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Advances in multi-variate statistical analysis : Pillai memorial vol.

Gupta, Arjun K. (contributor) - 1987

Persistent link: https://www.econbiz.de/10000734611

Normal and logistic random variables : distribution of the linear combination

Gupta, Arjun K.; Nadarajah, Saralees - In: Statistical papers 49 (2008) 2, pp. 201-209

Persistent link: https://www.econbiz.de/10003644477

A compound beta distribution with applications in finance

Nadarajah, Saralees; Gupta, Arjun K. - In: Statistical methods & applications : SMA ; journal of … 16 (2007) 1, pp. 69-83

Persistent link: https://www.econbiz.de/10003489176

Robustness of the inference procedures for the global minimum variance portfolio weights in a skew-normal model

Bodnar, Taras; Gupta, Arjun K. - In: The European journal of finance 21 (2015) 13/15, pp. 1176-1194

Persistent link: https://www.econbiz.de/10011419827

A new process capability index

Gupta, Arjun K. - In: Metrika : international journal for theoretical and … 45 (1997) 3, pp. 213-224

Persistent link: https://www.econbiz.de/10001220700

Bayes estimation for the Marshall-Olkin exponential distribution

Peña, Edsel A. - In: Journal of the Royal Statistical Society 52 (1990) 2, pp. 379-389

Persistent link: https://www.econbiz.de/10001085320

Change point analysis of a Gaussian model

Chen, Jie; Gupta, Arjun K. - In: Statistical papers 40 (1999) 3, pp. 323-333

Persistent link: https://www.econbiz.de/10001401146

Statistical inference for the beta coefficient

Bodnar, Taras; Gupta, Arjun K.; Vitlinskyi, Valdemar; … - In: Risks : open access journal 7 (2019) 2/56, pp. 1-14

The beta coefficient plays a crucial role in finance as a risk measure of a portfolio in comparison to the benchmark portfolio. In the paper, we investigate statistical properties of the sample estimator for the beta coefficient. Assuming that both the holding portfolio and the benchmark...

Persistent link: https://www.econbiz.de/10012019030