✦ LIBER ✦

Parameter estimation for power-law distributions by maximum likelihood methods

✍ Scribed by H. Bauke

Book ID: 111622308
Publisher: Springer
Year: 2007
Tongue: English
Weight: 347 KB
Volume: 58
Category: Article
ISSN: 1434-6036
DOI: 10.1140/epjb/e2007-00219-y

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Maximum likelihood estimation for the ex

Maximum likelihood estimation for the exponential power function parameters

✍ Agrò, G. 📂 Article 📅 1995 🏛 Taylor and Francis Group 🌐 English ⚖ 348 KB

Maximum-likelihood estimates of the norm

Maximum-likelihood estimates of the normal distribution law parameters of test results

✍ Yu. I. Boitsov; T. A. Guzeva 📂 Article 📅 2008 🏛 Pleiades Publishing 🌐 English ⚖ 135 KB

Estimation of copolymerization kinetic p

Estimation of copolymerization kinetic parameters by maximum likelihood method

✍ Ali Habibi; Ebrahim Vasheghani-Farahani 📂 Article 📅 2004 🏛 American Institute of Chemical Engineers 🌐 English ⚖ 214 KB 👁 2 views

On maximum likelihood estimation for the

On maximum likelihood estimation for the two parameter Weibull distribution

✍ A.J. Watkins 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 366 KB

A Maximum Likelihood Estimator for Shape

A Maximum Likelihood Estimator for Shape Parameters of S-Distributions

✍ Eberhard O. Voit 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 251 KB 👁 2 views

The S-distribution is a four-parameter distribution that is defined in terms of a differential equation, in which the cumulative is represented as the dependent variable: The article proposes a maximum likelihood estimator for the shape parameters of this distribution.

Spectral Parameter Estimation by an Iter

Spectral Parameter Estimation by an Iterative Quadratic Maximum Likelihood Method

✍ Guang Zhu; W.Y. Choy; B.C. Sanctuary 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 149 KB

An iterative quadratic maximum likelihood (IQML) method is applied to spectral parameter estimation of 1D NMR data. A careful comparison of the linear prediction (LP) method based on the singular value decomposition, the total least squares (TLS) method, and IQML has clearly demonstrated that IQML i