Results 51 to 60 of about 56,994 (331)
The Semi-Hyperbolic Distribution and Its Applications
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
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Some Properties of Gamma Generated Distributions
Statistica, Vol 75, No 4 (2015)
Manisha Pal, Montip Tiensuwan
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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
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A Generalization of the Gamma Distribution
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.
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On Mixtures of Gamma distributions, distributions with hyperbolically monotone densities and Generalized Gamma Convolutions (GGC) [PDF]
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.
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Voice Activity Detection with Generalized Gamma Distribution [PDF]
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
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The Generalized Gamma Shared Frailty Model under Different Baseline Distributions [PDF]
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
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Some new results for the transmuted generalized gamma distribution
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
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A comparison of the generalized gamma and exponentiated Weibull distributions [PDF]
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
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An Application of a Generalized Gamma Distribution
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 ...
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