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Everything about Wrapped normal distribution
Probability distribution on the circle
In probability theory and directional statistics, a wrapped normal distribution is a wrapped probability distribution that results from the "wrapping" of the normal distribution around the unit circle. It finds application in the theory of Brownian motion and is a solution to the heat equation for periodic boundary conditions. It is closely approximated by the von Mises distribution, which, due to its mathematical simplicity and tractability, is the most commonly used distribution in directional statistics. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Wrapped normal distributionA 5-minute orientation
- Skim a recent paper: Exponential-Wrapped Distributions on Symmetric SpacesInfluential work since 2022
- Pick up a classic book: Hearing on code of fair practices and competitionThe most-reprinted book on the subject
- Read the landmark paper: Maximum likelihood estimation for the wrapped Cauchy distributionCited 99 times
- Go sideways: Circular distributionA closely related topic
- Go sideways: Directional statisticsA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Maximum likelihood estimation for the wrapped Cauchy distribution
The wrapped skew-normal distribution on the circle
Modelling asymmetrically distributed circular data using the wrapped skew-normal distribution
Wrapped Lindley distribution
The Wrapped Gamma Distribution and Wrapped Sums and Linear Combinations of Independent Gamma and Laplace Distributions
The wrapped XLindley distribution
A new wrapped exponential distribution
Strain distribution of basalt FRP-wrapped concrete cylinders
🆕 Influential since 2022
Exponential-Wrapped Distributions on Symmetric Spaces
A characteristic function based circular distribution family and its goodness of fit : The flexible wrapped Linnik family
The wrapped Rama distribution
Wrapped Exponential Distribution Generalizations for Circular Data Analysis
Wrapped Stable Distribution-based Inference for Finite Mixture Models: Principles and Applications
📚 Books worth reading
- 📕Hearing on code of fair practices and competitionUnited States. National Recovery Administration · 1933
- 📕Hearing on code of fair practices and competitionUnited States. National Recovery Administration · 1933
ChristoChristo, Wolfgang Volz · 1964
James RosenquistJames Rosenquist · 1968- 📕ThailandUnited States. International Trade Administration. Office of the Pacific Basin · 1993
- 📕A guide to IT contractingMichael R. Overly · 2012
The unified modeling language user guideGrady Booch, James Rumbaugh · 1999
Relatively SpeakingRalph J. Fletcher, Krudop · 1999
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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