TAILIEUCHUNG - Constructing a new family distribution with methods of estimation

The estimation of the model parameters is performed by maximum likelihood method. We hope that the new distribution proposed here will serve as an alternative model to the other models which are available in the literature for modeling positive real data in many areas. | Constructing a new family distribution with methods of estimation International Journal of Management IJM Volume 7 Issue 6 September October 2016 191 Article ID IJM_07_06_021 Available online at http ijm JType IJM amp VType 7 amp IType 6 Journal Impact Factor 2016 Calculated by GISI ISSN Print 0976-6502 and ISSN Online 0976-6510 IAEME Publication CONSTRUCTING A NEW FAMILY DISTRIBUTION WITH METHODS OF ESTIMATION Rawa M. Saleh Department of Statistics Economic and Administration College Al Mustansryia University Iraq. ABSTRACT obtain new generated transmuted Kumarasmay distribution. The . . and A new parameter is introduced to expand the family of two parameters Kumarasmy to this distribution are studied parameters were obtained by moment and maximum moment of likelihood method and regression estimator. Key words Transmuted Kumarasmay Distribution Moment Estimators Maximum likelihood Estimator and regression estimator. Cite this Article Rawa M. Saleh Constructing a New Family Distribution with Methods of Estimation. International Journal of Management 7 6 2016 pp. 189 191. http IJM JType IJM amp VType 7 amp IType 6 1. INTRODUCTION work on expanding Kumarasmay distribution with two parameters to another family using the We can expand family of any distribution by introducing new parameter to the given . In this paper we parameter from some quadratic transformation on the given to obtain a new Cumulative distribution function then new generated transmuted . . . Many researchers work on this new mathematical formulation like Ashour and Eltehiwy 2013 5 studied a generalization of the Lomax distribution so-called the transmuted Lomax distribution is proposed and studied. Various structural properties including explicit expressions for the moments. The estimation of the model parameters is performed by maximum likelihood method. We hope that the new distribution proposed .

• Xã hội học
• Estimation of the model parameters
• Maximum likelihood method
• Transmuted Kumarasmay Distribution
• Estimator and regression estimator
• Family of two parameters Kumarasmy
• Milk fever
• Logistic regression
• Metabolic diseases and probability
• Probability parameters estimation
• Logistic regression model
• Báo cáo sinh học hay
• cách trình bày báo cáo
• báo cáo sinh học
• công trình nghiên cứu sinh học
• tài liệu về sinh học
• Battery management system
• State of charge
• Equivalent circuit model
• Uncented Kalmann filter
• Calculation limitation
• Chromatography A
• Ion exchange chromatography
• Mechanistic model
• Numeric optimization
• Parameter estimation
• Steric mass action