AU - Alavi, Mohammad Reza
TI - On a New Bimodal Normal Family
PT - JOURNAL ARTICLE
TA - srtc-jsri
JN - srtc-jsri
VO - 8
VI - 2
IP - 2
4099 - http://jsri.srtc.ac.ir/article-1-72-en.html
4100 - http://jsri.srtc.ac.ir/article-1-72-en.pdf
SO - srtc-jsri 2
ABĀ - The unimodal distributions are frequently used in the theorical statistical studies. But in applied statistics, there are many situations in which the unimodal distributions can not be fitted to the data. For example, the distribution of the data outside the control zone in quality control or outlier observations in linear models and time series may require to be a bimodal. These situations, occur when the recorded data have the probability proportional to an increasing function of absolute value of deviations. In this paper a new family of distributions called double normal family of distribution is introduced and characterized. This symmetric family is a subclass of the univariate Kotz type distributions. The normal distribution is a special case of this family. Estimation of location and scale parameters by moment and maximum likelihood methods are given. Some pivotal quantity are introduced. Confidence intervals for some parameters by numerical methods are given.
CP - IRAN
IN -
LG - eng
PB - srtc-jsri
PG - 163
PT - Research
YR - 2012