A New Technique for Estimating Population Distribution of Growth Curve Parameters with Longitudinal and Cross-sectional Data

Author(s):  
Sedigheh Mirzaei Salehabadi ◽  
Debasis Sengupta
2016 ◽  
Vol 8 ◽  
pp. 1-7 ◽  
Author(s):  
Ryan J. Kowalski ◽  
C.D. Morrow ◽  
Armando G. McDonald ◽  
Girish M. Ganjyal

1999 ◽  
Vol 47 (17) ◽  
pp. 4405-4413 ◽  
Author(s):  
J.M. Sánchez ◽  
S. El-Mansy ◽  
B. Sun ◽  
T. Scherban ◽  
N. Fang ◽  
...  

Biorheology ◽  
2018 ◽  
Vol 54 (5-6) ◽  
pp. 153-165 ◽  
Author(s):  
Takahiro Sasaki ◽  
Junji Seki ◽  
Tomoaki Itano ◽  
Masako Sugihara-Seki

1994 ◽  
Vol 9 (2) ◽  
pp. 215-223 ◽  
Author(s):  
Jacky C. So

Three competitive distributions are offered by the literature to explain the non-normality and skewness of the cross-sectional distribution of financial ratios: the mixture of normal distributions, the lognormal distribution, and the gamma distribution. Using a new technique, this paper shows that the lognormal distribution and the gamma distribution are not supported by the empirical evidence. Although these two distributions indeed capture skewness, they do not portray the correct shape of the distributions. The non-normal stable Paretian distribution seems to be good candidate to describe the distribution of financial ratios.


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