## extended new generalized lindley distribution Statistica

A new generalized Lindley distribution scholar.cu.edu.eg. Bhati, Deepesh, A mixture family of proportional and reversed proportional hazard rates with application to exponential distribution (Hassan S. Bakouch) Bhati, Deepesh, Jackknife empirical likelihood based inference for Probability weighted moments (Sudheesh K.K. Sreelakshmi S.), New weighted exponential distribution: Following Nasiru (2015), a modified weighted version of Azzalini (1985) approach was used as follows: Let g(x) be a pdf and be the corresponding survival (or reliability) function such that the cdf, G(x) exist. The new weighted family of distribution is given by Eq. 4:.

### LindleyвЂ“Exponential distribution properties and

Morgenstern type bivariate Lindley Distribution. Weighted Quasi Lindley Distribution with Properties and Applications Rama Shanker1,*, The study of weighted distributions are useful in distribution theory because it provides a new understanding of the existing estimation of parameter and application. Shanker et al (2015), Abstract This paper introduces a new two-parameter mixed Poisson distribution, namely the Poisson-weighted Lindley (P-WL), which is obtained by mixing the Poisson with a new class of weighted Lindley distributions. The closed form, the moment generating function вЂ¦.

This paper introduces a new two-parameter mixed Poisson distribution, namely the Poisson-weighted Lindley (P-WL), which is obtained by mixing the Poisson with a new class of weighted Lindley distributions. The closed form, the moment generating function and the probability generating function are derived. The parameter estimations methods of customer lifetime duration in marketing research. II. KUMARASWAMY LINDLEY DISTRIBUTION In this section we introduce the Kumaraswamy Lindley (KL) distribution. Using (2) in (3), the cdf of the KL is A New Customer Lifetime Duration Distribution: The Kumaraswamy Lindley Distribution Selen Г‡akmakyapan and Gamze Г–zel KadД±lar

A two-parameter weighted Lindley distribution is proposed for modeling survival data. The proposed distribution has the property that the hazard rate (mean residual life) function exhibits bathtub (upside-down bathtub) or increasing (decreasing) shapes. A new generalized Lindley distribution Ibrahim Elbatal1 Faton Merovci2* M. Elgarhy3 studied quasi Lindley distribution. Ghitany et al. [9] developed a two-parameter weighted Lindley distribution and discussed its applications to survival data. Zakerzadah and Dolati [18] The new generalized Lindley distribution is denoted as NGLDabq( , , ).

01.11.2019В В· In this paper, a two-parameter Lindley distribution, of which the one parameter Lindley distribution (LD) is a particular case, for modeling waiting and survival times data has been introduced. Its moments, failure rate function, mean residual life function, and stochastic orderings have been discussed. It is found that the customer lifetime duration in marketing research. II. KUMARASWAMY LINDLEY DISTRIBUTION In this section we introduce the Kumaraswamy Lindley (KL) distribution. Using (2) in (3), the cdf of the KL is A New Customer Lifetime Duration Distribution: The Kumaraswamy Lindley Distribution Selen Г‡akmakyapan and Gamze Г–zel KadД±lar

A NEW CLASS OF GENERALIZED POWER LINDLEY DISTRIBUTION WITH APPLICATION TO LIFETIME DATA BRODERICK O. OLUYEDE, TIANTIAN YANG AND BOIKANYO MAKUBATE Abstract. In this paper, a new class of generalized distribution called the Kumaraswamy Power Lindley (KPL) distribution is proposed and studied. This class of distributions con- Lindley distribution, Weighted distribution, Size biased, Survival function, Hazard function. proposed a new distribution called negative binomial Lindley, Size-biased Poisson-Lindley distribution and its application. Metron-Int J Stat. 2008;66:299-311.

Bivariate Poisson-Lindley Distribution with Application 1 (NBL) (Zamani and Ismail, 2010; Lord and Geedipally, 2011) and Poisson-Weighted In this study, we apply the BPL distribution which was This BPL distribution can used to derive new families of bivariate distribution. The be used for bivariate count data with positive A NEW CLASS OF GENERALIZED POWER LINDLEY DISTRIBUTION WITH APPLICATION TO LIFETIME DATA BRODERICK O. OLUYEDE, TIANTIAN YANG AND BOIKANYO MAKUBATE Abstract. In this paper, a new class of generalized distribution called the Kumaraswamy Power Lindley (KPL) distribution is proposed and studied. This class of distributions con-

### A new weighted Lindley distribution with application

Size Biased Lindley Distribution Properties and its. Lindley distribution, Weighted distribution, Size biased, Survival function, Hazard function. proposed a new distribution called negative binomial Lindley, Size-biased Poisson-Lindley distribution and its application. Metron-Int J Stat. 2008;66:299-311., distribution with a two parameter Lindley distribution for modeling waiting and survival timeвЂ™s data introduced by Shanker et al., 8 Further, Shanker & Tekie9 obtained a new quasi Poisson-Lindley distribution by compounding Poisson distribution with a new quasi Lindley distribution introduced by Shanker & Amanuel.10.

On poisson-lindley distribution and its applications to. Bhati, Deepesh, A mixture family of proportional and reversed proportional hazard rates with application to exponential distribution (Hassan S. Bakouch) Bhati, Deepesh, Jackknife empirical likelihood based inference for Probability weighted moments (Sudheesh K.K. Sreelakshmi S.), Abstract This paper introduces a new two-parameter mixed Poisson distribution, namely the Poisson-weighted Lindley (P-WL), which is obtained by mixing the Poisson with a new class of weighted Lindley distributions. The closed form, the moment generating function вЂ¦.

### Size Biased Lindley Distribution Properties and its

AN ALTERNATIVE REPARAMETRIZATION FOR THE WEIGHTED. The structural properties of a proposed two-parameter weighted Lindley distribution and its maximum likelihood estimation are presented. The proposed distribution provides more flexibility to Lindley distribution, in terms of the shapes of the probability density, hazard rate and mean residual life functions. The purpose of this paper is to introduce a size biased Lindley distribution which is a special case of weighted distributions. Weighted distributions have practical significance where some types of biased occur in a density function, i.e. probability is proportional to the size of the variate, thatвЂ™s why the proposed version of size biased.

Morgenstern type bivariate Lindley Distribution. S. Nadarajah and F.Sharafi, A new weighted Lindley distribution with application, Brazilian Journal of Probability and Statistics, vol. 30, no. 1, pp. 1вЂ“27, Lindley distribution and its application, Mathematics and Computers in Simulation, vol. 78, no. 4, Abstract This paper introduces a new two-parameter mixed Poisson distribution, namely the Poisson-weighted Lindley (P-WL), which is obtained by mixing the Poisson with a new class of weighted Lindley distributions. The closed form, the moment generating function вЂ¦

16.04.2015В В· The weighted distributions provide a comprehensive understanding by adding flexibility in the existing standard distributions. In this article, we considered the weighted Lindley distribution which belongs to the class of the weighted distributions and investigated various its properties. Although A new generalized Lindley distribution Ibrahim Elbatal1 Faton Merovci2* M. Elgarhy3 studied quasi Lindley distribution. Ghitany et al. [9] developed a two-parameter weighted Lindley distribution and discussed its applications to survival data. Zakerzadah and Dolati [18] The new generalized Lindley distribution is denoted as NGLDabq( , , ).

01.11.2019В В· In this paper, a two-parameter Lindley distribution, of which the one parameter Lindley distribution (LD) is a particular case, for modeling waiting and survival times data has been introduced. Its moments, failure rate function, mean residual life function, and stochastic orderings have been discussed. It is found that the 01.11.2019В В· In this paper, a two-parameter Lindley distribution, of which the one parameter Lindley distribution (LD) is a particular case, for modeling waiting and survival times data has been introduced. Its moments, failure rate function, mean residual life function, and stochastic orderings have been discussed. It is found that the

The structural properties of a proposed two-parameter weighted Lindley distribution and its maximum likelihood estimation are presented. The proposed distribution provides more flexibility to Lindley distribution, in terms of the shapes of the probability density, hazard rate and mean residual life functions. The Inverse Weighted Lindley Distribution: Properties, Estimation and an Application on a Failure Time In this paper a new distribution is proposed. A numerical simulation is carried out to examine the efficiency of the bias correction. Finally, an application using a real data set is presented in order to illustrate our proposed

The Inverse Weighted Lindley Distribution: Properties, Estimation and an Application on a Failure Time In this paper a new distribution is proposed. A numerical simulation is carried out to examine the efficiency of the bias correction. Finally, an application using a real data set is presented in order to illustrate our proposed Lindley distribution, Weighted distribution, Size biased, Survival function, Hazard function. proposed a new distribution called negative binomial Lindley, Size-biased Poisson-Lindley distribution and its application. Metron-Int J Stat. 2008;66:299-311.

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## A new probability model with support on unit interval

Weighted Negative Binomial-Poisson Lindley with. Bhati, Deepesh, A mixture family of proportional and reversed proportional hazard rates with application to exponential distribution (Hassan S. Bakouch) Bhati, Deepesh, Jackknife empirical likelihood based inference for Probability weighted moments (Sudheesh K.K. Sreelakshmi S.), The new distribution is applied to real-life data from engineering and the method of maximum likelihood is used to estimate the parameter. Nadarajah S. Lindley distribution and its application. Mathematics and Computers in Simulation. 2008;78(4):493-506. GГіmez-DГ©niz E, CalderГn-Ojeda E..

### A Two-Parameter Lindley Distribution for Modeling Waiting

LindleyвЂ“Exponential distribution properties and. A twoвЂ“parameter weighted Garima distribution with properties and application. Biom Biostat Int J. 2018;7(3):234вЂ’242. DOI: 10.15406/bbij.2018.07.00214 case of WLD atОІ=1. Shanker et al.,9 proposed an extension of WLD named a threeвЂ“parameter weighted Lindley distribution which includes Lindley distribution and WLD as particular cases., This paper introduces a new two-parameter mixed Poisson distribution, namely the Poisson-weighted Lindley (P-WL), which is obtained by mixing the Poisson with a new class of weighted Lindley distributions. The closed form, the moment generating function and the probability generating function are derived. The parameter estimations methods of.

Weighted Quasi Lindley Distribution with Properties and Applications Rama Shanker1,*, The study of weighted distributions are useful in distribution theory because it provides a new understanding of the existing estimation of parameter and application. Shanker et al (2015) A new distribution on (0, 1), generalized Log-Lindley distribution, is proposed by extending the Log-Lindley distribution of Gomez et al. (2014). This new distribution is shown to be a weighted Log-Lindley distribution. Its important properties like cumulative distribution function, moments, survival function,

This paper introduces the distribution of a Poisson-weighted exponential, P-WE, which is obtained by mixing the distributions of the Poisson and the weighted exponential, WE. The parameter estimation via the method of moments and the maximum likelihood procedure is shown, and the application of the P-WE on insurance claim count data is considered. Extended New Generalized Lindley Distribution 43 distribution, such as reliability measures, inequality measures and expression for RВґenyi entropy are discussed in section 3 . The estimation of parameters of ex-tended new generalized Lindley distribution using method of moments and method of maximum likelihood are given in section 4 .

Transmuted Weighted Exponential Distribution and Its Application Aijaz Ahmad Dar1, Aquil Ahmed1 and J. A. Reshi2,* 1Department of Statistics & Operations Research, Aligarh Muslim University, Aligarh, U.P., India. 2Department of Statistics, Jammu & Kashmir Higher Education Department Srinagar, India. Bivariate Poisson-Lindley Distribution with Application 1 (NBL) (Zamani and Ismail, 2010; Lord and Geedipally, 2011) and Poisson-Weighted In this study, we apply the BPL distribution which was This BPL distribution can used to derive new families of bivariate distribution. The be used for bivariate count data with positive

The Lindley distribution has been generalized by many authors in recent years. Here, we introduce a new generalization that provides better fits than the Lindley distribution and all of its known generalizations. The distribution contains Lindley and weighted Lindley (Ghitany et al. (Math. Comput. The new distribution is applied to real-life data from engineering and the method of maximum likelihood is used to estimate the parameter. Nadarajah S. Lindley distribution and its application. Mathematics and Computers in Simulation. 2008;78(4):493-506. GГіmez-DГ©niz E, CalderГn-Ojeda E.

Bivariate Poisson-Lindley Distribution with Application 1 (NBL) (Zamani and Ismail, 2010; Lord and Geedipally, 2011) and Poisson-Weighted In this study, we apply the BPL distribution which was This BPL distribution can used to derive new families of bivariate distribution. The be used for bivariate count data with positive Morgenstern type bivariate Lindley Distribution. S. Nadarajah and F.Sharafi, A new weighted Lindley distribution with application, Brazilian Journal of Probability and Statistics, vol. 30, no. 1, pp. 1вЂ“27, Lindley distribution and its application, Mathematics and Computers in Simulation, vol. 78, no. 4,

Morgenstern type bivariate Lindley Distribution. S. Nadarajah and F.Sharafi, A new weighted Lindley distribution with application, Brazilian Journal of Probability and Statistics, vol. 30, no. 1, pp. 1вЂ“27, Lindley distribution and its application, Mathematics and Computers in Simulation, vol. 78, no. 4, A twoвЂ“parameter weighted Garima distribution with properties and application. Biom Biostat Int J. 2018;7(3):234вЂ’242. DOI: 10.15406/bbij.2018.07.00214 case of WLD atОІ=1. Shanker et al.,9 proposed an extension of WLD named a threeвЂ“parameter weighted Lindley distribution which includes Lindley distribution and WLD as particular cases.

We refer to this new generalization as the extended new generalized Lindley distribution (ENGLD). A comprehensive account of the mathematical properties of the new distribution including estimation is presented. A real life data set is considered here to illustrate the relevance of the new model and compared it with other forms of Lindley Gupta and Kundu (Statistics 43 (2009) 621вЂ“643) introduced a new class of weighted exponential distribution and established its several properties. The probability density function of the proposed weighted exponential distribution is unimodal and it has an increasing hazard function.

extended new generalized lindley distribution Statistica. Gupta and Kundu (Statistics 43 (2009) 621вЂ“643) introduced a new class of weighted exponential distribution and established its several properties. The probability density function of the proposed weighted exponential distribution is unimodal and it has an increasing hazard function., Downloadable (with restrictions)! A treatment of the mathematical properties is provided for the Lindley distribution. The properties studied include: moments, cumulants, characteristic function, failure rate function, mean residual life function, mean deviations, Lorenz curve, stochastic ordering, entropies, asymptotic distribution of the.

### The Log Generalized Lindley-Weibull Distribution with

Asgharzadeh Bakouch Nadarajah Sharafi A new. The Log Generalized Lindley-Weibull Distribution with Application Broderick O. Oluyede1, Fedelis Mutiso2, Shujiao Huang3 1Department of Mathematical Sciences, Georgia Southern University 2Department of Biostatistics, University of Washington 3Department of Mathematics, University of Houston, The purpose of this paper is to introduce a size biased Lindley distribution which is a special case of weighted distributions. Weighted distributions have practical significance where some types of biased occur in a density function, i.e. probability is proportional to the size of the variate, thatвЂ™s why the proposed version of size biased.

### On the Bayesian estimation of the weighted Lindley

Publications Deepesh. The Log Generalized Lindley-Weibull Distribution with Application Broderick O. Oluyede1, Fedelis Mutiso2, Shujiao Huang3 1Department of Mathematical Sciences, Georgia Southern University 2Department of Biostatistics, University of Washington 3Department of Mathematics, University of Houston New weighted exponential distribution: Following Nasiru (2015), a modified weighted version of Azzalini (1985) approach was used as follows: Let g(x) be a pdf and be the corresponding survival (or reliability) function such that the cdf, G(x) exist. The new weighted family of distribution is given by Eq. 4:.

customer lifetime duration in marketing research. II. KUMARASWAMY LINDLEY DISTRIBUTION In this section we introduce the Kumaraswamy Lindley (KL) distribution. Using (2) in (3), the cdf of the KL is A New Customer Lifetime Duration Distribution: The Kumaraswamy Lindley Distribution Selen Г‡akmakyapan and Gamze Г–zel KadД±lar The Log Generalized Lindley-Weibull Distribution with Application Broderick O. Oluyede1, Fedelis Mutiso2, Shujiao Huang3 1Department of Mathematical Sciences, Georgia Southern University 2Department of Biostatistics, University of Washington 3Department of Mathematics, University of Houston

This paper introduces the distribution of a Poisson-weighted exponential, P-WE, which is obtained by mixing the distributions of the Poisson and the weighted exponential, WE. The parameter estimation via the method of moments and the maximum likelihood procedure is shown, and the application of the P-WE on insurance claim count data is considered. application to problems in areas such as engineering, finance, economics developed a two parameters weighted Lindley distribution and discussed its applications to survival data. Nadarajah et al. [25] A New Transmuted Lindley Distribution The new generalization of the power Lindley (NGPL) distribution,

01.11.2019В В· In this paper, a two-parameter Lindley distribution, of which the one parameter Lindley distribution (LD) is a particular case, for modeling waiting and survival times data has been introduced. Its moments, failure rate function, mean residual life function, and stochastic orderings have been discussed. It is found that the Gupta and Kundu (Statistics 43 (2009) 621вЂ“643) introduced a new class of weighted exponential distribution and established its several properties. The probability density function of the proposed weighted exponential distribution is unimodal and it has an increasing hazard function.

06.06.2017В В· The purpose of this paper is to introduce a size biased Lindley distribution which is a special case of weighted distributions. Weighted distributions have practical significance where some types of biased occur in a density function, i.e. probability is proportional to the size of the variate, thatвЂ™s why the proposed version of application to problems in areas such as engineering, finance, economics developed a two parameters weighted Lindley distribution and discussed its applications to survival data. Nadarajah et al. [25] A New Transmuted Lindley Distribution The new generalization of the power Lindley (NGPL) distribution,

The Lindley distribution has been generalized by many authors in recent years. Here, we introduce a new generalization that provides better fits than the Lindley distribution and all of its known generalizations. The distribution contains Lindley and weighted Lindley (Ghitany et al. (Math. Comput. A new distribution on (0, 1), generalized Log-Lindley distribution, is proposed by extending the Log-Lindley distribution of Gomez et al. (2014). This new distribution is shown to be a weighted Log-Lindley distribution. Its important properties like cumulative distribution function, moments, survival function,

A NEW CLASS OF GENERALIZED POWER LINDLEY DISTRIBUTION WITH APPLICATION TO LIFETIME DATA BRODERICK O. OLUYEDE, TIANTIAN YANG AND BOIKANYO MAKUBATE Abstract. In this paper, a new class of generalized distribution called the Kumaraswamy Power Lindley (KPL) distribution is proposed and studied. This class of distributions con- 14.07.2015В В· A new generalization of the Lindley distribution is recently proposed by Ghitany et al. [1], called as the power Lindley distribution. Another generalization of the Lindley distribution was introduced by Nadarajah et al. [2], named as the generalized Lindley distribution. This paper proposes a more

Abstract. In this paper, we introduce a new class of distributions generated by an integral transform of the probability density function of the Lindley distribution which results in a model that is more flexible in the sense that the derived model spans distributions with increasing failure rate, decreasing failure rate and upside down bathtub We refer to this new generalization as the extended new generalized Lindley distribution (ENGLD). A comprehensive account of the mathematical properties of the new distribution including estimation is presented. A real life data set is considered here to illustrate the relevance of the new model and compared it with other forms of Lindley

The Log Generalized Lindley-Weibull Distribution with Application Broderick O. Oluyede1, Fedelis Mutiso2, Shujiao Huang3 1Department of Mathematical Sciences, Georgia Southern University 2Department of Biostatistics, University of Washington 3Department of Mathematics, University of Houston A new generalized Lindley distribution Ibrahim Elbatal1 Faton Merovci2* M. Elgarhy3 studied quasi Lindley distribution. Ghitany et al. [9] developed a two-parameter weighted Lindley distribution and discussed its applications to survival data. Zakerzadah and Dolati [18] The new generalized Lindley distribution is denoted as NGLDabq( , , ).

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