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Published on: November 15, 2013
Properties of Doubly-Truncated Gamma Variables
Christopher S Coffey1, Keith E Muller2
1A-1124 Medical Center North, Dept of Preventive Medicine, Vanderbilt Univ. School of Med., Nashville, Tennessee 37232-2637.
This study introduces a doubly-truncated gamma distribution with known lower and upper bounds. It provides simplified mathematical forms for its properties and extends these to the doubly-truncated noncentral chi-square distribution.
Area of Science:
- Statistics
- Probability Theory
- Reliability Engineering
Background:
- The gamma distribution is extensively used in reliability and life-testing.
- Existing research often assumes only an upper bound (0, u) for the variable's support.
- Doubly-truncated distributions are less explored, particularly with known truncation points.
Purpose of the Study:
- To derive and present simplified mathematical forms for a doubly-truncated gamma distribution.
- To extend these findings to the doubly-truncated noncentral chi-square distribution.
- To provide a comprehensive characterization of these distributions.
Main Methods:
- Derivation of density and cumulative distribution function (CDF) for the doubly-truncated gamma distribution.
- Formulation of moment generating function, cumulant generating function, and characteristic function.
- Extension of methods to the doubly-truncated noncentral chi-square distribution.
Main Results:
- Provided simple, explicit forms for the density, CDF, and moments of the doubly-truncated gamma distribution.
- Derived the density, CDF, and moments for the doubly-truncated noncentral chi-square distribution.
- Established a clear mathematical framework for these truncated distributions.
Conclusions:
- The study successfully characterized the doubly-truncated gamma distribution with known bounds.
- The derived mathematical forms offer practical tools for statistical analysis in relevant fields.
- The extension to the noncentral chi-square distribution broadens the applicability of these findings.
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