Results 51 to 60 of about 56,994 (331)

The Semi-Hyperbolic Distribution and Its Applications

open access: yesStats, 2023
This paper studies a subclass of the class of generalized hyperbolic distribution called the semi-hyperbolic distribution. We obtain analytical expressions for the cumulative distribution function and, specifically, their first and second lower partial ...
Roman V. Ivanov
doaj   +1 more source

Some Properties of Gamma Generated Distributions

open access: yesStatistica, 2015
Statistica, Vol 75, No 4 (2015)
Manisha Pal, Montip Tiensuwan
openaire   +3 more sources

Accuracy Evaluation of Standardized Precipitation Index (SPI) Estimation under Conventional Assumption in Yeşilırmak, Kızılırmak, and Konya Closed Basins, Turkey

open access: yesAdvances in Meteorology, 2023
The doubt in the calculation algorithm of the standardized precipitation index (SPI), which is widely preferred in the evaluation and monitoring of drought, still remains up-to-date because its calculation process is performed in the form of ...
Mehmet Ali Hinis, Mehmet Selim Geyikli
doaj   +1 more source

A Generalization of the Gamma Distribution

open access: yesThe Annals of Mathematical Statistics, 1962
This paper concerns a generalization of the gamma distribution, the specific form being suggested by Liouville's extension to Dirichlet's integral formula [3]. In this form it also may be regarded as a special case of a function introduced by L. Amoroso [1] and R. d'Addario [2] in analyzing the distribution of economic income.
openaire   +2 more sources

On Mixtures of Gamma distributions, distributions with hyperbolically monotone densities and Generalized Gamma Convolutions (GGC) [PDF]

open access: yesProbability and Mathematical Statistics, 2020
Let $Y$ be a standard Gamma(k) distributed random variable, $k>0$, and let $X$ be an independent positive random variable. We prove that if $X$ has a hyperbolically monotone density of order $k$ ($HM_k$), then the distributions of $Y\cdot X$ and $Y/X$ are generalized gamma convolutions (GGC). This result extends results of Roynette et al.
openaire   +4 more sources

Voice Activity Detection with Generalized Gamma Distribution [PDF]

open access: yes2006 IEEE International Conference on Multimedia and Expo, 2006
In this work, we model speech samples with the generalized Gamma distribution and evaluate the efficiency of such modelling for voice activity detection. Using a computationally inexpensive maximum likelihood approach, we employ the Bayesian Information Criterion for identifying the phoneme boundaries in noisy speech.
George Almpanidis   +1 more
openaire   +1 more source

The Generalized Gamma Shared Frailty Model under Different Baseline Distributions [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences, 2019
In the analysis of clustered survival data, shared frailty models are often used when observations in the same group share common unknown risk factors or frailty.
Sukhmani Sidhu   +2 more
doaj   +1 more source

Some new results for the transmuted generalized gamma distribution

open access: yesJournal of Computational and Applied Mathematics, 2019
The last decade is full on new classes of distributions that become precious for applied statisticians. Extending known distributions by adding parameters enables us to obtain more flexible models.
Abdus Saboor   +5 more
semanticscholar   +1 more source

A comparison of the generalized gamma and exponentiated Weibull distributions [PDF]

open access: yesStatistics in Medicine, 2014
AbstractThis paper provides a comparison of the three‐parameter exponentiated Weibull (EW) and generalized gamma (GG) distributions. The connection between these two different families is that the hazard functions of both have the four standard shapes (increasing, decreasing, bathtub, and arc shaped), and in fact, the shape of the hazard is the same ...
Cox, Christopher, Matheson, Matthew
openaire   +3 more sources

An Application of a Generalized Gamma Distribution

open access: yesThe Annals of Mathematical Statistics, 1964
Let $\{x_{i1}, \cdots, x_{in_i}\}, i = 1, 2, \cdots, k, k \geqq 2, n_i \geqq 2$, be random samples from stochastically independent Gaussian populations with unknown means $\mu_i$ and unknown variances $\sigma^2_i$. To test the hypothesis $H_0:\sigma^2_1 = \cdots = \sigma^2_k = \sigma^2$, unknown, one may use a likelihood ratio test wherein $H_0$ is ...
openaire   +3 more sources

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