Compositional inverse Gaussian models with applications in compositional data analysis with possible zero observations-Reference-Cited by-同舟云学术

Compositional inverse Gaussian models with applications in compositional data analysis with possible zero observations

Author:

Liu Pengyi¹,Tian Guo-Liang²,Yuen Kam Chuen³,Sun Yuan²,Zhang Chi⁴

Affiliation:

1. Department of Statistics, Yunnan University of Finance and Economics, Kunming, People's Republic of China

2. Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, People's Republic of China

3. Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong, People's Republic of China

4. College of Economics, Shenzhen University, Shenzhen, People's Republic of China

Funder

National Natural Science Foundation of China

Fundamental Research Funds of Yunnan, China

Research Grants Council of the Hong Kong Special Administrative Region, China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

Reference21 articles.

2. Hijazi RH. Analysis of compositional data using Dirichlet covariate models [PhD thesis]. Washington (DC): American University; 2003.

3. Zhang B. On compositional data modeling and its biomedical applications [PhD thesis]. New York: Columbia University; 2013.

5. Multivariate methods for proportional shape;Campbell G;ASA Proc Sect Stat Graph,1987

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