Everything about Location parameter
Concept in statistics
In statistics, a location parameter of a probability distribution is a scalar- or vector-valued parameter, which determines the "location" or shift of the distribution. In the literature of location parameter estimation, the probability distributions with such parameter are found to be formally defined in one of the following equivalent ways:either as having a probability density function or probability mass function ; or having a cumulative distribution function ; or being defined as resulting from the random variable transformation, where is a random variable with a certain, possibly unknown, distribution. See also § Additive noise. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Location parameterA 5-minute orientation
- Pick up a classic book: Java software solutionsThe most-reprinted book on the subject
- Go sideways: Cauchy distributionA closely related topic
- Go sideways: Maximum likelihood estimationA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
- No matching papers found.
📚 Books worth reading
Java software solutionsLewis, John, John E. Lewis Ph. D. · 1997
Highlights of 'Boletín de los observatorios de Tonantzintla y Tacubaya'Latin American Regional Meeting of Astronomy (12th 2007 Margarita Island, Venezuela) · 2008
Applied nonparametric statisticsWayne W. Daniel · 1978- 📕Modified Denavit-Hartenberg parameters for better location of joint axis systems in robot armsL. Keith Barker · 1986
QGIS for Hydrological AppllicationsJohannes van der Kwast, Kurt Menke · 2019
Energy manualManfred Hegger, Matthias Fuchs · 2008- 📕A collection of three papers on the robust estimation of location parameter (nonparametrics)A. K. Md. Ehsanes Saleh · 1978
On the estimation of location parameters in the multivariate one sample and two sample problemsMadan Lal Puri · 1968
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Cauchy distribution The Cauchy distribution, named after Augustin-Louis Cauchy, is a continuous probability distribution. It is also known, especially among physicists, as…
- Maximum likelihood estimation In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of an assumed probability distribution, given some observed…
- Fisher information In mathematical statistics, the Fisher information is a way of measuring the amount of information that an observable random variable X carries about an…
- Maximum a posteriori estimation In Bayesian statistics, the maximum a posteriori (MAP) estimate of an unknown quantity is the mode of the posterior density. The MAP can be used to obtain…
- Von Mises distribution In probability theory and directional statistics, the von Mises distribution (also known as the circular normal distribution or the Tikhonov distribution)…
- Sufficient statistic In statistics, sufficiency is a property of a statistic computed on a sample dataset in relation to a parametric model of the dataset. A sufficient statistic…
- Scale parameter In probability theory and statistics, a scale parameter is a special kind of numerical parameter of a parametric family of probability distributions. The…
- Gaussian function In mathematics, a Gaussian function, often simply referred to as a Gaussian, is a function of the base form f(x)=exp(−x2) and with parametric extension…