Tilted Normal Distribution and Its Survival Properties
Sudhansu S. Maiti, Mithu Dey
Abstract
Sudhansu S. Maiti, Mithu Dey
Abstract
To analyze skewed data, skew normal distribution is proposed by Azzalini (1985). For practical problems of estimating the skewness parame- ter of this distribution, Gupta and Gupta (2008) suggested power normal dis- tribution as an alternative. We search for another alternative, named tilted normal distribution following the approach of Marshall and Olkin (1997) to add a positive parameter to a general survival function and taking survival function is of normal form. We have found out dierent properties of this distribution. Maximum likelihood estimate of parameters of this distribu- tion have been found out. Comparison of tilted normal distribution with skew normal and power normal distribution have been made.
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To analyze skewed data, skew normal distribution is proposed by Azzalini (1985). For practical problems of estimating the skewness parame- ter of this distribution, Gupta and Gupta (2008) suggested power normal dis- tribution as an alternative. We search for another alternative, named tilted normal distribution following the approach of Marshall and Olkin (1997) to add a positive parameter to a general survival function and taking survival function is of normal form. We have found out dierent properties of this distribution. Maximum likelihood estimate of parameters of this distribu- tion have been found out. Comparison of tilted normal distribution with skew normal and power normal distribution have been made.
Key concepts: Skew normal distribution, Skewness, Normal distribution, Half-normal distribution, Distribution (mathematics), Mathematics, Skew, Generalized normal distribution