including medicine, ecology, reliability, and so on , then we try to shed light and record our contribution in this field through the research. Derivation Even-power weighted distribution (EPWD) with some of statistical properties is discussed in this paper
In this paper we introduce a new distribution that is dependent on the Exponential and Pareto dis... more In this paper we introduce a new distribution that is dependent on the Exponential and Pareto distribution and present some properties such that the moment generated function, mean, mode, median , variance , the r-th moment about the mean, the r-th moment about the origin, reliability , hazard functions , coefficients of variation ,of sekeness and of kurtosis. Finally, we estimate the parameter .
In this paper we introduce new Binomial mixture distribution, Binomial-Erlang Distribution (B-Er)... more In this paper we introduce new Binomial mixture distribution, Binomial-Erlang Distribution (B-Er) based on the transformation where p=e^(-λ) on the interval [0, ∞) by using Moments methods and Laplace transform in mixing binomial distribution with Erlang distribution.
In this paper we discuss the Marshall – Olkin Extended Weibull (MOEW)Distribution as the probabil... more In this paper we discuss the Marshall – Olkin Extended Weibull (MOEW)Distribution as the probability density function(p. d. f.) of four parameters .we use upper record values from the MOEWD and we establish some new recurrence relations between the single moments from the MOEWD(when scale (α=1)) as well as between the double moments. Therefore we derive best linear unbiased estimators(BLUE) of three parameters (scale, location, shape) of Marshall – Olkin Extended Weibull (MOEW)Distribution .
Since the widely using of the weighted distribution in many fields of real life such various area... more Since the widely using of the weighted distribution in many fields of real life such various areas including medicine, ecology, reliability, and so on , then we try to shed light and record our contribution in this field through the research. Derivation Even-power weighted distribution (EPWD) with some of statistical properties is discussed in this paper
In this paper we introduce a new distribution that is dependent on the Exponential and Pareto dis... more In this paper we introduce a new distribution that is dependent on the Exponential and Pareto distribution and present some properties such that the moment generated function, mean, mode, median , variance , the r-th moment about the mean, the r-th moment about the origin, reliability , hazard functions , coefficients of variation ,of sekeness and of kurtosis. Finally, we estimate the parameter .