Estimation of Beta Regression Model with Applied Study
Journal Title: JOURNAL OF ADVANCES IN MATHEMATICS - Year 2016, Vol 12, Issue 11
Abstract
This paper proposes a regression model where the dependent variable is beta distributed. Therefore the observations of the dependent variable must fall within (0,1) interval. This beta regression model produces two regression coefficients: one for the model of the mean and one for the model of the dispersion. Parameter estimation is performed by maximum likelihood and Bayesian method. Finally, numerical study is presented.
Authors and Affiliations
Hanaa Abd El Reheem Salem
Keywords
Related Articles
- EP ID EP651671
- DOI 10.24297/jam.v12i11.10
- Views 136
- Downloads 0
Existence of solution for a coupled system of Volterra type integro - dierential equations with nonlocal conditions
In this paper we study the existence of a unique solution for a boundary value prob-lem of a coupled system of Volterra type integro-dierential equations under nonlocal conditions.
Inventory model of deteriorating items for nonlinear holding cost with time dependent demand.
The objective of this model is to investigate the inventory system for perishable items where time proportional deterioration rate is considered. The Economic order quantity is determined for minimizing the average total...
REGIONAL GRADIENT STRATEGIC SENSORS CHARACTERIZATIONS
In the present paper, the characterizations of regional gradient strategic sensors notions have been given for different cases of regional gradient observability. The results obtained are applied to two dimensional linea...
A q-VARIANT OF STEFFENSEN'S METHOD OF FOURTH-ORDER CONVERGENCE
Starting from q-Taylor formula, we suggest a new q-variant of Stef-fensen's method of fourth-order convergence for solving non-linear equations.
Efficient Simple Tests For Primality
The tests form a general method to decide whether a given positive odd integer is composite or prime. The tests are based on the divisibility properties of the sum of two squared positive integers. The algorithms compris...